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Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore | Amazon Web Services
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). We use AgentCore here because it bundles inbound auth, hosting, and tool credentials into one managed service.
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aws.amazon.com
Build an AI-powered AWS support companion with Amazon Bedrock AgentCore | Amazon Web Services
In this post, you build an AWS Support Companion using Amazon Bedrock AgentCore. The agent uses Strands Agents as the orchestration framework and connects to AWS services through…
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yourstory.com
Building production agents using AWS’s open source Strands Agents SDK
At DevSparks Bengaluru 2026, AWS Developer Advocate Ashita Prasad walked developers through building a fully functional, production-ready AI agent from scratch using Strands…
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Build a semantic layer for agentic AI on AWS with Stardog and Amazon Bedrock AgentCore | Amazon Web Services
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…