用 CDK 在 Amazon Bedrock 托管知识库上构建 Agentic 检索
原标题：Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK
AI 摘要
AWS 博客介绍如何用 AWS CDK 在 Amazon Bedrock 托管知识库（Type: MANAGED）上构建企业级 agentic retrieval。文章对比传统单次 RAG 的局限，说明托管知识库接管了摄取、存储、索引和检索，并配合 Bedrock AgentCore 的 Gateway（将知识库暴露为 MCP 工具）、Runtime 和 AgenticRetrieveStream API 实现多轮规划、语义路由与带引用回答。方案还内置 CloudWatch 仪表盘和按需/持续评估，强调可观测性成为运行该系统的必要组成部分。
正文节选
Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK This post builds enterprise agentic retrieval on a Managed Amazon Bedrock Knowledge Base with the AWS Cloud Development Kit (AWS CDK). To see why that’s worth building, it helps to start with where ordinary Retrieval Augmented Generation (RAG) breaks down. Most RAG systems start the same way: they embed the question, fetch the nearest chunks from one index, hand them to a model, and return the answer. One retrieval, one