用 Strategy Mosaic 与 Amazon Bedrock AgentCore 在 AWS 上构建智能体语义层
原标题：Build a semantic layer for agentic AI on AWS with Strategy Mosaic and Amazon Bedrock AgentCore
AI 摘要
AWS Machine Learning Blog 发布教程，介绍如何用 Strategy Mosaic 作为语义层，在 Amazon Redshift 和 Amazon Aurora 上构建 Customer 360 领域模型，并通过 MCP 端点让托管在 Amazon Bedrock AgentCore 上的 Strands 智能体访问该语义层。文章说明 Mosaic 采用维度建模，可从同一份定义对外提供 MCP、JDBC/ODBC、XMLA 和 REST 四种协议，并将连接、指标定义及行列级安全过滤保留在语义层内而非智能体提示词中。该方案无需 ETL，支持实时下推与内存执行两种模式，并可将治理后的定义发布到 Power BI、Tableau 等工具。
正文节选
Build a semantic layer for agentic AI on AWS with Strategy Mosaic and Amazon Bedrock AgentCore This post is co-written with Zhili Cheng, Principal Product Manager, George Earle, Director, AI Engineering, and Kyler K, Sales Engineer of Strategy. In the first post in this series, we built a semantic layer on AWS using Stardog’s knowledge graph over Amazon Aurora and Amazon Redshift and ran a Strands agent on Amazon Bedrock AgentCore against that layer. The second post kept the same customer 360 (C