BagelVectorStore

class llama_index.vector_stores.BagelVectorStore(collection: Any, **kwargs: Any)

Bases: VectorStore

Vector store for Bagel.

Attributes Summary

client	Get the Bagel cluster.
flat_metadata
stores_text

Methods Summary

add(nodes, **add_kwargs)	Add a list of nodes with embeddings to the vector store.
delete(ref_doc_id, **kwargs)	Delete a document from the vector store.
query(query, **kwargs)	Query the vector store.

Attributes Documentation

client

Get the Bagel cluster.

flat_metadata: bool = True

stores_text: bool = True

Methods Documentation

add(nodes: List[BaseNode], **add_kwargs: Any) → List[str]

Add a list of nodes with embeddings to the vector store.

Parameters

• nodes – List of nodes with embeddings.

• kwargs – Additional arguments.

Returns

List of document ids.

delete(ref_doc_id: str, **kwargs: Any) → None

Delete a document from the vector store.

Parameters

• ref_doc_id – Reference document id.

• kwargs – Additional arguments.

query(query: VectorStoreQuery, **kwargs: Any) → VectorStoreQueryResult

Query the vector store.

Parameters

• query – Query to run.

• kwargs – Additional arguments.

Returns

Query result.