Neo4j Live: From Language to Logic - Why Graph AI Succeeds Where LLMs Fail
19 attendees from 22 groups hosting
Hosted by Graph Database - Pacific Northwest
Details
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
AI summary
By Meetup
Neo4j Live session for AI/ML practitioners; explore Graph AI vs LLMs; outcome: how knowledge graphs enable traceable, grounded AI for regulated decisions.
AI summary
By Meetup
Neo4j Live session for AI/ML practitioners; explore Graph AI vs LLMs; outcome: how knowledge graphs enable traceable, grounded AI for regulated decisions.




