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*   Bedrock

Bedrock
=======

[Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-service.html) is a fully managed service that makes base models from Amazon and third-party model providers accessible through an API.

When this documentation was written, Bedrock supports one model for text embeddings, the Titan Embeddings G1 - Text model (amazon.titan-embed-text-v1). This model supports text retrieval, semantic similarity, and clustering. The maximum input text is 8K tokens and the maximum output vector length is 1536.

Setup[​](#setup "Direct link to Setup")
---------------------------------------

To use this embedding, please ensure you have the Bedrock runtime client installed in your project.

*   npm
*   Yarn
*   pnpm

    npm i @aws-sdk/client-bedrock-runtime@^3.422.0

    yarn add @aws-sdk/client-bedrock-runtime@^3.422.0

    pnpm add @aws-sdk/client-bedrock-runtime@^3.422.0

tip

See [this section for general instructions on installing integration packages](/v0.1/docs/get_started/installation/#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install @langchain/community

    yarn add @langchain/community

    pnpm add @langchain/community

tip

We're unifying model params across all packages. We now suggest using `model` instead of `modelName`, and `apiKey` for API keys.

Usage[​](#usage "Direct link to Usage")
---------------------------------------

The `BedrockEmbeddings` class uses the AWS Bedrock API to generate embeddings for a given text. It strips new line characters from the text as recommended.

    /* eslint-disable @typescript-eslint/no-non-null-assertion */import { BedrockEmbeddings } from "@langchain/community/embeddings/bedrock";const embeddings = new BedrockEmbeddings({  region: process.env.BEDROCK_AWS_REGION!,  credentials: {    accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID!,    secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY!,  },  model: "amazon.titan-embed-text-v1", // Default value});const res = await embeddings.embedQuery(  "What would be a good company name a company that makes colorful socks?");console.log({ res });

#### API Reference:

*   [BedrockEmbeddings](https://api.js.langchain.com/classes/langchain_community_embeddings_bedrock.BedrockEmbeddings.html) from `@langchain/community/embeddings/bedrock`

Configuring the Bedrock Runtime Client[​](#configuring-the-bedrock-runtime-client "Direct link to Configuring the Bedrock Runtime Client")
------------------------------------------------------------------------------------------------------------------------------------------

You can pass in your own instance of the `BedrockRuntimeClient` if you want to customize options like `credentials`, `region`, `retryPolicy`, etc.

    import { BedrockRuntimeClient } from "@aws-sdk/client-bedrock-runtime";import { BedrockEmbeddings } from "langchain/embeddings/bedrock";const client = new BedrockRuntimeClient({  region: "us-east-1",  credentials: getCredentials(),});const embeddings = new BedrockEmbeddings({  client,});

* * *

#### Help us out by providing feedback on this documentation page:

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