The surge of Large Language Models continues to reshape traditional business processes, offering great promise for automating previously challenging, time-intensive creative activities. But what part of your business can be wrong 20% of the time? The hard truth right now is that accuracy is the Achilles’ heel of GenAI.

Enter, Graph RAG! While Retrieval-Augmented Generation can improve the integrity of LLM outputs somewhat, it still has difficulty getting over 90%. So, what part of your business can be wrong 10% of the time? Probably not much, which is where Graph comes into the picture. When deployed properly, Graph RAG can crank up accuracy levels to 98, even 99%. Now, we’re getting somewhere!

Register for this Briefing Room Webinar to hear Bloor Group CEO Eric Kavanagh explain why Graph RAG is the missing link for GenAI. He’ll be joined by Philip Rathle, CTO of Neo4j, and Jon Brewton, CEO and Co-Founder of data², who will each give detailed presentations about how Graph RAG delivers much richer, and significantly more accurate outputs from any LLM. They’ll explain how your organization can minimize, even eliminate hallucinations, thus opening the door for a wave of AI innovation.