Neo4j Webinars

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

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

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

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 11, join Neo4j and Arhasi for a fireside chat on how organizations are moving AI from pilot to production. Learn how leaders overcome integration, trust, and scalability challenges to deliver real business impact.

On June 11, join Neo4j and Arhasi for a fireside chat on how organizations are moving AI from pilot to production. Learn how leaders overcome integration, trust, and scalability challenges to deliver real business impact.

On June 11, join Neo4j and Arhasi for a fireside chat on how organizations are moving AI from pilot to production. Learn how leaders overcome integration, trust, and scalability challenges to deliver real business impact.

This foundational course takes you from the basics of Graph Data Science (GDS) to independent algorithm work. You’ll learn the fundamentals: what graph data science is, how to create projections for different analytical questions, how to choose and configure algorithms,...

AI agents are only as smart as the data they can reason over — and standard RAG isn’t enough. In this 45-minute session, Neo4j and Databricks come together to show how GraphRAG closes the gap, connecting the richness of your...