Neo4j blog

Welcome, GraphAware

Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

Context graphs: Why AI agents need three types of memory

Introducing Neo4j Virtual Graph: Graph reasoning on the data you already have

Featured voices

Emil Eifrem

CEO & Founder, Neo4j

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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

3 of 3: The graph ecosystem: Bringing connected context to enterprise AI

Read this 5-minute interview with Clayton Ching of Digitate to learn about AI and graph databases.

Enterprise AI for IT Ops: 5-minute interview with Clayton Ching, Global Head of Customer Success at Digitate

Read this in-depth presentation on knowledge graphs and the path to enterprise AI from GraphConnect.

Knowledge graphs: The path to enterprise AI

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

AuraDB

Neo4j AuraDB Enterprise now available on Microsoft Azure

AuraDB

Neo4j AuraDB Enterprise early access program now available on Microsoft Azure

Watch Michael Moore and Omar Azhar's presentation on transforming the enterprise AI at scale with Neo4j

Transforming the enterprise: AI at scale with Neo4j

News

Sustainable competitive advantage: Enterprises unlock business value in their data relationships

Supply chains don’t fail at the node. They fail at the connection.

Developer

Neo4j Kubernetes Operator: A declarative way to run Neo4j Enterprise

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