学完这篇教程，你就能用Stardog和Bedrock AgentCore打通Aurora和Redshift，不用搬数据就能回答客户360问题。
该方案使用Stardog的语义AI应用连接Amazon Aurora和Amazon Redshift，通过Amazon Bedrock AgentCore的Agent服务进行查询，无需ETL即可整合客户360数据。Stardog部署可运行在Amazon EKS、ECS和Lambda等AWS计算服务上。AgentCore将身份验证、托管和工具凭证整合为单一托管服务，简化了开发流程。
Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore
In this post we show how to build a semantic layer on AWS using Stardog’s Semantic AI Application over Amazon Aurora and Amazon Redshift, and how to run a Strands Agents agent on Amazon Bedrock AgentCore that queries the layer to answer customer 360 questions across both sources without extract, transform, and load (ETL). The same Stardog deployment works behind AWS computes (Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), and AWS Lambda). We use AgentCore here because it bundles inbound auth, hosting, and tool credentials into one managed service.