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Add LangChain Support to RAG Agent #460

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cmgzn
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@cmgzn cmgzn commented Oct 14, 2024


name: Pull Request
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Description

  1. Integration of LangChain Knowledge:
    Added the necessary components to support LangChain knowledge within the RAG agent.

  2. Dynamic Backend Selection:
    Implemented logic in the knowledge-bank to determine the backend engine (either LlamaIndex or LangChain) based on the knowledge-config imported module.

  3. Refactor of LlamaIndexAgent:
    The original LlamaIndexAgent has been renamed to RAG-Agent, allowing the same RAG agent to utilize knowledge from both backend engines seamlessly.

Checklist

Please check the following items before code is ready to be reviewed.

  • Code has passed all tests
  • Docstrings have been added/updated in Google Style
  • Documentation has been updated
  • Code is ready for review

@DavdGao
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DavdGao commented Oct 15, 2024

Thanks for your contribution, we will review this PR as soon as possible.

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2 participants