# Add an Amazon Bedrock Knowledge Base component to a chat agent app
Add a Knowledge Base component to a chat agent app

In this procedure, you add a Knowledge Base component to an existing [chat agent app](create-chat-app.md).

After adding a Knowledge Base component, you can make the following configuration changes.

**Search type**  
You can select a strategy for searching data sources in your knowledge base. Default search chooses the best option between hybrid search and semantic search for your vector store. You can override the the default search type and choose to use a hybrid search (semantic and text) or semantic search. Hybrid search combines relevancy scores from semantic and text search to provide greater accuracy. Semantic search Uses vector embeddings to deliver relevant results. For more information, see [Amazon Bedrock Knowledge Bases now supports hybrid search](https://aws.amazon.com/blogs/machine-learning/amazon-bedrock-knowledge-bases-now-supports-hybrid-search/).

**Maximum number of source chunks**  
When you query a knowledge base, the model returns up to five results in the response by default. Each result corresponds to a source chunk. You can edit the maximum number of retrieved results to return from the vector store. For more information, see [Chunking](kb-chunking-parsing.md#kb-chunking).

**To add a Knowledge Base component to a chat agent app**

1. Navigate to the Amazon SageMaker Unified Studio landing page by using the URL from your administrator.

1. Access Amazon SageMaker Unified Studio using your IAM or single sign-on (SSO) credentials. For more information, see [Access Amazon SageMaker Unified Studio](getting-started-access-the-portal.md).

1. If the project that you want to use isn't already open, do the following:

   1. Choose the current project at the top of the page. If a project isn't already open, choose **Select a project**.

   1. Select **Browse all projects**. 

   1. In **Projects** select the project that you want to use.

1. Choose the **Build** menu option at the top of the page.

1. In **MACHINE LEARNING & GENERATIVE AI** choose **My apps**.

1. In **Apps** choose the chat agent app that you want to add the knowledge base component to.

1. In the **Configs** pane, choose **Data**.

1. Select **Use Knowledge Base**.

1. For **Select Knowledge Base**, select the Knowledge Base component that you want to use. To create a Knowledge Base component, see [Create an Amazon Bedrock Knowledge Base component](creating-a-knowledge-base-component.md).

1. (Optional) Choose **Edit advanced search configs** to set advanced search configurations. 

   1. In **Search type**, turn on **Overide default search** to choose a different search type. You can choose from **Hybrid search** (Combines relevancy scores from semantic and text search to provide greater accuracy) or **Semantic search** (Uses vector embeddings to deliver relevant results).

   1. (Optional) In **Maximum number of source chunks**, choose the maximum number of source chunks to use. 

1. Choose **Save** to save your changes.