Interface: Embedder

Defined in: src/memory/embedding/types.ts:38

An Embedder turns text into a dense vector of constant dimensionality. Implement embedBatch for backends that support one-call multi-embed (OpenAI / Voyage / etc.) — without it, batch callers fall back to N sequential embed() calls.

Properties

dimensions

readonly dimensions: number

Defined in: src/memory/embedding/types.ts:40

Vector length. Constant per embedder instance.

Methods

embed()

embed(args): Promise<number[]>

Defined in: src/memory/embedding/types.ts:43

Embed a single text into a vector of length dimensions.

Parameters

args

EmbedArgs

Returns

Promise<number[]>

---

embedBatch()?

optional embedBatch(args): Promise<number[][]>

Defined in: src/memory/embedding/types.ts:50

Optional batch API. When present, pipeline stages can avoid N sequential round-trips for turn-level indexing. Adapter SHOULD implement when the backend supports it.

Parameters

args

EmbedBatchArgs

Returns

Promise<number[][]>