# Configuring Agentic Search with Bedrock Claude
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Agentic search leverages autonomous agents to execute complex searches on your behalf by understanding user intent, orchestrating the right tools, generating optimized queries, and providing transparent summaries of their decisions through a natural language interface. These agents are powered by reasoning models, such as Bedrock Claude.

Follow the steps below to open and run a CloudFormation template that automatically configures Bedrock Claude models for agentic search, and how to configure and create your agents in the AI Search Flows plugin on OpenSearch Dashboards.

## Enabling Bedrock Claude Access
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1. **Prerequisite:** If your domain uses fine-grained access control, map `arn:aws:iam::your-account-id:role/LambdaInvokeOpenSearchMLCommonsRole` as a backend role to the `ml_full_access` role before running the template. This IAM role will be created automatically by CloudFormation if it doesn't already exist. For more information on how to configure the mapping, see [Map the ML role in OpenSearch Dashboards (if using fine-grained access control)](ml-external-connector.md#connector-external-fgac).

1. Open the Amazon OpenSearch Service console at [https://console.aws.amazon.com/aos/home](https://console.amazonaws.cn/aos/home).

1. In the left navigation, choose **Integrations**.

1. Under **Integration with Bedrock Claude for Agentic Search**, choose **Configure domain**. Ensure your domain is on version 3.3 or greater.

1. In the CloudFormation template, enter your OpenSearch Service domain endpoint and select a model. The remaining fields are optional or pre-filled. Click **Create Stack** and wait for the provisioning to complete.

1. From the Amazon OpenSearch Service console, select **Domains**, and select your domain. Click the **OpenSearch Dashboards URL** to access OpenSearch Dashboards.

## Building agents and running Agentic Search
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1. From OpenSearch Dashboards, open the menu on the left-hand side. Select **OpenSearch Plugins** > **AI Search Flows** to access the plugin.

1. On the **Workflows** page, select the **New workflow** tab, and under the **Agentic Search** card, click **Create**.

1. Provide a unique name for your search configuration, and click **Create**.

1. Under **Configure agent**, click **Create new agent**. Select your newly-created Bedrock Claude model, then click **Create agent**. If the button is disabled, check **Advanced Settings** > **LLM Interface**, and ensure there is a valid interface selected. All models from CloudFormation will be Bedrock Claude models, so you can select **Bedrock Claude**, if it isn't already, then click **Create agent**.

1. Under **Test flow**, try running agentic searches. Provide a natural language search query, and click **Search**.

For complete documentation of the AI Search Flows plugin, see [Configuring Agentic Search](https://docs.opensearch.org/latest/vector-search/ai-search/building-agentic-search-flows/) in the OpenSearch documentation.

For more information about how Agentic Search works, see [Agentic Search](https://opensearch.org/docs/latest/vector-search/ai-search/agentic-search/) in the OpenSearch documentation.