GoogleEmbeddingModel

Namespace: Vercel.AI.Google

public sealed class GoogleEmbeddingModel : IEmbeddingModel

Gemini embedding model. One value uses :embedContent; several values use :batchEmbedContents.

Inheritance: object

Implements: IEmbeddingModel

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Constructors

GoogleEmbeddingModel(GoogleProvider, string)

public GoogleEmbeddingModel(GoogleProvider provider, string modelId)

Creates an embedding model.

Parameters

Name	Type	Description
provider	GoogleProvider
modelId	string

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Fields

MaxEmbeddingsPerCall

public const int MaxEmbeddingsPerCall = 100

Maximum values in one Generative Language batch.

Value: int

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Properties

ModelId

public string ModelId { get; }

Model id.

Value: string

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Provider

public string Provider { get; }

Provider id.

Value: string

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SpecificationVersion

public string SpecificationVersion { get; }

Specification version. Always V4.

Value: string

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Methods

DoEmbedAsync(IReadOnlyList<string>, IReadOnlyDictionary<string, JsonElement>?, CancellationToken, int?, IReadOnlyDictionary<string, string?>?)

public Task<EmbeddingResult> DoEmbedAsync(IReadOnlyList<string> values, IReadOnlyDictionary<string, JsonElement>? providerOptions, CancellationToken cancellationToken, int? dimensions = null, IReadOnlyDictionary<string, string?>? headers = null)

Embeds each value. Maps to doEmbed. <code class=“paramref”>providerOptions</code> is keyed by provider id. <code class=“paramref”>dimensions</code> is the requested vector width. A provider option for the same setting wins. <code class=“paramref”>headers</code> are sent with this call and override the provider headers.

Parameters

Name	Type	Description
values	IReadOnlyList<string>
providerOptions	IReadOnlyDictionary<string, JsonElement>
cancellationToken	CancellationToken
dimensions	int?
headers	IReadOnlyDictionary<string, string>

Returns: Task<EmbeddingResult>

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