create_index#
- langchain_community.retrievers.pinecone_hybrid_search.create_index(
- contexts: List[str],
- index: Any,
- embeddings: Embeddings,
- sparse_encoder: Any,
- ids: List[str] | None = None,
- metadatas: List[dict] | None = None,
- namespace: str | None = None,
- text_key: str = 'context',
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 (List[str] | None) – List of ids to use for the documents.
metadatas (List[dict] | None) – List of metadata to use for the documents.
namespace (str | None) – Namespace value for index partition.
text_key (str)
- Return type:
None