
For enterprises to confidently adopt Large Language Models (LLMs), results need to reference factual data consistently, ensuring context, accuracy, and explainability in every outcome.
Join us for a complimentary hands-on lab, tailored for Senior Developers, Analytics Engineers, Data Engineers, Data Scientists and Architects, where we will explore how you can supercharge your GraphRAG GenAI Applications using Neo4j and Google Gemini, so you can utilize LLMs with confidence.
You will learn:
Requirements:
Space is limited so register today to secure your seat!
Note: Please note that this workshop is a catered event.

Emil Pastor
Solution Architect Lead, Neo4j

Ezhil Vendhan
Senior Cloud Partner Architect, Neo4j

Darren Wood
Senior Sales Engineer, Neo4j

Ben Lumley
Senior Sales Engineer, Neo4j

John Whyte
Head of Data Analytics Partnerships AUNZ, Google Cloud