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Co-authored-by: Bagatur <baskaryan@gmail.com> |
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rag_conversation | ||
tests | ||
LICENSE | ||
poetry.lock | ||
pyproject.toml | ||
rag_conversation.ipynb | ||
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.