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# Description Using LangGraph instead of LangChain LCEL to build and run the RAG pipeline, as LangGraph enables greater flexibility and an easier maintainability of complex (agentic) pipelines Completes CORE-175 ## Checklist before requesting a review Please delete options that are not relevant. - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my code - [x] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [x] Any dependent changes have been merged ## Screenshots (if appropriate): --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com> |
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| .. | ||
| analytics | ||
| api_key | ||
| assistant | ||
| authorization/utils | ||
| brain | ||
| chat | ||
| chat_llm_service | ||
| knowledge | ||
| misc/controller | ||
| models | ||
| notification | ||
| onboarding/controller | ||
| prompt | ||
| rag_service | ||
| sync | ||
| tools | ||
| upload | ||
| user | ||
| __init__.py | ||
| base_repository.py | ||
| base_uuid_entity.py | ||
| dependencies.py | ||