AgentsAugust 31, 2026via AWS Machine Learning Blog
Build observable enterprise agentic retrieval using Managed Amazon Bedrock Knowledge Base with AWS CloudFormation
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.
Key signals
- Amazon 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
The hook
Not a pilot. AWS just shipped the full stack: agents reasoning across knowledge bases, observability baked in, deployed in one CloudFormation chain.
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, a…