GraphRAG in action: Building smarter AI agents with Neo4j and Databricks

AI agents are only as smart as the data they can reason over — and standard RAG isn’t enough. In this 45-minute session, Neo4j and Databricks come together to show how GraphRAG closes the gap, connecting the richness of your Lakehouse data with the contextual power of a knowledge graph to deliver AI agents that actually understand your business. You’ll see GraphRAG in action through a live demo, walk away with a clear picture of how the two platforms work together, and leave with resources to get started with graph enrichment in your own data pipelines. You’ll learn:

• Why GraphRAG outperforms traditional RAG for complex enterprise AI
• How Neo4j and Databricks combine to power AI agents at scale
• A practical architecture for graph-enriching your Lakehouse data
• Real examples of GraphRAG applied to enterprise AI workflows

Who should attend: Data and AI engineers, architects, and business leaders exploring the next frontier of enterprise AI.