Amazon Web Services Rolls Out Enterprise Agentic Retrieval System
Enterprise agentic retrieval is a system that can reason about questions, route them to the right knowledge base, and retrieve iteratively before returning a cited answer. However, this introduces operational complexities, making it difficult to see what the system did or whether the answer was accurate.
A previous solution using Amazon Bedrock Knowledge Bases automated a single-shot Retrieval Augmented Generation (RAG) workflow with a self-managed knowledge base. However, Amazon Bedrock has evolved to offer managed knowledge bases that can perform multi-turn planning, execute retrieval tools, and generate grounded answers with citations.
This new solution takes the next step by building an enterprise agentic retrieval system where an agent reasons, retrieves across multiple knowledge bases, and synthesizes a cited answer. The system is built on Amazon Bedrock Managed Knowledge Base and Amazon Bedrock AgentCore, with observability and evaluation built in from the start.
The architecture of this solution includes seven layers of observability and evaluation, which are deployed using AWS CloudFormation. Every step of the reason-and-act loop is auto-instrumented by the runtime, allowing for real-time monitoring and feedback.