On-demand library

Join us for a fireside chat with researchers from the UK National Innovation Centre for Data on how GraphRAG improves AI accuracy, helping organizations build AI systems they can trust.

Learn how to transform Karpathy’s LLM Wiki into a production-ready knowledge layer with Neo4j, built for accurate, explainable AI retrieval.

Join Neo4j and IndyKite for a fireside chat on how enterprises can overcome data, identity, governance, and operational challenges to scale trustworthy AI to production.

Join our webinar to learn how context graphs help you transform AI agent memory into reusable skills and enterprise-grade governance.

On July 30, we’ll unpack the technical trends from the AI Engineer World’s Fair and explore where AI is headed over the next six months.

On July 21, learn how business leaders can benefit from implementing a knowledge layer with Neo4j. Get trustworthy AI that makes it to production.

On July 9, hear how Infinitus uses Neo4j as a knowledge graph to power real-time healthcare intelligence and decision workflows.

Join us on June 25 for an engineering-focused look at building an ontology-driven semantic layer on Neo4j. See how to create consistent, AI-ready data systems.

Sebbene la GenAI offra un enorme potenziale, presenta sfide come allucinazioni e conoscenza limitata del dominio. Il Graph-powered Retrieval Augmented Generation (GraphRAG) aiuta a superare questi ostacoli integrando la ricerca vettoriale con i knowledge graph e le tecniche di data...