Build observable enterprise agentic retrieval using Managed Amazon Bedrock Knowledge Base with AWS CloudFormation

Amazon Bedrock has evolved its Managed Knowledge Bases to support advanced agentic retrieval capabilities, enabling systems to reason, route, and retrieve information across multiple knowledge bases with high observability. This solution involves deploying a multi-stack AWS CloudFormation setup that automates ingestion, routing, retrieval, and evaluation, providing comprehensive operational insights through dashboards. The architecture supports complex question answering by decomposing queries, selecting appropriate knowledge bases, and synthesizing grounded, cited answers, all while monitoring performance and quality metrics in real-time. This approach is suited for enterprise scenarios where information is distributed across various repositories, such as support, research, or internal content systems. The deployment includes synthetic datasets for financial and weather domains, demonstrating the routing and retrieval process, with observability layers capturing operational metrics, token usage, and answer quality. The system supports both on-demand and continuous evaluation, facilitating development and production monitoring. This pattern enhances the reliability and transparency of AI-powered enterprise knowledge systems, enabling organizations to deploy scalable, observable, and multi-source reasoning AI solutions.