Vector

In-memory implementation of vector similarity search capability.

This module provides an in-memory implementation of the VectorCapability protocol using dictionary-based storage optimized for development and testing scenarios.

InMemoryVectorCapability(em_invoker, store=None, encryption=None, default_batch_size=None)

Bases: BaseVectorCapability

In-memory implementation of VectorCapability protocol.

This class provides vector similarity search operations using pure Python data structures optimized for development and testing.

Attributes:

Name	Type	Description
store	dict[str, Chunk]	Dictionary storing Chunk objects with their IDs as keys.

Initialize the in-memory vector capability.

Parameters:

Name	Type	Description	Default
em_invoker	BaseEMInvoker	Embedding model invoker for text-to-vector conversion.	required
store	dict[str, Any] | None	Dictionary storing Chunk objects. Defaults to None.	None
encryption	EncryptionCapability | None	Encryption capability. Defaults to None.	None
default_batch_size	int | None	Default batch size. Defaults to None.	None

ensure_index(**kwargs) async

Ensure in-memory vector store exists, initializing if necessary.

Idempotent; no-op if store already exists.

Parameters:

Name	Type	Description	Default
**kwargs	Any	Unused; for interface compatibility.	{}