# 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](1a0c98437a/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
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- [X] I have ideally added tests that prove my fix is effective or that
my feature works
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# 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
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---------
Co-authored-by: AmineDiro <aminedirhoussi1@gmail.com>
# Description
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## Checklist before requesting a review
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- [ ] New and existing unit tests pass locally with my changes
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# 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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- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# 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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## Screenshots (if appropriate):
moved to brains
# Description
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Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
# Description
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## Checklist before requesting a review
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backend test fixed
# Description
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# Description
- Refactor knowledge to a module
- This PR breaks the Github Processor function -> need to comment brain
and file imports as it creates a circular dependency issue. Should be
fixed and reverted in next PR.
* feat: user can create api keys
* fix: linting on build
* Update backend/routes/api_key_routes.py
* chore: rename and refactor AuthBearer
* chore: add types
This update enhances the "Second Brain" application by adding support for Anthropics AI models. Users can now use not only OpenAI's GPT-3/4, but also Anthropics' Claude models to store and query their knowledge.
Key changes include:
Added an anthropic_api_key field in the secrets configuration file. Introduced a selection for different AI models including GPT-3, GPT-4, and various versions of Claude. Updated question handling to be model-agnostic, and added support for Anthropics' Claude models in the question processing workflow. Modified the streamlit interface to allow users to input their choice of model, control the "temperature" of the model's responses, and set the max tokens limit. Upgraded requirements.txt file with the latest version of the Anthropics library. This update empowers users to leverage different AI models based on their needs, providing a more flexible and robust tool for knowledge management.
