Neo4j Blog

From data to intelligence: Why every enterprise needs an AI knowledge layer

The knowledge layer maps and resolves data so AI can accurately answer questions, make better decisions, and be explainable.

Illustration of how a supplier graph connectes materials, routes, and contracts

What’s invisible in your supply chain could cost you

Agentic AI

Agent tools: What they are, how they work, and how AI agents use them

Agent Memory

A knowledge layer for your agentic systems on Google Cloud

Featured Voices

Emil Eifrem

CEO & Co-Founder, Neo4j, Inc.

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Sudhir Hasbe

Chief Product Officer, Neo4j

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Philip Rathle

Chief Technology Officer, Neo4j

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Most Recent

Check out this Q&A with the author of Graph-Powered Machine Learning.

Machine Learning

5-Minute Interview: Graph-Powered Machine Learning with Dr. Alessandro Negro

Learn how to monitor Neo4j servers and clusters.

Monitoring Neo4j Servers and Clusters

Combating Money Laundering: Graph Tech Fights Serious Crimes

Machine Learning

Easy Explainability: 5-Minute Interview with Calin Constantinov

Get these 7 quick tips to get more from the GDS library.

7 Quick Tips to Get More from the GDS Library [Tip Sheet]

Learn how to build a graph history with The Codex.

Building a Graph of History with The Codex

This GraphCast, “How to Solve a Crime with Graph Theory,” is a basic explainer of graph theory.

#GraphCast: How to Solve a Crime with Graph Theory

Graph Visualization

Neo4j Bloom Tips and Tricks for Domain Knowledge Experts

Learn what's new and exciting with the Neo4j Partner Program.

News

Introducing Neo4j Partner Program: An Interview with Matt Connon

Exploring Drug Interactions: 5-Minute Interview with Amin Jalali

Learn how EY used Neo4j to design enterprise HR applications at scale.

Designing the Enterprise: HR Applications at Scale

Learn how graph technology improve the KYC process.

From Know Your Customer to Know Your Network: A Paradigm Shift Empowered by Neo4j