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Conversational Retrieval Agent

This is an end-to-end example of a conversational retrieval agent for chatting with LangSmith documentation. For more information on conversational retrieval agents, see this documentation.

To setup: pip install -r requirements.txt

To run: streamlit run streamlit.py

This relies on:

  • OpenAI for embedding and language model
  • Streamlit for the UI
  • LangSmith for logging feedback