# `embedMany()`

Embed several values using an embedding model. The type of the value is defined
by the 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.textEmbeddingModel('text-embedding-3-small')",
    },
    {
      name: 'values',
      type: 'Array<VALUE>',
      description: 'The values to embed. The type depends on the model.',
    },
    {
      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: '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<VALUE>',
      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: 'body',
              type: 'unknown',
              isOptional: true,
              description: 'The response body.',
            },
          ],
        },
      ],
    },
    {
      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.',
    },
  ]}
/>


## Navigation

- [generateText](/v5/docs/reference/ai-sdk-core/generate-text)
- [streamText](/v5/docs/reference/ai-sdk-core/stream-text)
- [generateObject](/v5/docs/reference/ai-sdk-core/generate-object)
- [streamObject](/v5/docs/reference/ai-sdk-core/stream-object)
- [embed](/v5/docs/reference/ai-sdk-core/embed)
- [embedMany](/v5/docs/reference/ai-sdk-core/embed-many)
- [generateImage](/v5/docs/reference/ai-sdk-core/generate-image)
- [transcribe](/v5/docs/reference/ai-sdk-core/transcribe)
- [generateSpeech](/v5/docs/reference/ai-sdk-core/generate-speech)
- [tool](/v5/docs/reference/ai-sdk-core/tool)
- [dynamicTool](/v5/docs/reference/ai-sdk-core/dynamic-tool)
- [experimental_createMCPClient](/v5/docs/reference/ai-sdk-core/create-mcp-client)
- [Experimental_StdioMCPTransport](/v5/docs/reference/ai-sdk-core/mcp-stdio-transport)
- [jsonSchema](/v5/docs/reference/ai-sdk-core/json-schema)
- [zodSchema](/v5/docs/reference/ai-sdk-core/zod-schema)
- [valibotSchema](/v5/docs/reference/ai-sdk-core/valibot-schema)
- [ModelMessage](/v5/docs/reference/ai-sdk-core/model-message)
- [UIMessage](/v5/docs/reference/ai-sdk-core/ui-message)
- [validateUIMessages](/v5/docs/reference/ai-sdk-core/validate-ui-messages)
- [safeValidateUIMessages](/v5/docs/reference/ai-sdk-core/safe-validate-ui-messages)
- [createProviderRegistry](/v5/docs/reference/ai-sdk-core/provider-registry)
- [customProvider](/v5/docs/reference/ai-sdk-core/custom-provider)
- [cosineSimilarity](/v5/docs/reference/ai-sdk-core/cosine-similarity)
- [wrapLanguageModel](/v5/docs/reference/ai-sdk-core/wrap-language-model)
- [LanguageModelV2Middleware](/v5/docs/reference/ai-sdk-core/language-model-v2-middleware)
- [extractReasoningMiddleware](/v5/docs/reference/ai-sdk-core/extract-reasoning-middleware)
- [simulateStreamingMiddleware](/v5/docs/reference/ai-sdk-core/simulate-streaming-middleware)
- [defaultSettingsMiddleware](/v5/docs/reference/ai-sdk-core/default-settings-middleware)
- [stepCountIs](/v5/docs/reference/ai-sdk-core/step-count-is)
- [hasToolCall](/v5/docs/reference/ai-sdk-core/has-tool-call)
- [simulateReadableStream](/v5/docs/reference/ai-sdk-core/simulate-readable-stream)
- [smoothStream](/v5/docs/reference/ai-sdk-core/smooth-stream)
- [generateId](/v5/docs/reference/ai-sdk-core/generate-id)
- [createIdGenerator](/v5/docs/reference/ai-sdk-core/create-id-generator)


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