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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.
Learn how a knowledge layer gives enterprise AI the context, memory, and reasoning it needs to go from pilot to production.
Join us for an exclusive, hands-on experience designed for developers, architects, and application owners looking to deepen their expertise in Neo4j’s powerful graph technology. This in-person workshop will deepen your expertise in integrating GraphRAG into GenAI solutions—ideal for building systems that prioritize...
This foundational course takes you from the basics of Graph Data Science (GDS) to independent algorithm work.
What changed in this room? Spatial memory for physical AI on a Neo4j graph by Jordi Spranger
MCP Community Connect is a full-day, in-person conference for developers, AI engineers, and platform teams building with the Model Context Protocol.
Learn how to turn semi-structured documents into knowledge graphs. Hear how AI agents can navigate complex information with deterministic graph traversal and GraphRAG workflows.
Building AI that’s accurate, explainable, and grounded in your real enterprise data is harder than it looks. At The AI Conference 2026, we’ll showcase how Neo4j gives AI a knowledge layer: the connected context it needs to reason, connect facts,...
Learn how to turn semi-structured documents into knowledge graphs. Hear how AI agents can navigate complex information with deterministic graph traversal and GraphRAG workflows.
Learn how to turn semi-structured documents into knowledge graphs. Hear how AI agents can navigate complex information with deterministic graph traversal and GraphRAG workflows.
.NET developers building AI agents have felt this gap: Neo4j Agent Memory shipped for Python and TypeScript, but .NET was left bolting things together.