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langchain/templates/rag-conversation
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Lance Martin bc6f6e968e Add template for Pinecone + Multi-Query (#12353)
2023-10-26 10:12:23 -07:00
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rag_conversation
Allow index name customization via env var in rag-conversation (#12315)
2023-10-25 22:11:13 -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
Templates (#12294)
2023-10-25 18:47:42 -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.