AI Learning Resources.com
Back to News Hub
🟧AWS Machine Learning
July 10, 2026
E-Commerce

Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore

Overview

In this post we show how to build a semantic layer on AWS using Stardog's Semantic AI Application over Amazon Aurora and Amazon Redshift, and how to run a Strands Agents agent on Amazon Bedrock AgentCore that queries the layer to answer customer 360 questions across both sources without extract, transform, and load (ETL). The same Stardog deployment works behind AWS computes (Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), and AWS Lambda).

Stats & Key Facts

  • #In this post we show how to build a semantic layer on AWS using Stardog's Semantic AI Application over Amazon Aurora and Amazon Redshift, and how to run a Strands Agents agent on Amazon Bedrock AgentCore that queries the layer to answer customer 360 questions across both sources without extract, transform, and load (ETL).
Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore

Continue Learning

Use Cases
AI Case Studies
Use Cases
AI for Customer Service
Business & Strategy
Business & Financial Impact of AI
Originally published by AWS Machine Learning
Read the original

Comments

Sign in to join the conversation