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AWS and Stardog announced a solution to build a semantic layer for agentic AI on Amazon Bedrock AgentCore, allowing MENA enterprises to query multiple databases (Aurora and Redshift) without ETL, accelerating customer 360 analytics.

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Build a Semantic Layer for Agentic AI on AWS with Stardog and Amazon Bedrock AgentCore

Overview

FAQ

What is a semantic layer for agentic AI?

It is a middleware layer that allows AI agents to understand and query data from multiple sources (like databases) in natural language without data movement.

How does this solution work on AWS?

It uses Stardog Semantic AI Application on Amazon Aurora and Redshift, then runs a Strands Agents agent on Amazon Bedrock AgentCore, which routes queries to the semantic layer.

Is this solution suitable for MENA enterprises?

Yes, especially for enterprises managing multiple databases (e.g., Aurora and Redshift) that want to accelerate customer 360 analytics without ETL complexity.

Source: AWS Machine Learning

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