Explore our event offerings for live and on-demand local, global, and digital events.
Check out our on-demand library of content to learn more about graph technology, get a deeper understanding of use cases, and more.
Join us on November 12 for a virtual conference dedicated to Engineering Better Intelligence. We'll explore modern applications, multi-agent workflows, and context-rich systems.
Discover how to make your data AI-ready with Neo4j’s graph platform and build next-gen AI systems that are dynamic and explainable with GraphRAG.
NeoArbi uses Neo4j and AI agents to power a real-time crypto intelligence platform – covering arbitrage detection, market insights, blockchain forensics and regulatory analysis.
You’ll learn the fundamentals of GenAI, explore how Neo4j and knowledge graphs enhance AI-driven applications, and see how GraphRAG improves accuracy and explainability over standard RAG. Through practical exercises, you’ll build your own conversational agent using Neo4j, Python, and LangChain. ...
Neo4j is sponsoring a two-day industry forum taking place on May 21-22, 2026 in Munich, Germany, gathering senior leaders, data scientists, AI experts, and digital innovators from the manufacturing sector.
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 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 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.
Build with AI by TensorFlow User Group Ghaziabad is a hands-on developer-focused event series organized in collaboration with Google for Developers, aimed at empowering developers, students, and AI enthusiasts to learn, build, and deploy real-world AI solutions using modern technologies...
Production RAG runs into the same walls: re-chunking and re-embedding on every knowledge update, embedding models that miss semantic nuance, and recursive retrieval that gets expensive fast (have you seen Claude Code?).
Join us for a hands-on introduction to Generative AI with Neo4j at 42 Berlin. Large language models are powerful — but without structure, they lose context fast.
