EmbeddingOptions

Defined in: packages/ai/src/types.ts:3369

Options for embedding generation, as received by adapters. The embed() entry point normalizes a single input item to an array before calling the adapter, so input is always an array here.

Type Parameters

TProviderOptions

TProviderOptions extends object = object

Properties

dimensions?

optional dimensions?: number;

optional dimensions?: number;

Defined in: packages/ai/src/types.ts:3378

Requested output dimensionality. Adapters for models with fixed dimensions throw a clear runtime error when this is set.

input

input: EmbeddingInputItem[];

input: EmbeddingInputItem[];

Defined in: packages/ai/src/types.ts:3373

The items to embed — one vector per item

logger

logger: InternalLogger;

logger: InternalLogger;

Defined in: packages/ai/src/types.ts:3386

Internal logger threaded from the embed() entry point. Adapters must call logger.request() before the SDK call and logger.errors() in catch blocks.

model

model: string;

model: string;

Defined in: packages/ai/src/types.ts:3371

The model to use for embedding generation

modelOptions?

optional modelOptions?: TProviderOptions;

optional modelOptions?: TProviderOptions;

Defined in: packages/ai/src/types.ts:3380

Model-specific options for embedding generation