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.

Agent Memory

A Knowledge Layer For Your Agentic Systems on Google Cloud

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

iscover the best tool for context engineering and build agentic AI with MCP, knowledge graphs, GraphRAG, and practical evaluation and tracing.

Agentic AI

Best Tools for Context Engineering in Agentic AI Systems

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

Bringing Sustainability Science to Life: 5-Minute Interview with Carina Johed

Learn about Neo4j Aura on Google Cloud Platform.

Announcing Neo4j AuraDB on Google Cloud Platform

Combating Money Laundering: AML Compliance Program Design

Watch this video on Neo4j Sandbox.

#GraphCast: Neo4j Sandbox Quick Start Guide for Summer of Nodes

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