AI × AEC · CURATED INSIGHT
AWS Details Agentic Retrieval on Managed Bedrock Knowledge Base with CDK
AWS outlined an architecture using Amazon Bedrock Managed Knowledge Base and AgentCore to deploy multi-turn agentic retrieval as a four-stack AWS CDK application.
AWS shared an implementation pattern replacing traditional single-shot RAG with agentic retrieval on Amazon Bedrock Managed Knowledge Bases. The service manages data ingestion, indexing, and reranking internally, eliminating the need to provision an OpenSearch Serverless vector database. Bedrock AgentCore routes queries across multiple knowledge bases via Model Context Protocol tools, with execution instrumented in Amazon CloudWatch.
Key takeaways
- Bedrock Managed Knowledge Base handles ingestion, storage, indexing, and multi-turn AgenticRetrieveStream calls without user-managed vector clusters.
- A four-stack AWS CDK Python application coordinates AgentCore Gateway tools over MCP, AgentCore Runtime, and CloudWatch telemetry.
Source：AWS Machine Learning Read the original ↗
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