On-demand library

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...

On June 4, we’ll share how to design stateful, production-ready agents by integrating context graphs and persistent memory.

Aunque GenAI ofrece un enorme potencial, presenta retos como las alucinaciones y un conocimiento limitado del dominio. El GraphRAG (Graph-powered Retrieval Augmented Generation) ayuda a superar estos obstáculos al integrar la búsqueda vectorial con grafos de conocimiento y técnicas de...

Join us on May 28 to learn how to design architectures that combine LLMs, vector search, and knowledge graphs — enabling reliable, explainable AI agents.

Join Neo4j and JupiterOne on May 21 for a fireside chat on how leaders are taking a graph-based approach to strengthen cyber resilience, improve enterprise-wide visibility, and make more informed decisions with connected data.

Join us on May 7 to learn how to design AI agents that perform reliably in production. Discover practical patterns for building agent workflows and avoid common failure modes.

Join us on April 30 to learn how context graphs enable more reliable and scalable autonomous agents. Discover how Electronic Arts achieved 10× faster time-to-insight with a modern data architecture approach.

Join us on April 23 to learn how to design graph-powered RAG systems that turn retrieval prototypes into production-ready AI.