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.

Secure your place today

Can’t attend live? Register anyway and we’ll send you the recording after the session.