Check out our on-demand library of content to learn more about graph technology, get a deeper understanding of use cases, and more - all at your convenience!
Nyah Macklin, a Senior Developer Advocate for AI at Neo4j, will show you how to engineer context effectively for AI applications. You’ll explore multiple context management approaches—including prompt management, retrieval-augmented generation (RAG), and knowledge graphs—and learn how to use Neo4j...
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.
Join us for a 30 minute session that will explore effective context engineering techniques and show you how to provide the foundational context AI needs to be trustworthy and impactful.
Join us for a 45-min session that will show you how to turn enterprise data into reliable, actionable insights using knowledge-graph-powered GenAI.
Join us for a 30-minute rundown on how to use the open-source MCP for Neo4j to improve AI reasoning, so it can assist in graph data modeling.
Get a 30-minute overview of Aura Agent. Learn how to easily and quickly build AI agents grounded in enterprise data due to a knowledge graph.
Join us for a 30-minute primer on how to unify your customer data into a 360-view with a knowledge graph. Learn how to get real-time insights to personalize and optimize customer experiences.
Join us to learn how to improve Agentic AI’s reasoning and decision-making abilities using a graph database.
