Amazon Bedrock templates - Amazon OpenSearch Service
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Amazon Bedrock templates

The Amazon Bedrock CloudFormation templates provision the Amazon resources needed to create connectors between OpenSearch Service and Amazon Bedrock.

First, the template creates an IAM role that allows the future Lambda function to access your OpenSearch Service domain. The template then creates the Lambda function, which has the domain create a connector using the ML Commons plugin. After OpenSearch Service creates the connector, the remote inference set up is finished and you can run semantic searches using the Amazon Bedrock API operations.

Note

Since Amazon Bedrock hosts its own ML models, you don’t need to deploy a model to SageMaker Runtime. Instead, the template uses a predetermined endpoint for Amazon Bedrock and skips the endpoint provision steps.

To use the Amazon Bedrock CloudFormation template

  1. Open the Amazon OpenSearch Service console.

  2. In the left navigation pane, choose Integrations.

  3. Under Integrate with Amazon Titan Text Embeddings model through Amazon Bedrock, choose Configure domain, Configure public domain.

  4. Follow the prompt to set up your model.

Note

OpenSearch Service also provides a separate template to configure an Amazon VPC domain. If you use this template, you need to provide the Amazon VPC ID for the Lambda function.

In addition, OpenSearch Service provides the following Amazon Bedrock templates to connect to the Cohere model and the Amazon Titan Multimodal Embeddings model:

  • Integration with Cohere Embed through Amazon Bedrock

  • Integrate with Amazon Bedrock Titan Multi-modal