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

This post shows how to build enterprise agentic retrieval on a Managed Amazon Bedrock Knowledge Base using the AWS CDK in Python, deploying four stacks (knowledge bases, AgentCore Gateway, agent runtime, and dashboards) with one `cdk deploy --all` command. It contrasts classic single-shot RAG with agentic retrieval, where an agent on AgentCore Runtime routes questions across two managed knowledge bases (financial and weather) exposed as MCP tools through the Gateway, invoking the AgenticRetrieveStream API for grounded, cited answers. The solution also provisions two CloudWatch dashboards spanning seven telemetry layers plus on-demand and continuous evaluation, since agentic systems need observability to verify behavior.