Building an Agent Semantic Layer with EDB Postgres AI and Bedrock AgentCore
Understand the story
On November 4, 2026, the AWS Machine Learning Blog published a demo introducing how to build a semantic layer for Agentic AI using EDB Postgres AI and Amazon Bedrock AgentCore. The specific approach: embed a semantic knowledge base (SemKB) into operational Postgres databases via the AIDB extension; implement semantic definitions and data governance using COMMENT statements, foreign key join graphs, and mechanisms such as GRANT and row-level security; then register the semantic layer with the AgentCore Gateway via the database's built-in MCP endpoint for agents to invoke. This report is currently the only primary source of information on the event, and there are no follow-up reports yet.
AI overview of reporting · Updated 2 h前
Reporting timeline
Explore different aspects of the story through its reporting.
- AWS Machine Learning BlogBuild a semantic layer for agentic AI with EDB Postgres AI and Amazon Bedrock AgentCore
The AWS Machine Learning Blog shows how to build a semantic layer for agentic AI with EDB Postgres AI and Amazon Bedrock AgentCore: the AIDB extension embeds a semantic knowledge base (SemKB) into operational Postgres databases, governs it through COMMENT statements, foreign key join graphs, GRANT and row-level security, and registers it with the AgentCore Gateway via a built-in MCP endpoint.
Story heat trend
Current heat9·Comparable peak10（11/4 01:00）·Comparable change over 24 hours –
The trend compares the same continuously observed sources, which may cover fewer sources than the current heat score. Hover or select the chart to inspect each hour; use the left and right arrow keys to navigate.