# Description
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also include relevant motivation and context.
## Checklist before requesting a review
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## Screenshots (if appropriate):
# Description
- Add set session idle conn
- Remove brain vectore in knowledge routees ( knowledge cascades to
vectors now), should speed up th
- Add session rollback/commit to worker
TODO: Should refactor session in worker . The design async+ celery is
starting to be really bad
# Description
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## Screenshots (if appropriate):
The commit fixes an issue in the `oauth2callback_azure` function where the check for a valid user was incorrect. It now correctly compares the `user_id` from the `sync_user_state` object with the `current_user` value.
# Description
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## Screenshots (if appropriate):
This commit adds the langchain_openai and langchain_anthropic
dependencies to the `llm_endpoint.py` file.
# Description
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## Screenshots (if appropriate):
# Description
- Same knowledge in multiple brains
- Delete knowledge works but removing the brain/knowledge association if
knowledge in multiple brains or remove knowledge if only one brain
exists
- Fix bugs in knowledge service
**NOTE:**
- There is a risk of race condition but this shouldn't occur that often
- Sync updates could have side effects on sync knowledge that are
updated and are in multiple brains ...
---------
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
# Description
Using LangGraph instead of LangChain LCEL to build and run the RAG
pipeline, as LangGraph enables greater flexibility and an easier
maintainability of complex (agentic) pipelines
Completes CORE-175
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## Screenshots (if appropriate):
---------
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
# Description
# Testing backend
## Docker setup
1. Copy `.env.example` to `.env`. Some env variables were added :
EMBEDDING_DIM
2. Apply supabase migratrions :
```sh
supabase stop
supabase db reset
supabase start
```
3. Start backend containers
```
make dev
```
## Local setup
You can also run backend without docker.
1. Install [`rye`](https://rye.astral.sh/guide/installation/). Choose
the managed python version and set the version to 3.11
2. Run the following:
```
cd quivr/backend
rye sync
```
3. Source `.venv` virtual env : `source .venv/bin/activate`
4. Run the backend, make sure you are running redis and supabase
API:
```
LOG_LEVEL=debug uvicorn quivr_api.main:app --log-level debug --reload --host 0.0.0.0 --port 5050 --workers 1
```
Worker:
```
LOG_LEVEL=debug celery -A quivr_worker.celery_worker worker -l info -E --concurrency 1
```
Notifier:
```
LOG_LEVEL=debug python worker/quivr_worker/celery_monitor.py
```
---------
Co-authored-by: chloedia <chloedaems0@gmail.com>
Co-authored-by: aminediro <aminedirhoussi1@gmail.com>
Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
Co-authored-by: Chloé Daems <73901882+chloedia@users.noreply.github.com>
Co-authored-by: Zewed <dewez.antoine2@gmail.com>
The `send_email` function in `send_email.py` has been updated to
conditionally login with SMTP credentials. This change allows for more
flexibility in handling SMTP authentication.
# Description
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## Screenshots (if appropriate):
# Description
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## Screenshots (if appropriate):
---------
Co-authored-by: Stan Girard <stan@quivr.app>
# Description
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## Screenshots (if appropriate):
- Fixed bug of try/except rollback- > Sqlalchemy catching exceptions
without raising
- Commit on each success
- Idle transaction in commit state but are resolved by db
# Description
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## Screenshots (if appropriate):
---------
Co-authored-by: AmineDiro <aminedirhoussi1@gmail.com>
The code changes in `sync_routes.py` add the GitHub sync functionality
to the sync router. This allows users to sync their GitHub repositories
with Quivr.
# Description
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---------
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
# Description
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# Description
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# Description
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my feature works
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## Screenshots (if appropriate):
Remove unused code related to onboarding functionality. This includes
removing the `OnboardingUpdatableProperties` class and the
`OnboardingStates` class. These classes are no longer used in the
codebase and can be safely deleted.
# Description
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also include relevant motivation and context.
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my feature works
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## Screenshots (if appropriate):
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
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my feature works
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## Screenshots (if appropriate):
# Description
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my feature works
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## Screenshots (if appropriate):
The Sources class in `chats.py` now includes optional fields for
integration and integration link. This allows for better tracking and
integration of external sources in the chat module.
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
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## Screenshots (if appropriate):
# Description
- Moved `quivr-api` parser to `quivr_core.processor.implementations` by
Dynamically creating classes on the fly that inherit from
`ProcessorBase`
- Defined a priority based based system to automagically register the
"important" processor that we can import at runtime
- Wrote extensive tests for the registry
- Added support file extensions
### Next steps
- Find a way to have correct LSP autocomplete on the dynamically
generated processors
- Test that processor are imported correctly based on the installed
packages in environment ( using tox) ?
# Description
- Created registry processor logic for automagically adding processors
to quivr_core based Entrypoints
- Added a langchain_community free `SimpleTxtParser` for the quivr_core
base package
- Added tests
- Added brain_info
- Enriched parsed documents metadata based on quivr_file metadata
used Rich for `Brain.print_info()` to get a better output:
![image](https://github.com/user-attachments/assets/dd9f2f03-d7d7-4be0-ba6c-3fe38e11c40f)
This pull request adds functionality to sync files with DropBox. It
includes the following changes:
- Created a BaseSync class with all specific function for each clouds
- Created a SyncUtils class that takes in a BaseSync and apply the pipe
- fix the refresh method for DropBox
Please review and merge this pull request to enable DropBox sync
functionality in the application.
---------
Co-authored-by: Stan Girard <stan@quivr.app>
Co-authored-by: Amine Dirhoussi <aminediro@quivr.app>
# Description
## Checklist before requesting a review
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my feature works
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## Screenshots (if appropriate):
---------
Co-authored-by: Stan Girard <stan@quivr.app>
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
The code changes in `sync_routes.py` update the category for the sync
notification from "sync" to "generic". This change ensures that the
notification is categorized correctly.
# Description
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also include relevant motivation and context.
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my feature works
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## Screenshots (if appropriate):
Co-authored-by: Stan Girard <stan@quivr.app>
# Description
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my feature works
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## Screenshots (if appropriate):
---------
Co-authored-by: Stan Girard <stan@quivr.app>
The code changes in `sync_routes.py` update the category for the sync
notification from "sync" to "generic". This change ensures that the
notification is categorized correctly.
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
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## Screenshots (if appropriate):
Co-authored-by: Stan Girard <stan@quivr.app>
This pull request adds integration fields to the Knowledge and SyncsUser
models. The integration fields include `integration` and
`integration_link`. These fields allow for better integration with
external systems and provide additional information about the
integration.
---------
Co-authored-by: chloedia <chloedaems0@gmail.com>
Co-authored-by: Stan Girard <stan@quivr.app>
Co-authored-by: AmineDiro <aminedirhoussi1@gmail.com>
# 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.
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my feature works
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## Screenshots (if appropriate):
Co-authored-by: Stan Girard <stan@quivr.app>
The code changes in `sync_routes.py` update the category for the sync
notification from "sync" to "generic". This change ensures that the
notification is categorized correctly.
# 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.
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my feature works
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- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
Co-authored-by: Stan Girard <stan@quivr.app>
# Description
- Quivr notification service. listens to celery events and updates
knowledge status.
- Process file notification will wait for retried tasks
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
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## Screenshots (if appropriate):
---------
Co-authored-by: Stan Girard <stan@quivr.app>
The code changes in `files.py` improve the file loading logic in the
File model. The `load()` method now returns the loaded content, which is
then assigned to the `documents` variable. Additionally, the logger now
includes information about the loaded documents.
# Description
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also include relevant motivation and context.
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my feature works
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## Screenshots (if appropriate):
Co-authored-by: Stan Girard <stan@quivr.app>
# Description
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my feature works
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## Screenshots (if appropriate):
# Description
`quivr-core`
- Generate a fixture to simulate a model with function calling
- Monkey patch `QuivrQARAG` stream
- Tests function
`quivr-api`
- Fixes empty API responses
- Fixes non function calling models
---------
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
# Description
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also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
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## Screenshots (if appropriate):
This pull request adds a new field called `bulk_id` to the
`CreateNotification` and `Notification` models. The `bulk_id` field is
an optional UUID that can be used for bulk operations.
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
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## Screenshots (if appropriate):
---------
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
# Description
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also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
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- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
This pull request updates the versions of quivr-core and chainlit in the
requirements.txt file. The quivr-core version is changed from 0.0.8 to
0.0.8[base], and the chainlit version is changed from 1.1.306 to
1.1.306.
The commit adds a new Quivr chatbot example to the repository. The
example demonstrates how to create a simple chatbot using Quivr and
Chainlit. Users can upload a text file and ask questions about its
content. The commit includes the necessary files, installation
instructions, and usage guidelines.
# Description
- Defined quivr-core `ChatHistory`
- `ChatHistory` can be iterated over in tuples of
`HumanMessage,AIMessage`
- Brain appends to the chatHistory once response is received
- Brain holds a dict of chats and defines the default chat (TODO: define
a system of selecting the chats)
- Wrote test
- Updated `QuivrQARAG` to use `ChatHistory` as input
This pull request updates the pre-commit hooks in the
`.pre-commit-config.yaml` file to the latest versions. By doing so, we
ensure that our codebase benefits from the latest bug fixes and
improvements provided by the pre-commit community.
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
This commit adds a new GitHub Actions workflow file
`backend-core-tests.yml` to the repository. This workflow is triggered
on push and pull request events, specifically for changes made to the
`backend/core` directory. The workflow runs tests for the backend/core
module using a Tika server as a service. It checks the health of the
Tika server before running the tests. The workflow sets up Python,
installs dependencies using Poetry, and runs the tests using pytest.
This commit is necessary to automate the testing process for the
backend/core module and ensure that the tests are run consistently and
reliably.
Co-authored-by: aminediro <aminedirhoussi@gmail.com>
# Description
- Introduce `LLMEndpoint` class: wrapper around a `BaseChatLLM` to load
OpenAI compatible models
- Add `brain.search(...)` function to retrieve
- Test with test-coverage:
- Added ability to load brain `from langchain.Document`
- Configured mypy and poetry lock in `.pre-commit.yaml`
# Test coverage
![image](https://github.com/QuivrHQ/quivr/assets/14312141/629ede66-146e-400f-b40b-8c22a9258a47)
---------
Co-authored-by: aminediro <aminedirhoussi@gmail.com>