用 EDB Postgres AI 和 Amazon Bedrock AgentCore 搭建智能体语义层
Build a semantic layer for agentic AI with EDB Postgres AI and Amazon Bedrock AgentCore
教你在 Postgres 里给智能体搭语义层,权限用 GRANT 和行级安全管,配合 Strands Agents 和 Bedrock AgentCore 跑通全流程。
这篇教程演示如何在 EDB Postgres AI 内部构建受治理的语义层,供智能体查询。业务含义、表连接路径和访问控制都存放在 Postgres 中,通过 GRANT 和行级安全(RLS)限制每个智能体可读的数据范围。查询端使用 Strands Agents 框架开发智能体,并部署在 Amazon Bedrock AgentCore 上运行。教程覆盖从语义层建模到智能体接入查询的完整流程。
Build a semantic layer for agentic AI with EDB Postgres AI and Amazon Bedrock AgentCore
Learn how to build a governed semantic layer for agentic AI inside EDB Postgres AI and query it from a Strands Agents agent on Amazon Bedrock AgentCore. Business meaning, join paths, and access control all live in Postgres, with GRANT and row-level security enforcing what each agent can read.