On-Demand Library

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.

Join us on April 7 to learn how neo4j-agent-memory enables you to build context graphs that give your production AI agents persistent, graph-connected memory.

Join us for an introduction to graph-powered financial crime detection. Learn practical strategies for building a Transaction Graph to uncover coordinated fraud, trace hidden fund flows, and deliver more accurate, relationship-aware detection.

Join us on March 24 and learn how context graphs, or “living graphs,” enable agents to search for precedents by linking decisions, constraints, tool calls, and outcomes.

Join us for a 30-minute session on how domain modelling and ontology integration come together in graph schema design. Learn how to build scalable, semantically rich, and AI-ready data foundations that reflect the real world.

Join us on February 26 to learn how context engineering and knowledge graphs power GraphRAG to boost AI accuracy up to 3x. Discover how connected data can improve explainability, reliability, and production-readiness.

Join us for an introduction to GraphRAG and learn practical tips for building knowledge graphs that empower your GenAI and agentic apps to return more accurate, trustworthy, and business-relevant outcomes.