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