langchain_community.retrievers.pinecone_hybrid_search.create_index

langchain_community.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]

Create an index from a list of contexts.

It modifies the index argument in-place!

Parameters

  • contexts (List[str]) – List of contexts to embed.

  • index (Any) – Index to use.

  • embeddings (Embeddings) – Embeddings model to use.

  • sparse_encoder (Any) – Sparse encoder to use.

  • ids (Optional[List[str]]) – List of ids to use for the documents.

  • metadatas (Optional[List[dict]]) – List of metadata to use for the documents.

  • namespace (Optional[str]) –

Return type

None