In this insightful session, Jim Thornton and Luis Medina will share insights from the frontlines of AI innovation, exploring how Large Language Models (LLMs) and knowledge graphs can work together to enable new forms of intelligent automation. You will learn about hard-earned unique strengths and challenges of different approaches, and how their complementary natures can be harnessed to create virtuous cycles of knowledge acquisition, reasoning, and application.

Jim will also share three real-world case studies and architectural patterns, as well as sample prompts and outputs, so you can get a strong sense of how to approach self-improving systems thinking.

Get certified with GraphAcademy: https://dev.neo4j.com/learngraph
Neo4j AuraDB https://dev.neo4j.com/auradb
Knowledge Graph Builder https://dev.neo4j.com/KGBuilder
Neo4j GenAI https://dev.neo4j.com/graphrag