How-toOfficialSelected

AWS CDK template builds agentic retrieval on Amazon Bedrock Knowledge Bases

Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK

Why we picked it

Routing across multiple knowledge bases through one gateway reduces the glue code teams usually write by hand for enterprise RAG. Builders evaluating agent frameworks can reuse the CDK stack to get observability and evaluation pipelines from day one instead of assembling them separately. It sits alongside alternatives like LangChain-based retrievers, with the advantage of managed Bedrock infrastructure.

AWS published a CDK application that deploys an agent capable of routing across two Managed Amazon Bedrock Knowledge Bases and retrieving content through the AgentCore Gateway. The stack returns grounded, cited answers rather than raw retrieval results. It includes seven layers of observability and supports both on-demand and continuous evaluation. The entire setup is deployed as a single CDK application.

Image · AWS Machine Learning Blog
Original · AWS Machine Learning Blog

Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK

Build enterprise agentic retrieval on a Managed Amazon Bedrock Knowledge Base with the AWS CDK: an agent that routes across two knowledge bases, retrieves through the AgentCore Gateway, and returns grounded, cited answers, with seven layers of observability and both on-demand and continuous evaluation, all deployed as a single CDK application.