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

AWS Machine Learning · 6 days ago

AWS and Stardog demonstrated building a semantic layer for agentic AI by connecting Amazon Aurora and Amazon Redshift through a federated knowledge graph that enables agents running on Amazon Bedrock AgentCore to answer cross-database questions without ETL pipelines. The solution uses an ontology-driven knowledge graph with virtual graphs mapping to live data sources, allowing the foundation model to compose answers across fragmented enterprise data while maintaining business logic rules and access controls. By separating the model layer, meaning layer, and agent runtime layer, organizations can enable AI agents to reason over enterprise data with the same fluency as senior analysts without duplicating business definitions across multiple systems.