Graph Database - Amsterdam

We’re bringing back Discover Neo4j AuraDB to showcase all the powerful new features added to Aura! Whether you're a longtime user or just getting started, join us to see what’s new, how Aura makes graph databases easier than ever, and why now is the perfect time to try it out.

Micheal Hunger: https://bsky.app/profile/mesirii.de
Neo4j AuraDB: https://dev.neo4j.com/discover-aura
Neo4j GraphAcademy: https://dev.neo4j.com/learn
All previous episodes: https://neo4j.com/video/discover-aura-free-with-fun-datasets/

In this Neo4j Live session, we explore why Graph AI succeeds where LLMs fail. You’ll learn how knowledge graph–powered systems deliver significantly higher accuracy by explicitly modeling relationships, enabling traceable reasoning, and grounding AI in structured intelligence. This is the difference between fluent language and reliable logic - critical for use cases like regulatory compliance, financial analysis, and operational decision-making. If you’re thinking beyond text generation and toward AI that can reason, connect, and scale with confidence, this session will show you the path forward.

Guest: Matthias Buchhorn-Roth
LinkedIn: https://www.linkedin.com/in/mbuchhorn/
Github: https://github.com/ma3u