langchain/templates/rag-pinecone-rerank

RAG Pinecone Cohere Re-rank

This template performs RAG using Pinecone and OpenAI, with Cohere to perform re-ranking on returned documents.

Re-ranking provides a way to rank retrieved documents using specified filters or criteria.

Pinecone

This connects to a hosted Pinecone vectorstore.

Be sure that you have set a few env variables in chain.py:

• PINECONE_API_KEY
• PINECONE_ENV
• index_name

LLM

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

Cohere

Be sure that COHERE_API_KEY is set in order to the ReRank endpoint.