AWS builds agentic retrieval on managed Bedrock knowledge base with CDK
AWS explains how to construct an enterprise‑level agentic retrieval system using its Managed Bedrock Knowledge Base and the AWS Cloud Development Kit (CDK). The post builds on a 2024 guide that used a single‑shot RAG pipeline with Amazon S3, OpenSearch Serverless, and custom CDK stacks. In the updated version, Bedrock now offers a fully managed knowledge base that owns ingestion, storage,…
Key points
- managed bedrock knowledge base removes need for opensearch serverless collection
- agenticretrievestream api enables multi‑turn retrieval and cited answers
- cdk app provisions four stacks and seven observability layers automatically
The new architecture introduces the AgenticRetrieveStream API, which performs multi‑turn planning, iterative retrieval, and grounded, cited answers. A reasoning agent decides whether to retrieve, which knowledge base to consult, and whether to loop for more context. The CDK application provisions four stacks, automatically wiring seven observability layers into Amazon CloudWatch and AWS X‑Ray, and includes two evaluation dashboards.
The guide shows how to ingest two small corpora—synthetic financial data and a public weather report—into separate managed knowledge bases, then route queries through an AgentCore Runtime, Gateway, and the AgenticRetrieveStream tool. The result is a fully instrumented, agentic retrieval pipeline that can be deployed with a single CDK command.
The story so far
3 episodes →- AWS builds agentic retrieval on managed Bedrock knowledge base with CDKthis story
Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK
AWS Machine Learning Blog · 26 October 2026
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This text was published by AWS Machine Learning Blog and written by Prabhakar Chandrasekaran. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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