AI agents can only be as accurate as the context they work from. Without a shared model of the business, agents guess what entities and relationships mean, and their answers become inconsistent or wrong. That means lower trust in AI, stalled pilots, and wasted time.

Many teams know that building an ontology is the answer. But ontologies are hard to build, harder to keep current, and there’s no clear standard to follow. 

Join Jesús Barrasa, Field CTO, GenAI, and Andreas Kollegger, Director, Developer Advocacy, for a technical fireside chat on how Neo4j Context Engine solves these problems. We’ll walk through Context Engine’s six-layer graph ontology, our proposed standard for giving AI durable shared context.

You’ll learn:

• Why ontologies are hard to build and keep current
• What Context Engine is and why it helps
• How the six-layer graph ontology is structured

Don’t miss this chance to see how Context Engine gives AI the context it needs. Register today.