Enterprise organizations are turning to AI to solve problems and improve core processes such as fraud detection, real time logistics, and supply chain management. Knowledge graphs reveal hidden insights from data connections relationships across your organization enabling AI to deliver more accurate, relevant, and explainable results. Come and hear about how Neo4j and Microsoft are shaping the future of Agentic AI.
Join Microsoft and Neo4j on March 19, 2026 for a half-day, hands-on Neo4j GraphLabs experience where you’ll learn how to build production-ready, graph-powered GenAI applications—without writing a single line of code. Designed for data scientists and engineers, this interactive lab will guide you through deploying Neo4j on Azure and using Microsoft Foundry to create AI agents, GraphRAG pipelines, and advanced graph-enhanced search solutions. Wrap up the afternoon with networking, drinks, and light bites alongside fellow AI innovators.
Dedicated to the future of AI with graphs, NODES AI is an online conference with three tracks focused on Knowledge Graphs & GraphRAG, Graph Memory & Agents, and Graph + AI in Production.
Join us on April 15, 2026 for live technical sessions and hands-on learning from leading experts and practitioners who are shaping what’s next.
AI startups are building with graph databases because AI needs well-managed context, not incoherent collections of data and tools. We’re investing in the future of AI with the Neo4j Startup Program, giving you the resources to build explainable, scalable, and production-ready applications.
Apply now for up to $16,000 in free Aura credits to use on our fully-managed cloud offering, technical consultations with graph experts, and go-to-market opportunities.
In this hands-on guide, Neo4j’s Jesús Barrasa and Jim Webber show data scientists and engineers how to build and apply knowledge graphs to solve today’s most complex knowledge management challenges. Through practical examples and common design patterns, readers learn how to create knowledge graphs that grow in value with more data, enhanced by algorithms and machine learning for deeper insight and intelligence.

