AI and Database Technology
Build a semantic layer for agentic AI with EDB Postgres AI and Amazon Bedrock AgentCore
According to AWS. Learn how to build a semantic layer for agentic AI using EDB Postgres AI alongside Amazon Bedrock AgentCore.
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KEY TAKEAWAYS
- • EDB Postgres AI hosts the semantic layer directly inside the operational Postgres database using an AIDB extension.
- • Amazon Bedrock AgentCore provides the agent runtime, gateway authorization, and identity credential management.
- • Business definitions and join graphs leverage standard Postgres COMMENT statements and foreign keys.
Architecture Overview
The publication demonstrates how to build a semantic layer for agentic AI using EDB Postgres AI. A Strands Agents agent runs on Amazon Bedrock AgentCore and queries the semantic layer to answer customer 360 questions from live operational data.
Semantic Layer Implementation
EDB Postgres AI places the semantic layer directly inside the operational Postgres database as an AIDB extension. Business meaning resides next to the data in standard Postgres COMMENT statements, while join graphs derive from Postgres foreign keys.
SOURCES & METHODOLOGY
- 1. aws.amazon.comOpen source