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23 lines
692 B
Markdown
23 lines
692 B
Markdown
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# RAG Pinecone Cohere Re-rank
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This template performs RAG using Pinecone and OpenAI, with [Cohere to perform re-ranking](https://python.langchain.com/docs/integrations/retrievers/cohere-reranker) on returned documents.
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[Re-ranking](https://docs.cohere.com/docs/reranking) provides a way to rank retrieved documents using specified filters or criteria.
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## Pinecone
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This connects to a hosted Pinecone vectorstore.
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Be sure that you have set a few env variables in `chain.py`:
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* `PINECONE_API_KEY`
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* `PINECONE_ENV`
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* `index_name`
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## LLM
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Be sure that `OPENAI_API_KEY` is set in order to the OpenAI models.
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## Cohere
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Be sure that `COHERE_API_KEY` is set in order to the ReRank endpoint.
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