Amazon Bedrock: agentic retrieval deployment with CDK
In brief
- Amazon Bedrock provides agentic retrieval via the AgenticRetrieveStream API for its managed knowledge bases.
- An agent routes queries between two knowledge bases and returns cited answers with seven telemetry layers.
- Deployment is done in a single Python CDK app with integrated evaluation (on-demand and continuous).
Amazon Bedrock now offers an agentic retrieval feature for its managed knowledge bases through the AgenticRetrieveStream API. According to the announcement, this approach allows an agent to plan multiple search rounds, dynamically choose between several knowledge bases, and provide sourced, cited answers.
The post details the deployment of a complete system in a single Python CDK application. The agent routes queries between two knowledge bases (financial and weather), uses the Gateway to interact with them, and returns evidence-based answers. Seven layers of telemetry and two types of evaluation (on-demand and continuous) are built in, all provisioned automatically by the infrastructure code.
This architecture avoids manual management of a vector store and simplifies workflow orchestration. It targets enterprises requiring reliable, auditable answers to complex questions, with enhanced observability to track agent behavior in production.
What it changes for you
- Public SectorPublic administrations can deploy sourced and auditable automated response systems for complex queries, with enhanced observability.
This summary gives you the essentials. The full article, its figures and quotes are on Artificial Intelligence.
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