ai/docs/07-reference/01-ai-sdk-core/06-embed-many.mdx

AI SDK by Vercel - The AI Toolkit for TypeScript and JavaScript

---
title: embedMany
description: API Reference for embedMany.
---

# `embedMany()`

Embed several values using an embedding model.

`embedMany` automatically splits large requests into smaller chunks if the model
has a limit on how many embeddings can be generated in a single call.

```ts
import { embedMany } from 'ai';

const { embeddings } = await embedMany({
  model: 'openai/text-embedding-3-small',
  values: [
    'sunny day at the beach',
    'rainy afternoon in the city',
    'snowy night in the mountains',
  ],
});
```

## Import

<Snippet text={`import { embedMany } from "ai"`} prompt={false} />

## API Signature

### Parameters

<PropertiesTable
  content={[
    {
      name: 'model',
      type: 'EmbeddingModel',
      description:
        "The embedding model to use. Example: openai.embeddingModel('text-embedding-3-small')",
    },
    {
      name: 'values',
      type: 'Array<string>',
      description: 'The values to embed.',
    },
    {
      name: 'maxRetries',
      type: 'number',
      isOptional: true,
      description:
        'Maximum number of retries. Set to 0 to disable retries. Default: 2.',
    },
    {
      name: 'abortSignal',
      type: 'AbortSignal',
      isOptional: true,
      description:
        'An optional abort signal that can be used to cancel the call.',
    },
    {
      name: 'headers',
      type: 'Record<string, string>',
      isOptional: true,
      description:
        'Additional HTTP headers to be sent with the request. Only applicable for HTTP-based providers.',
    },
    {
      name: 'providerOptions',
      type: 'ProviderOptions',
      isOptional: true,
      description:
        'Provider-specific options that are passed through to the provider.',
    },
    {
      name: 'maxParallelCalls',
      type: 'number',
      isOptional: true,
      description:
        'Maximum number of concurrent requests to the provider. Default: Infinity.',
    },
    {
      name: 'experimental_telemetry',
      type: 'TelemetrySettings',
      isOptional: true,
      description: 'Telemetry configuration. Experimental feature.',
      properties: [
        {
          type: 'TelemetrySettings',
          parameters: [
            {
              name: 'isEnabled',
              type: 'boolean',
              isOptional: true,
              description:
                'Enable or disable telemetry. Disabled by default while experimental.',
            },
            {
              name: 'recordInputs',
              type: 'boolean',
              isOptional: true,
              description:
                'Enable or disable input recording. Enabled by default.',
            },
            {
              name: 'recordOutputs',
              type: 'boolean',
              isOptional: true,
              description:
                'Enable or disable output recording. Enabled by default.',
            },
            {
              name: 'functionId',
              type: 'string',
              isOptional: true,
              description:
                'Identifier for this function. Used to group telemetry data by function.',
            },
            {
              name: 'metadata',
              isOptional: true,
              type: 'Record<string, string | number | boolean | Array<null | undefined | string> | Array<null | undefined | number> | Array<null | undefined | boolean>>',
              description:
                'Additional information to include in the telemetry data.',
            },
            {
              name: 'tracer',
              type: 'Tracer',
              isOptional: true,
              description: 'A custom tracer to use for the telemetry data.',
            },
          ],
        },
      ],
    },
  ]}
/>

### Returns

<PropertiesTable
  content={[
    {
      name: 'values',
      type: 'Array<string>',
      description: 'The values that were embedded.',
    },
    {
      name: 'embeddings',
      type: 'number[][]',
      description: 'The embeddings. They are in the same order as the values.',
    },
    {
      name: 'usage',
      type: 'EmbeddingModelUsage',
      description: 'The token usage for generating the embeddings.',
      properties: [
        {
          type: 'EmbeddingModelUsage',
          parameters: [
            {
              name: 'tokens',
              type: 'number',
              description: 'The total number of input tokens.',
            },
          ],
        },
      ],
    },
    {
      name: 'warnings',
      type: 'Warning[]',
      description:
        'Warnings from the model provider (e.g. unsupported settings).',
    },
    {
      name: 'providerMetadata',
      type: 'ProviderMetadata | undefined',
      isOptional: true,
      description:
        'Optional metadata from the provider. The outer key is the provider name. The inner values are the metadata. Details depend on the provider.',
    },
    {
      name: 'responses',
      type: 'Array<{ headers?: Record<string, string>; body?: unknown } | undefined>',
      isOptional: true,
      description:
        'Optional raw response data from each chunk request. There may be multiple responses if the request was split into multiple chunks.',
    },
  ]}
/>