# AWS blog shows how to build agentic AI semantic layer with EDB Postgres AI

Digest AI · Enterprise & Industry · published 2026-11-03T16:41:13Z

Canonical: https://digestai.news/story/aws-blog-shows-how-to-build-agentic-ai-semantic-layer-with-edb-postgre

## Summary

An AWS Machine Learning Blog post details a technical architecture for building a semantic layer for agentic AI using EDB Postgres AI and Amazon Bedrock AgentCore. The guide demonstrates how to embed business meaning directly into an operational Postgres database using standard COMMENT statements and foreign keys, rather than relying on external knowledge graphs or data virtualization platforms.

The solution uses a Strands Agents agent running on Amazon Bedrock AgentCore to answer customer 360 questions. By leveraging the Model Context Protocol (MCP) endpoint built into EDB Postgres AI, the agent can query the database while respecting Postgres-native governance controls. The post highlights that access is enforced through standard Postgres GRANT statements and row-level security, ensuring that different user roles receive different data results based on their permissions.

Key components include a semantic knowledge base (SemKB) that indexes schema definitions for natural language search, and OpenTelemetry traces stored as rows in the database for auditability. This approach eliminates the need for separate catalog synchronization or Lambda functions, keeping the semantic layer co-located with the data for improved performance and security.

## Key points

- EDB Postgres AI embeds semantic layers directly in Postgres using COMMENT statements and foreign keys.
- Amazon Bedrock AgentCore connects to the database via the Model Context Protocol (MCP) endpoint.
- Access control relies on standard Postgres GRANT statements and row-level security policies.

## Why it matters

This architecture simplifies agentic AI deployment by removing external semantic layers, reducing infrastructure complexity and ensuring data governance is enforced at the database level rather than through application logic.

## Sources

1. [Build a semantic layer for agentic AI with EDB Postgres AI and Amazon Bedrock AgentCore](https://aws.amazon.com/blogs/machine-learning/build-a-semantic-layer-for-agentic-ai-with-edb-postgres-ai-and-amazon-bedrock-agentcore) (AWS Machine Learning Blog, 2026-11-03, primary source)

## Cite

Digest AI, "AWS blog shows how to build agentic AI semantic layer with EDB Postgres AI", 3 November 2026, https://digestai.news/story/aws-blog-shows-how-to-build-agentic-ai-semantic-layer-with-edb-postgre

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