用 EDB Postgres AI 与 Bedrock AgentCore 构建智能体语义层
原标题：Build a semantic layer for agentic AI with EDB Postgres AI and Amazon Bedrock AgentCore
AI 摘要
AWS Machine Learning Blog 发布教程，介绍如何用 EDB Postgres AI 和 Amazon Bedrock AgentCore 为智能体 AI 构建语义层。方案把业务语义（COMMENT 语句、外键连接图、GRANT 与行级安全）直接放在运营型 Postgres 数据库内，通过内置 MCP 端点暴露给运行在 AgentCore 上的 Strands Agents 智能体，用于回答客户 360 问题。文章展示了同一问题在不同 Postgres 角色下返回不同结果，并将每次 SQL 执行的 OpenTelemetry 追踪写入 aidb_otel schema。
正文节选
Build a semantic layer for agentic AI with EDB Postgres AI and Amazon Bedrock AgentCore In this post, we show how to build a semantic layer for agentic AI using EDB Postgres AI. We run a Strands Agents agent on Amazon Bedrock AgentCore that queries the layer to answer customer 360 (C360) questions. Earlier posts in this series built the same C360 pattern with Stardog’s knowledge graph, Denodo’s data virtualization platform, AtScale’s dimensional model, and Strategy Mosaic’s linked models. EDB Po