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langchain/templates/rag-conversation
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Lance Martin d6acb3ed7e
Clean-up template READMEs (#12403) 
Normalize, and update notebooks.
2023-10-26 22:23:03 -07:00
..
rag_conversation Format Templates (#12396) 2023-10-26 19:44:30 -07:00
tests Templates (#12294) 2023-10-25 18:47:42 -07:00
LICENSE Templates (#12294) 2023-10-25 18:47:42 -07:00
poetry.lock Templates (#12294) 2023-10-25 18:47:42 -07:00
pyproject.toml Templates (#12294) 2023-10-25 18:47:42 -07:00
rag_conversation.ipynb Clean-up template READMEs (#12403) 2023-10-26 22:23:03 -07:00
README.md Add template for Pinecone + Multi-Query (#12353) 2023-10-26 10:12:23 -07:00

README.md

Conversational RAG

This template performs conversational retrieval, which is one of the most popular LLM use-cases.

It passes both a conversation history and retrieved documents into an LLM for synthesis.

LLM

Be sure that OPENAI_API_KEY is set in order to use the OpenAI models.

Pinecone

This template uses Pinecone as a vectorstore and requires that PINECONE_API_KEY, PINECONE_ENVIRONMENT, and PINECONE_INDEX are set.