# 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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# Description
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# Description
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# 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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## 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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# Description
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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
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also include relevant motivation and context.
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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) ?
