List all vector stores for the current account with pagination.

Returns a paginated list of vector stores owned by the authenticated account.

Create a new vector store.

The vector store will be scoped to the authenticated account. The name must be unique within the account.

Args: request: Vector store creation parameters including name, dimensions, and optional model vector_store_use_case: Injected vector store use case

Returns: The created vector store details

Get a vector store by name.

Args: vector_store_name: The unique name of the vector store within the account vector_store_use_case: Injected vector store use case

Returns: The vector store details

Configure the settings of a vector store.

Currently only supports updating indexed_metadata_fields. The name, embedding_dimensions, and embedding_model are immutable after creation.

Args: request: Configuration update with indexed_metadata_fields vector_store_name: The unique name of the vector store within the account vector_store_use_case: Injected vector store use case

Returns: The updated vector store details

Delete (drop) a vector store by name.

This is a hard delete operation that permanently removes the vector store.

Args: vector_store_name: The unique name of the vector store within the account vector_store_use_case: Injected vector store use case

Returns: Deletion confirmation with the vector store ID

Insert documents into a vector store.

Documents with duplicate IDs will fail. For updates, use upsert instead.

Args: request: Array of documents to insert vector_store_name: The unique name of the vector store vector_store_use_case: Injected vector store use case

Returns: Batch operation results with success/failure counts

Insert or update documents in a vector store.

Existing documents (by ID) will be updated, new documents will be inserted.

Args: request: Array of documents to upsert vector_store_name: The unique name of the vector store vector_store_use_case: Injected vector store use case

Returns: Batch operation results with success/failure counts

Delete documents from a vector store by IDs or filter.

Args: request: Either IDs or filter criteria for deletion vector_store_name: The unique name of the vector store vector_store_use_case: Injected vector store use case

Returns: Number of documents deleted

List documents in a vector store with pagination.

Args: vector_store_name: The unique name of the vector store limit: Maximum number of documents per page cursor: Pagination cursor from previous response filter_param: Optional metadata filter (JSON string) include_vectors: Whether to include embedding vectors vector_store_use_case: Injected vector store use case

Returns: Paginated list of documents

Count documents in a vector store, optionally filtered by metadata.

Args: vector_store_name: The unique name of the vector store request: Optional filter criteria (empty body counts all documents) vector_store_use_case: Injected vector store use case

Returns: The count of documents matching the criteria

Query documents by similarity search.

Supports semantic (vector), lexical (text), or hybrid search modes.

Args: request: Query parameters including text, filters, and reranking options vector_store_name: The unique name of the vector store vector_store_use_case: Injected vector store use case

Returns: Matching documents with similarity scores and query metadata