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quivr/backend/requirements-dev.lock

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feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# generated by rye
# use `rye lock` or `rye sync` to update this lockfile
#
# last locked with the following flags:
# pre: false
# features: ["quivr-core/all"]
# all-features: false
# with-sources: true
# generate-hashes: false
# universal: true
--index-url https://pypi.org/simple/
--extra-index-url https://download.pytorch.org/whl/cpu
-e file:.
-e file:api
# via quivr-worker
-e file:core
# via quivr-api
# via quivr-worker
feat: introducing configurable retrieval workflows (#3227) # Description Major PR which, among other things, introduces the possibility of easily customizing the retrieval workflows. Workflows are based on LangGraph, and can be customized using a [yaml configuration file](core/tests/test_llm_endpoint.py), and adding the implementation of the nodes logic into [quivr_rag_langgraph.py](https://github.com/QuivrHQ/quivr/blob/1a0c98437a357e7bbc8039f3fd49912052a1640b/backend/core/quivr_core/quivr_rag_langgraph.py) This is a first, simple implementation that will significantly evolve in the coming weeks to enable more complex workflows (for instance, with conditional nodes). We also plan to adopt a similar approach for the ingestion part, i.e. to enable user to easily customize the ingestion pipeline. Closes CORE-195, CORE-203, CORE-204 ## Checklist before requesting a review Please delete options that are not relevant. - [X] My code follows the style guidelines of this project - [X] I have performed a self-review of my code - [X] I have commented hard-to-understand areas - [X] I have ideally added tests that prove my fix is effective or that my feature works - [X] New and existing unit tests pass locally with my changes - [X] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-23 19:11:06 +03:00
-e file:core/MegaParse
# via quivr-core
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
-e file:worker
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
-e file:worker/diff-assistant
# via quivr-worker
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
aiofiles==23.2.1
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-core
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
aiohappyeyeballs==2.4.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via aiohttp
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
aiohttp==3.10.5
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain
# via langchain-community
# via litellm
# via llama-index-core
# via llama-index-legacy
# via realtime
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
aiosignal==1.3.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via aiohttp
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
amqp==5.2.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via kombu
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
annotated-types==0.7.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pydantic
feat(anthropic): add llm (#3146) This commit adds the langchain_openai and langchain_anthropic dependencies to the `llm_endpoint.py` file. # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-04 16:24:21 +03:00
anthropic==0.34.1
# via langchain-anthropic
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
antlr4-python3-runtime==4.9.3
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via omegaconf
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
anyascii==0.3.2
# via python-doctr
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
anyio==3.7.1
feat(anthropic): add llm (#3146) This commit adds the langchain_openai and langchain_anthropic dependencies to the `llm_endpoint.py` file. # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-04 16:24:21 +03:00
# via anthropic
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via asyncer
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via httpx
# via openai
# via starlette
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via watchfiles
appnope==0.1.4 ; platform_system == 'Darwin'
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipykernel
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
asttokens==2.4.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via stack-data
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
async-timeout==4.0.3 ; python_full_version < '3.12'
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via asyncpg
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
asyncer==0.0.2
# via chainlit
asyncpg==0.29.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
attrs==24.2.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via aiohttp
# via jsonschema
# via referencing
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
babel==2.16.0
# via mkdocs-material
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
backoff==2.2.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via posthog
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
beautifulsoup4==4.12.3
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index-readers-file
# via markdownify
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via nbconvert
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
bidict==0.23.1
# via python-socketio
billiard==4.2.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via celery
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
black==24.8.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via flake8-black
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
bleach==6.1.0
# via nbconvert
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
boto3==1.35.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via cohere
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
botocore==1.35.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via boto3
# via s3transfer
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
cachetools==5.5.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-auth
# via tox
celery==5.4.0
# via flower
# via quivr-api
# via quivr-worker
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
certifi==2022.12.7
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via httpcore
# via httpx
# via requests
# via sentry-sdk
# via unstructured-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
cffi==1.17.0 ; platform_python_implementation != 'PyPy' or implementation_name == 'pypy'
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via cryptography
# via pyzmq
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
cfgv==3.4.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pre-commit
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
chainlit==1.1.402
chardet==5.2.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via tox
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
charset-normalizer==2.1.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pdfminer-six
# via requests
# via unstructured-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
chevron==0.14.0
# via literalai
click==8.1.7
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via black
# via celery
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via click-didyoumean
# via click-plugins
# via click-repl
# via litellm
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via mkdocs
# via mkdocstrings
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via nltk
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via python-oxmsg
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via uvicorn
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
click-didyoumean==0.3.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via celery
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
click-plugins==1.1.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via celery
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
click-repl==0.3.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via celery
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
cobble==0.1.4
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via mammoth
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
cohere==5.8.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain-cohere
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
colorama==0.4.6
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via click
# via colorlog
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via griffe
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipython
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via mkdocs
# via mkdocs-material
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pytest
# via tox
# via tqdm
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
coloredlogs==15.0.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via onnxruntime
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
colorlog==6.8.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
comm==0.2.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipykernel
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
contourpy==1.2.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via matplotlib
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
coverage==7.6.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pytest-cov
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
cryptography==43.0.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via msal
# via pdfminer-six
# via pyjwt
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
cycler==0.12.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via matplotlib
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
dataclasses-json==0.5.14
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain-community
# via llama-index-core
# via llama-index-legacy
# via unstructured
# via unstructured-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
debugpy==1.8.5
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipykernel
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
decorator==5.1.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipython
feat(anthropic): add llm (#3146) This commit adds the langchain_openai and langchain_anthropic dependencies to the `llm_endpoint.py` file. # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-04 16:24:21 +03:00
defusedxml==0.7.1
feat(assistants): mock api (#3195) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-18 13:30:48 +03:00
# via fpdf2
feat(anthropic): add llm (#3146) This commit adds the langchain_openai and langchain_anthropic dependencies to the `llm_endpoint.py` file. # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-04 16:24:21 +03:00
# via langchain-anthropic
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via nbconvert
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via python-doctr
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
deprecated==1.2.14
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index-core
# via llama-index-legacy
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via opentelemetry-api
# via opentelemetry-exporter-otlp-proto-grpc
# via opentelemetry-exporter-otlp-proto-http
# via opentelemetry-semantic-conventions
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pikepdf
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
deprecation==2.1.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via postgrest
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
diff-match-patch==20230430
# via quivr-diff-assistant
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
dirtyjson==1.0.8
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index-core
# via llama-index-legacy
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
distlib==0.3.8
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via virtualenv
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
distro==1.9.0
feat(anthropic): add llm (#3146) This commit adds the langchain_openai and langchain_anthropic dependencies to the `llm_endpoint.py` file. # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-04 16:24:21 +03:00
# via anthropic
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via openai
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
docx2txt==0.8
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-core
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
dropbox==12.0.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
ecdsa==0.19.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via python-jose
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
effdet==0.4.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
emoji==2.12.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
et-xmlfile==1.1.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via openpyxl
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
execnet==2.1.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pytest-xdist
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
executing==2.0.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via stack-data
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
faiss-cpu==1.8.0.post1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-core
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
fastapi==0.110.3
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
# via sentry-sdk
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
fastavro==1.9.5
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via cohere
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
fastjsonschema==2.20.0
# via nbformat
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
filelock==3.15.4
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via huggingface-hub
# via torch
# via tox
# via transformers
# via virtualenv
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
filetype==1.2.0
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
fire==0.6.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pdf2docx
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
flake8==7.1.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via flake8-black
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
flake8-black==0.3.6
flatbuffers==24.3.25
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via onnxruntime
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
flower==2.0.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-worker
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
fonttools==4.53.1
feat(assistants): mock api (#3195) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-18 13:30:48 +03:00
# via fpdf2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via matplotlib
# via pdf2docx
feat(assistants): mock api (#3195) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-18 13:30:48 +03:00
fpdf2==2.7.9
# via quivr-worker
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
frozenlist==1.4.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via aiohttp
# via aiosignal
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
fsspec==2024.2.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via huggingface-hub
# via llama-index-core
# via llama-index-legacy
# via torch
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
ghp-import==2.1.0
# via mkdocs
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
google-api-core==2.19.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-api-python-client
# via google-cloud-vision
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
google-api-python-client==2.142.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
google-auth==2.34.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-api-core
# via google-api-python-client
# via google-auth-httplib2
# via google-auth-oauthlib
# via google-cloud-vision
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
google-auth-httplib2==0.2.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-api-python-client
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
google-auth-oauthlib==1.2.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
google-cloud-vision==3.7.4
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
googleapis-common-protos==1.63.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-api-core
# via grpcio-status
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via opentelemetry-exporter-otlp-proto-grpc
# via opentelemetry-exporter-otlp-proto-http
gotrue==2.7.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via supabase
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
greenlet==3.0.3
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via playwright
# via sqlalchemy
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
griffe==1.2.0
# via mkdocstrings-python
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
grpcio==1.65.5
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-api-core
# via grpcio-status
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via opentelemetry-exporter-otlp-proto-grpc
grpcio-status==1.62.3
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-api-core
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
h11==0.14.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via httpcore
# via uvicorn
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via wsproto
h2==4.1.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via httpx
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
h5py==3.10.0
# via python-doctr
# via quivr-diff-assistant
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
hpack==4.0.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via h2
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
httpcore==1.0.5
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via httpx
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
httplib2==0.22.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-api-python-client
# via google-auth-httplib2
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
httpx==0.27.0
feat(anthropic): add llm (#3146) This commit adds the langchain_openai and langchain_anthropic dependencies to the `llm_endpoint.py` file. # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-04 16:24:21 +03:00
# via anthropic
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via cohere
# via gotrue
# via langsmith
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via literalai
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-cloud
# via llama-index-core
# via llama-index-legacy
# via notion-client
# via openai
# via postgrest
# via quivr-core
# via storage3
# via supabase
# via supafunc
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
httpx-sse==0.4.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via cohere
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
huggingface-hub==0.24.6
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via python-doctr
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via timm
# via tokenizers
# via transformers
# via unstructured-inference
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
humanfriendly==10.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via coloredlogs
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
humanize==4.10.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via flower
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
hyperframe==6.0.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via h2
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
identify==2.6.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pre-commit
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
idna==3.4
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via anyio
# via httpx
# via requests
# via unstructured-client
# via yarl
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
importlib-metadata==8.4.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via litellm
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via opentelemetry-api
iniconfig==2.0.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pytest
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
iopath==0.1.10
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via layoutparser
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
ipykernel==6.29.5
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via mkdocs-jupyter
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
ipython==8.26.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipykernel
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
jedi==0.19.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipython
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
jinja2==3.1.3
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via litellm
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via mkdocs
# via mkdocs-material
# via mkdocstrings
# via nbconvert
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via torch
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
jiter==0.5.0
feat(anthropic): add llm (#3146) This commit adds the langchain_openai and langchain_anthropic dependencies to the `llm_endpoint.py` file. # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-04 16:24:21 +03:00
# via anthropic
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via openai
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
jmespath==1.0.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via boto3
# via botocore
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
joblib==1.4.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via nltk
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via scikit-learn
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
jsonpatch==1.33
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain-core
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
jsonpath-python==1.0.6
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
jsonpointer==3.0.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via jsonpatch
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
jsonschema==4.23.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via litellm
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via nbformat
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
jsonschema-specifications==2023.12.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via jsonschema
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
jupyter-client==8.6.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipykernel
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via nbclient
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
jupyter-core==5.7.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipykernel
# via jupyter-client
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via nbclient
# via nbconvert
# via nbformat
jupyterlab-pygments==0.3.0
# via nbconvert
jupytext==1.16.4
# via mkdocs-jupyter
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
kiwisolver==1.4.5
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via matplotlib
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
kombu==5.4.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via celery
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
langchain==0.2.16
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain-community
# via megaparse
# via quivr-api
# via quivr-core
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
feat(anthropic): add llm (#3146) This commit adds the langchain_openai and langchain_anthropic dependencies to the `llm_endpoint.py` file. # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-04 16:24:21 +03:00
langchain-anthropic==0.1.23
# via quivr-core
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
langchain-cohere==0.2.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
langchain-community==0.2.12
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain-experimental
# via megaparse
# via quivr-api
# via quivr-core
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
langchain-core==0.2.41
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain
feat(anthropic): add llm (#3146) This commit adds the langchain_openai and langchain_anthropic dependencies to the `llm_endpoint.py` file. # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-04 16:24:21 +03:00
# via langchain-anthropic
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain-cohere
# via langchain-community
# via langchain-experimental
# via langchain-openai
# via langchain-text-splitters
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via langgraph
# via langgraph-checkpoint
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via megaparse
# via quivr-core
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
langchain-experimental==0.0.64
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain-cohere
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
langchain-openai==0.1.25
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via megaparse
# via quivr-api
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
langchain-text-splitters==0.2.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
langdetect==1.0.9
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via python-doctr
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
langgraph==0.2.14
# via quivr-core
langgraph-checkpoint==1.0.6
# via langgraph
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
langsmith==0.1.126
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain
# via langchain-community
# via langchain-core
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
layoutparser==0.3.4
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured-inference
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
lazify==0.4.0
# via chainlit
litellm==1.43.19
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
literalai==0.0.607
# via chainlit
llama-cloud==0.0.13
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index-indices-managed-llama-cloud
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
llama-index==0.11.12
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via megaparse
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
llama-index-agent-openai==0.3.4
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index
# via llama-index-program-openai
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
llama-index-cli==0.3.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
llama-index-core==0.11.12
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index
# via llama-index-agent-openai
# via llama-index-cli
# via llama-index-embeddings-openai
# via llama-index-indices-managed-llama-cloud
# via llama-index-llms-openai
# via llama-index-multi-modal-llms-openai
# via llama-index-program-openai
# via llama-index-question-gen-openai
# via llama-index-readers-file
# via llama-index-readers-llama-parse
# via llama-parse
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
llama-index-embeddings-openai==0.2.5
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index
# via llama-index-cli
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
llama-index-indices-managed-llama-cloud==0.3.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
llama-index-legacy==0.9.48.post3
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
llama-index-llms-openai==0.2.9
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index
# via llama-index-agent-openai
# via llama-index-cli
# via llama-index-multi-modal-llms-openai
# via llama-index-program-openai
# via llama-index-question-gen-openai
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
llama-index-multi-modal-llms-openai==0.2.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
llama-index-program-openai==0.2.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index
# via llama-index-question-gen-openai
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
llama-index-question-gen-openai==0.2.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
llama-index-readers-file==0.2.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
llama-index-readers-llama-parse==0.3.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
llama-parse==0.5.6
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index-readers-llama-parse
# via megaparse
# via quivr-api
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
llvmlite==0.43.0
# via numba
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
lxml==5.3.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pikepdf
# via python-docx
# via python-pptx
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
mammoth==1.8.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via megaparse
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
markdown==3.7
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via mkdocs
# via mkdocs-autorefs
# via mkdocs-material
# via mkdocstrings
# via pymdown-extensions
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
markdown-it-py==3.0.0
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via jupytext
# via mdit-py-plugins
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via rich
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
markdownify==0.13.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
markupsafe==2.1.5
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via jinja2
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via mkdocs
# via mkdocs-autorefs
# via mkdocstrings
# via nbconvert
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
marshmallow==3.22.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via dataclasses-json
# via marshmallow-enum
# via unstructured-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
marshmallow-enum==1.5.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
matplotlib==3.9.2
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via mplcursors
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pycocotools
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured-inference
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
matplotlib-inline==0.1.7
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipykernel
# via ipython
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
mccabe==0.7.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via flake8
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
mdit-py-plugins==0.4.1
# via jupytext
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
mdurl==0.1.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via markdown-it-py
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
mergedeep==1.3.4
# via mkdocs
# via mkdocs-get-deps
mistune==3.0.2
# via nbconvert
mkdocs==1.6.1
# via mkdocs-autorefs
# via mkdocs-include-dir-to-nav
# via mkdocs-jupyter
# via mkdocs-material
# via mkdocs-redirects
# via mkdocstrings
mkdocs-autorefs==1.2.0
# via mkdocstrings
# via mkdocstrings-python
mkdocs-get-deps==0.2.0
# via mkdocs
mkdocs-include-dir-to-nav==1.2.0
mkdocs-jupyter==0.25.0
mkdocs-material==9.5.34
# via mkdocs-jupyter
mkdocs-material-extensions==1.3.1
# via mkdocs-material
mkdocs-redirects==1.2.1
mkdocstrings==0.26.1
# via mkdocstrings-python
mkdocstrings-python==1.11.1
# via mkdocstrings
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
monotonic==1.6
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via posthog
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
mplcursors==0.5.3
# via quivr-diff-assistant
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
mpmath==1.3.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via sympy
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
msal==1.30.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
multidict==6.0.5
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via aiohttp
# via yarl
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
mypy==1.11.1
mypy-extensions==1.0.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via black
# via mypy
# via typing-inspect
# via unstructured-client
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
nbclient==0.10.0
# via nbconvert
nbconvert==7.16.4
# via mkdocs-jupyter
nbformat==5.10.4
# via jupytext
# via nbclient
# via nbconvert
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
nest-asyncio==1.6.0
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipykernel
# via llama-index-core
# via llama-index-legacy
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
networkx==3.2.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index-core
# via llama-index-legacy
# via torch
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
nltk==3.9.1
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via llama-index
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index-core
# via llama-index-legacy
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
nodeenv==1.9.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pre-commit
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
notion-client==2.2.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
numba==0.60.0
# via quivr-diff-assistant
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
numpy==1.26.3
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via contourpy
# via faiss-cpu
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via h5py
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain
# via langchain-community
# via layoutparser
# via llama-index-core
# via llama-index-legacy
# via matplotlib
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via numba
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via onnx
# via onnxruntime
# via opencv-python
# via opencv-python-headless
# via pandas
# via pdf2docx
# via pgvector
# via pycocotools
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via python-doctr
# via quivr-diff-assistant
# via scikit-learn
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via scipy
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via shapely
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via torchvision
# via transformers
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
oauthlib==3.2.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via requests-oauthlib
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
olefile==0.47
# via python-oxmsg
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
omegaconf==2.3.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via effdet
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
onnx==1.16.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
# via unstructured-inference
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
onnxruntime==1.19.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured-inference
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
openai==1.47.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain-openai
# via litellm
# via llama-index-agent-openai
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via llama-index-embeddings-openai
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index-legacy
# via llama-index-llms-openai
# via quivr-api
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-worker
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
opencv-python==4.10.0.84
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via layoutparser
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via python-doctr
# via quivr-diff-assistant
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured-inference
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
opencv-python-headless==4.10.0.84
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pdf2docx
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
openpyxl==3.1.5
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
opentelemetry-api==1.27.0
# via opentelemetry-exporter-otlp-proto-grpc
# via opentelemetry-exporter-otlp-proto-http
# via opentelemetry-instrumentation
# via opentelemetry-sdk
# via opentelemetry-semantic-conventions
# via uptrace
opentelemetry-exporter-otlp==1.27.0
# via uptrace
opentelemetry-exporter-otlp-proto-common==1.27.0
# via opentelemetry-exporter-otlp-proto-grpc
# via opentelemetry-exporter-otlp-proto-http
opentelemetry-exporter-otlp-proto-grpc==1.27.0
# via opentelemetry-exporter-otlp
opentelemetry-exporter-otlp-proto-http==1.27.0
# via opentelemetry-exporter-otlp
opentelemetry-instrumentation==0.48b0
# via uptrace
opentelemetry-proto==1.27.0
# via opentelemetry-exporter-otlp-proto-common
# via opentelemetry-exporter-otlp-proto-grpc
# via opentelemetry-exporter-otlp-proto-http
opentelemetry-sdk==1.27.0
# via opentelemetry-exporter-otlp-proto-grpc
# via opentelemetry-exporter-otlp-proto-http
# via uptrace
opentelemetry-semantic-conventions==0.48b0
# via opentelemetry-sdk
orjson==3.10.7
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langsmith
feat: structlog parseable (#3319) # Description - bettter logging --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-10-04 12:34:58 +03:00
# via quivr-monorepo
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
packaging==23.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via black
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via deprecation
# via faiss-cpu
# via huggingface-hub
# via ipykernel
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via jupytext
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain-core
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via literalai
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via marshmallow
# via matplotlib
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via mkdocs
# via nbconvert
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via onnxruntime
# via pikepdf
# via pyproject-api
# via pytest
# via quivr-monorepo
# via tox
# via transformers
# via unstructured-client
# via unstructured-pytesseract
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
paginate==0.5.7
# via mkdocs-material
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pandas==2.2.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain-cohere
# via layoutparser
# via llama-index-legacy
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via llama-index-readers-file
# via quivr-diff-assistant
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
pandocfilters==1.5.1
# via nbconvert
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
parameterized==0.9.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via cohere
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
parso==0.8.4
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via jedi
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pathspec==0.12.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via black
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via mkdocs
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pdf2docx==0.5.8
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via megaparse
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pdf2image==1.17.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via layoutparser
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pdfminer-six==20231228
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pdfplumber
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pdfplumber==0.11.4
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via layoutparser
# via megaparse
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pexpect==4.9.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipython
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pgvector==0.3.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
pi-heif==0.18.0
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pikepdf==9.1.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pillow==10.2.0
feat(assistants): mock api (#3195) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-18 13:30:48 +03:00
# via fpdf2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via layoutparser
# via llama-index-core
# via matplotlib
# via pdf2image
# via pdfplumber
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via pi-heif
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pikepdf
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via python-doctr
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via python-pptx
# via torchvision
# via unstructured-pytesseract
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
platformdirs==4.2.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via black
# via jupyter-core
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via mkdocs-get-deps
# via mkdocstrings
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via tox
# via virtualenv
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
playwright==1.46.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-worker
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pluggy==1.5.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pytest
# via tox
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
ply==3.11
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via stone
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
portalocker==2.10.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via iopath
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
postgrest==0.16.10
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via supabase
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
posthog==3.5.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pre-commit==3.8.0
prometheus-client==0.20.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via flower
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
prompt-toolkit==3.0.47
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via click-repl
# via ipython
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
proto-plus==1.24.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-api-core
# via google-cloud-vision
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
protobuf==4.25.4
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-api-core
# via google-cloud-vision
# via googleapis-common-protos
# via grpcio-status
# via onnx
# via onnxruntime
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via opentelemetry-proto
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via proto-plus
feat: introducing configurable retrieval workflows (#3227) # Description Major PR which, among other things, introduces the possibility of easily customizing the retrieval workflows. Workflows are based on LangGraph, and can be customized using a [yaml configuration file](core/tests/test_llm_endpoint.py), and adding the implementation of the nodes logic into [quivr_rag_langgraph.py](https://github.com/QuivrHQ/quivr/blob/1a0c98437a357e7bbc8039f3fd49912052a1640b/backend/core/quivr_core/quivr_rag_langgraph.py) This is a first, simple implementation that will significantly evolve in the coming weeks to enable more complex workflows (for instance, with conditional nodes). We also plan to adopt a similar approach for the ingestion part, i.e. to enable user to easily customize the ingestion pipeline. Closes CORE-195, CORE-203, CORE-204 ## Checklist before requesting a review Please delete options that are not relevant. - [X] My code follows the style guidelines of this project - [X] I have performed a self-review of my code - [X] I have commented hard-to-understand areas - [X] I have ideally added tests that prove my fix is effective or that my feature works - [X] New and existing unit tests pass locally with my changes - [X] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-23 19:11:06 +03:00
# via transformers
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
psutil==6.0.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipykernel
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
psycopg2-binary==2.9.9
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
ptyprocess==0.7.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pexpect
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pure-eval==0.2.3
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via stack-data
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
py-cpuinfo==9.0.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pytest-benchmark
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pyasn1==0.6.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pyasn1-modules
# via python-jose
# via rsa
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pyasn1-modules==0.4.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-auth
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
pyclipper==1.3.0.post5
# via python-doctr
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pycocotools==2.0.8
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via effdet
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pycodestyle==2.12.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via flake8
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pycparser==2.22 ; platform_python_implementation != 'PyPy' or implementation_name == 'pypy'
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via cffi
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pycryptodome==3.20.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via megaparse
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pydantic==2.8.2
feat(anthropic): add llm (#3146) This commit adds the langchain_openai and langchain_anthropic dependencies to the `llm_endpoint.py` file. # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-04 16:24:21 +03:00
# via anthropic
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via cohere
# via fastapi
# via gotrue
# via langchain
# via langchain-core
# via langsmith
# via litellm
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via literalai
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-cloud
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via llama-index-core
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via openai
# via postgrest
# via pydantic-settings
# via quivr-core
# via sqlmodel
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pydantic-core==2.20.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via cohere
# via pydantic
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pydantic-settings==2.4.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pyee==11.1.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via playwright
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pyflakes==3.2.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via flake8
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pygments==2.18.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipython
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via mkdocs-jupyter
# via mkdocs-material
# via nbconvert
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via rich
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pyinstrument==4.7.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pyjwt==2.9.0
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via msal
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
pymdown-extensions==10.9
# via mkdocs-material
# via mkdocstrings
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pymupdf==1.24.9
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pdf2docx
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pymupdfb==1.24.9
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pymupdf
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pypandoc==1.13
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pyparsing==3.1.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via httplib2
# via matplotlib
# via unstructured-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pypdf==4.3.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index-readers-file
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pypdfium2==4.30.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pdfplumber
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via python-doctr
# via quivr-diff-assistant
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pyproject-api==1.6.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via tox
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pyreadline3==3.4.1 ; sys_platform == 'win32'
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via humanfriendly
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pytest==8.3.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pytest-asyncio
# via pytest-benchmark
# via pytest-cov
# via pytest-dotenv
# via pytest-mock
# via pytest-xdist
fix: tests pytest-asyncio (#3157) # Description FIX TESTS !
2024-09-05 17:39:27 +03:00
pytest-asyncio==0.24.0
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pytest-benchmark==4.0.0
pytest-cov==5.0.0
pytest-dotenv==0.5.2
pytest-mock==3.14.0
pytest-xdist==3.6.1
python-dateutil==2.9.0.post0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via botocore
# via celery
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via ghp-import
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via jupyter-client
# via matplotlib
# via pandas
# via posthog
# via realtime
# via storage3
# via unstructured-client
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
python-doctr==0.9.0
# via quivr-diff-assistant
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
python-docx==1.1.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via megaparse
# via pdf2docx
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
python-dotenv==1.0.1
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via litellm
# via megaparse
# via pydantic-settings
# via pytest-dotenv
# via quivr-api
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-worker
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
python-engineio==4.9.1
# via python-socketio
python-iso639==2024.4.27
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
python-jose==3.3.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: structlog parseable (#3319) # Description - bettter logging --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-10-04 12:34:58 +03:00
python-json-logger==2.0.7
# via quivr-monorepo
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
python-magic==0.4.27
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
python-multipart==0.0.9
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
# via unstructured-inference
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
python-oxmsg==0.0.1
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
python-pptx==1.0.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via megaparse
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
python-socketio==5.11.3
# via chainlit
pytz==2024.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via flower
# via pandas
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pywin32==306 ; (platform_python_implementation != 'PyPy' and sys_platform == 'win32') or platform_system == 'Windows'
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via jupyter-core
# via portalocker
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pyyaml==6.0.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via huggingface-hub
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via jupytext
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain
# via langchain-community
# via langchain-core
# via layoutparser
# via llama-index-core
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via mkdocs
# via mkdocs-get-deps
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via omegaconf
# via pre-commit
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via pymdown-extensions
# via pyyaml-env-tag
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via timm
# via transformers
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
pyyaml-env-tag==0.1
# via mkdocs
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
pyzmq==26.1.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipykernel
# via jupyter-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
rapidfuzz==3.9.6
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via python-doctr
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
# via unstructured-inference
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
realtime==2.0.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via supabase
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
redis==5.0.8
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via celery
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
referencing==0.35.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via jsonschema
# via jsonschema-specifications
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
regex==2024.7.24
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via mkdocs-material
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via nltk
# via tiktoken
# via transformers
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
requests==2.32.3
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via cohere
# via dropbox
# via google-api-core
# via huggingface-hub
# via langchain
# via langchain-community
# via langsmith
# via litellm
# via llama-index-core
# via llama-index-legacy
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via mkdocs-material
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via msal
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via opentelemetry-exporter-otlp-proto-http
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via posthog
# via requests-oauthlib
# via resend
# via tiktoken
# via transformers
# via unstructured
# via unstructured-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
requests-oauthlib==2.0.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-auth-oauthlib
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
resend==2.4.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
rich==13.7.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-core
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
rpds-py==0.20.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via jsonschema
# via referencing
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
rsa==4.9
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-auth
# via python-jose
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
ruff==0.6.1
s3transfer==0.10.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via boto3
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
safetensors==0.4.4
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via timm
# via transformers
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
scikit-learn==1.5.2
# via quivr-diff-assistant
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
scipy==1.14.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via layoutparser
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via python-doctr
# via scikit-learn
feat: introducing configurable retrieval workflows (#3227) # Description Major PR which, among other things, introduces the possibility of easily customizing the retrieval workflows. Workflows are based on LangGraph, and can be customized using a [yaml configuration file](core/tests/test_llm_endpoint.py), and adding the implementation of the nodes logic into [quivr_rag_langgraph.py](https://github.com/QuivrHQ/quivr/blob/1a0c98437a357e7bbc8039f3fd49912052a1640b/backend/core/quivr_core/quivr_rag_langgraph.py) This is a first, simple implementation that will significantly evolve in the coming weeks to enable more complex workflows (for instance, with conditional nodes). We also plan to adopt a similar approach for the ingestion part, i.e. to enable user to easily customize the ingestion pipeline. Closes CORE-195, CORE-203, CORE-204 ## Checklist before requesting a review Please delete options that are not relevant. - [X] My code follows the style guidelines of this project - [X] I have performed a self-review of my code - [X] I have commented hard-to-understand areas - [X] I have ideally added tests that prove my fix is effective or that my feature works - [X] New and existing unit tests pass locally with my changes - [X] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-23 19:11:06 +03:00
sentencepiece==0.2.0
# via transformers
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
sentry-sdk==2.13.0
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
setuptools==70.0.0
# via opentelemetry-instrumentation
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
shapely==2.0.6
# via python-doctr
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
simple-websocket==1.0.0
# via python-engineio
six==1.16.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via asttokens
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via bleach
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via dropbox
# via ecdsa
# via fire
# via langdetect
# via markdownify
# via posthog
# via python-dateutil
# via stone
# via unstructured-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
sniffio==1.3.1
feat(anthropic): add llm (#3146) This commit adds the langchain_openai and langchain_anthropic dependencies to the `llm_endpoint.py` file. # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-04 16:24:21 +03:00
# via anthropic
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via anyio
# via httpx
# via openai
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
soupsieve==2.6
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via beautifulsoup4
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
sqlalchemy==2.0.32
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain
# via langchain-community
# via llama-index-core
# via llama-index-legacy
# via sqlmodel
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
sqlmodel==0.0.21
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
stack-data==0.6.3
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via ipython
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
starlette==0.37.2
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via fastapi
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
stone==3.3.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via dropbox
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
storage3==0.7.7
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via supabase
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
strenum==0.4.15
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via postgrest
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
striprtf==0.0.26
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via llama-index-readers-file
feat: structlog parseable (#3319) # Description - bettter logging --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-10-04 12:34:58 +03:00
structlog==24.4.0
# via quivr-monorepo
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
supabase==2.7.2
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
supafunc==0.5.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via supabase
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
sympy==1.12
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via onnxruntime
# via torch
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
syncer==2.0.3
# via chainlit
tabulate==0.9.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain-cohere
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
tenacity==8.5.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain
# via langchain-community
# via langchain-core
# via llama-index-core
# via llama-index-legacy
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
termcolor==2.4.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via fire
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
threadpoolctl==3.5.0
# via scikit-learn
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
tiktoken==0.7.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via langchain-openai
# via litellm
# via llama-index-core
# via llama-index-legacy
# via quivr-api
# via quivr-core
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
timm==1.0.8
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via effdet
# via unstructured-inference
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
tinycss2==1.3.0
# via nbconvert
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
tokenizers==0.19.1
feat(anthropic): add llm (#3146) This commit adds the langchain_openai and langchain_anthropic dependencies to the `llm_endpoint.py` file. # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-04 16:24:21 +03:00
# via anthropic
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via cohere
# via litellm
# via transformers
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
tomli==2.0.1
# via chainlit
torch==2.4.0 ; platform_machine != 'x86_64'
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via effdet
# via quivr-worker
# via timm
# via torchvision
# via unstructured-inference
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
torch==2.4.0+cpu ; platform_machine == 'x86_64'
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via effdet
# via quivr-worker
# via timm
# via torchvision
# via unstructured-inference
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
torchvision==0.19.0 ; platform_machine != 'x86_64'
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via effdet
# via quivr-worker
# via timm
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
torchvision==0.19.0+cpu ; platform_machine == 'x86_64'
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via effdet
# via quivr-worker
# via timm
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
tornado==6.4.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via flower
# via ipykernel
# via jupyter-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
tox==4.15.1
tqdm==4.66.5
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via huggingface-hub
# via iopath
# via llama-index-core
# via nltk
# via openai
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via python-doctr
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via transformers
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
traitlets==5.14.3
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via comm
# via ipykernel
# via ipython
# via jupyter-client
# via jupyter-core
# via matplotlib-inline
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
# via nbclient
# via nbconvert
# via nbformat
feat: introducing configurable retrieval workflows (#3227) # Description Major PR which, among other things, introduces the possibility of easily customizing the retrieval workflows. Workflows are based on LangGraph, and can be customized using a [yaml configuration file](core/tests/test_llm_endpoint.py), and adding the implementation of the nodes logic into [quivr_rag_langgraph.py](https://github.com/QuivrHQ/quivr/blob/1a0c98437a357e7bbc8039f3fd49912052a1640b/backend/core/quivr_core/quivr_rag_langgraph.py) This is a first, simple implementation that will significantly evolve in the coming weeks to enable more complex workflows (for instance, with conditional nodes). We also plan to adopt a similar approach for the ingestion part, i.e. to enable user to easily customize the ingestion pipeline. Closes CORE-195, CORE-203, CORE-204 ## Checklist before requesting a review Please delete options that are not relevant. - [X] My code follows the style guidelines of this project - [X] I have performed a self-review of my code - [X] I have commented hard-to-understand areas - [X] I have ideally added tests that prove my fix is effective or that my feature works - [X] New and existing unit tests pass locally with my changes - [X] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-23 19:11:06 +03:00
transformers==4.44.2
# via quivr-core
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured-inference
feat: introducing configurable retrieval workflows (#3227) # Description Major PR which, among other things, introduces the possibility of easily customizing the retrieval workflows. Workflows are based on LangGraph, and can be customized using a [yaml configuration file](core/tests/test_llm_endpoint.py), and adding the implementation of the nodes logic into [quivr_rag_langgraph.py](https://github.com/QuivrHQ/quivr/blob/1a0c98437a357e7bbc8039f3fd49912052a1640b/backend/core/quivr_core/quivr_rag_langgraph.py) This is a first, simple implementation that will significantly evolve in the coming weeks to enable more complex workflows (for instance, with conditional nodes). We also plan to adopt a similar approach for the ingestion part, i.e. to enable user to easily customize the ingestion pipeline. Closes CORE-195, CORE-203, CORE-204 ## Checklist before requesting a review Please delete options that are not relevant. - [X] My code follows the style guidelines of this project - [X] I have performed a self-review of my code - [X] I have commented hard-to-understand areas - [X] I have ideally added tests that prove my fix is effective or that my feature works - [X] New and existing unit tests pass locally with my changes - [X] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-23 19:11:06 +03:00
types-pyyaml==6.0.12.20240808
# via quivr-core
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
types-requests==2.31.0.6
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via cohere
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
types-urllib3==1.26.25.14
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via types-requests
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
typing-extensions==4.12.2
feat(anthropic): add llm (#3146) This commit adds the langchain_openai and langchain_anthropic dependencies to the `llm_endpoint.py` file. # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-04 16:24:21 +03:00
# via anthropic
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via cohere
# via emoji
# via fastapi
# via huggingface-hub
# via iopath
# via ipython
# via langchain-core
# via llama-index-core
# via llama-index-legacy
# via mypy
# via openai
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via opentelemetry-sdk
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pydantic
# via pydantic-core
# via pyee
# via python-docx
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via python-oxmsg
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via python-pptx
# via realtime
# via resend
# via sqlalchemy
# via storage3
# via torch
# via typing-inspect
# via unstructured
# via unstructured-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
typing-inspect==0.9.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via dataclasses-json
# via llama-index-core
# via llama-index-legacy
# via unstructured-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
tzdata==2024.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via celery
# via pandas
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
unidecode==1.3.8
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
unstructured==0.15.13
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via megaparse
# via quivr-core
feat(assistant): cdp (#3305) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-10-03 16:46:59 +03:00
# via quivr-diff-assistant
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
unstructured-client==0.6.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
unstructured-inference==0.7.36
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
unstructured-pytesseract==0.3.13
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
uptrace==1.26.0
# via chainlit
uritemplate==4.1.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via google-api-python-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
urllib3==1.26.13
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via botocore
# via requests
# via sentry-sdk
# via unstructured-client
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
uvicorn==0.25.0
# via chainlit
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
uvloop==0.20.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via quivr-api
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
vine==5.1.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via amqp
# via celery
# via kombu
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
virtualenv==20.26.3
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via pre-commit
# via tox
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
watchdog==5.0.2
# via mkdocs
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
watchfiles==0.20.0
# via chainlit
wcwidth==0.2.13
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via prompt-toolkit
chore: Add initial documentation files and configuration (#3126) # Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
2024-09-09 12:06:16 +03:00
webencodings==0.5.1
# via bleach
# via tinycss2
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
websockets==12.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via realtime
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
wrapt==1.16.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via deprecated
# via llama-index-core
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
# via opentelemetry-instrumentation
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
wsproto==1.2.0
# via simple-websocket
xlrd==2.0.1
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via unstructured
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
xlsxwriter==3.2.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via python-pptx
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
yarl==1.9.4
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via aiohttp
feat: using langgraph in our RAG pipeline (#3130) # Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
2024-09-03 16:23:23 +03:00
zipp==3.20.0
feat: quivr core 0.1 (#2970) # Description # Testing backend ## Docker setup 1. Copy `.env.example` to `.env`. Some env variables were added : EMBEDDING_DIM 2. Apply supabase migratrions : ```sh supabase stop supabase db reset supabase start ``` 3. Start backend containers ``` make dev ``` ## Local setup You can also run backend without docker. 1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose the managed python version and set the version to 3.11 2. Run the following: ``` cd quivr/backend rye sync ``` 3. Source `.venv` virtual env : `source .venv/bin/activate` 4. Run the backend, make sure you are running redis and supabase API: ``` LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1 ``` Worker: ``` LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1 ``` Notifier: ``` LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py ``` --------- Co-authored-by: chloedia <chloedaems0@gmail.com> Co-authored-by: aminediro <aminedirhoussi1@gmail.com> Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com> Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com> Co-authored-by: Zewed <dewez.antoine2@gmail.com>
2024-09-02 11:20:53 +03:00
# via importlib-metadata
Reference in New Issue Copy Permalink