GenAI Can’t Afford to Be 10% Wrong—Graph RAG Might Just Fix That

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You’re invited!

Wednesday, April 2, 2025
3:00 PM ET (12:00 AM PT) | 60 mins

Large Language Models are impressive—until they confidently hallucinate facts that don’t exist. While Retrieval-Augmented Generation (RAG) helps, it still struggles to clear the 90% accuracy mark.

That’s where Graph RAG enters the scene.

By enriching LLM outputs with contextual knowledge graphs, organizations are seeing accuracy shoot up to 98–99%. That's not just a step forward—it’s a leap past hallucination into usable, reliable intelligence.

Eric Kavanagh (The Bloor Group), Philip Rathle (Neo4j), and Jon Brewton (data²) unpack what makes Graph RAG a critical evolution in trustworthy AI. Expect sharp insights, practical examples, and a few well-placed jokes.

Because let’s face it—what part of your business can afford to be wrong 10% of the time?