Class BedrockEmbeddings

Class that extends the Embeddings class and provides methods for generating embeddings using the Bedrock API.

Example

const embeddings = new BedrockEmbeddings({
  region: "your-aws-region",
  credentials: {
    accessKeyId: "your-access-key-id",
    secretAccessKey: "your-secret-access-key",
  },
  model: "amazon.titan-embed-text-v1",
});

// Embed a query and log the result
const res = await embeddings.embedQuery(
  "What would be a good company name for a company that makes colorful socks?"
);
console.log({ res });

Hierarchy

  • Embeddings
    • BedrockEmbeddings

Implements

Constructors

constructor

Properties

batchSize caller client model

Methods

embedDocuments embedQuery

Constructors

constructor

Properties

batchSize

batchSize: number = 512

caller

caller: AsyncCaller

The async caller should be used by subclasses to make any async calls, which will thus benefit from the concurrency and retry logic.

client

client: BedrockRuntimeClient

A client provided by the user that allows them to customze any SDK configuration options.

model

model: string

Model Name to use. Defaults to amazon.titan-embed-text-v1 if not provided

Methods

embedDocuments

  • embedDocuments(documents): Promise<number[][]>

  • Method to generate embeddings for an array of texts. Calls _embedText method which batches and handles retry logic when calling the AWS Bedrock API.

    Parameters

    • documents: string[]

      Array of texts for which to generate embeddings.

    Returns Promise<number[][]>

    Promise that resolves to a 2D array of embeddings for each input document.

embedQuery

  • embedQuery(document): Promise<number[]>

  • Method that takes a document as input and returns a promise that resolves to an embedding for the document. It calls the _embedText method with the document as the input.

    Parameters

    • document: string

      Document for which to generate an embedding.

    Returns Promise<number[]>

    Promise that resolves to an embedding for the input document.

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