Build observable enterprise agentic retrieval using Managed Amazon Bedrock Knowledge Base with AWS CloudFormation
Not a pilot. AWS just shipped the full stack: agents reasoning across knowledge bases, observability baked in, deployed in one CloudFormation chain.
Why it matters
Enterprise agentic retrieval is moving from proof-of-concept to production-ready infrastructure. This demonstrates how to build multi-KB routing agents with seven layers of observability and evaluation—a blueprint practitioners need for deploying agents at scale.
The key facts
12 to knowAmazon Bedrock Managed Knowledge Base + AgentCore for enterprise agentic retrieval
Seven layers of observability included in the architecture
Multi-knowledge-base routing with cited answers
On-demand and continuous evaluation built into the deployment
Single AWS CloudFormation deployment model
Vendor deep-dive / production blueprint format
Amazon Bedrock AgentCore with multi-knowledge-base routing
Seven layers of observability included
On-demand and continuous evaluation built-in
Single AWS CloudFormation deployment chain
Agent citation/answer tracking
Enterprise agentic retrieval pattern
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: This post builds an enterprise agentic retrieval solution on the Amazon Bedrock Managed Knowledge Base and Amazon Bedrock AgentCore. An agent reasons, routes across multiple knowledge bases, and returns cited answers, with seven layers of observability and both on-demand and continuous evaluation,…