langchain.retrievers.pinecone_hybrid_search.create_index(contexts: List[str], index: Any, embeddings: Embeddings, sparse_encoder: Any, ids: Optional[List[str]] = None, metadatas: Optional[List[dict]] = None, namespace: Optional[str] = None) None[source]ΒΆ

Create an index from a list of contexts.

It modifies the index argument in-place!

  • contexts – List of contexts to embed.

  • index – Index to use.

  • embeddings – Embeddings model to use.

  • sparse_encoder – Sparse encoder to use.

  • ids – List of ids to use for the documents.

  • metadatas – List of metadata to use for the documents.