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Jack YeandBrendan Clement 47b7babc08 docs: bring the open-source documentation into this repository (#4122)
Move the public website pages into `docs/web` beside the SDK, with
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---------

Co-authored-by: Brendan Clement <brendan.clement@lancedb.com>
2026-10-07 11:15:00 -07:00

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---
title: AWS Bedrock
sidebarTitle: AWS
---
import { PyEmbeddingAwsUsage } from '/snippets/integrations.mdx';
AWS Bedrock supports multiple base models for generating text embeddings. You need to setup the AWS credentials to use this embedding function.
You can do so by using `awscli` and also add your session_token:
```shell
aws configure
aws configure set aws_session_token "<your_session_token>"
```
to ensure that the credentials are set up correctly, you can run the following command:
```shell
aws sts get-caller-identity
```
Supported Embedding modelIDs are:
* `amazon.titan-embed-text-v1`
* `cohere.embed-english-v3`
* `cohere.embed-multilingual-v3`
Supported parameters (to be passed in `create` method) are:
| Parameter | Type | Default Value | Description |
|---|---|---|---|
| **name** | str | "amazon.titan-embed-text-v1" | The model ID of the bedrock model to use. Supported base models for Text Embeddings: amazon.titan-embed-text-v1, cohere.embed-english-v3, cohere.embed-multilingual-v3 |
| **region** | str | "us-east-1" | Optional name of the AWS Region in which the service should be called (e.g., "us-east-1"). |
| **profile_name** | str | None | Optional name of the AWS profile to use for calling the Bedrock service. If not specified, the default profile will be used. |
| **assumed_role** | str | None | Optional ARN of an AWS IAM role to assume for calling the Bedrock service. If not specified, the current active credentials will be used. |
| **role_session_name** | str | "lancedb-embeddings" | Optional name of the AWS IAM role session to use for calling the Bedrock service. If not specified, a "lancedb-embeddings" name will be used. |
| **runtime** | bool | True | Optional choice of getting different client to perform operations with the Amazon Bedrock service. |
| **max_retries** | int | 7 | Optional number of retries to perform when a request fails. |
Usage Example:
<CodeGroup>
<CodeBlock filename="Python" language="Python" icon="python">
{PyEmbeddingAwsUsage}
</CodeBlock>
</CodeGroup>