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.

Visualization of how Neo4j Graph Intelligence reveals hidden patterns in massive datasets

How Graph Intelligence Drives Breakthroughs in Science and Society

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

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

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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DXC Career Navigator: Data Driven Employee Career Development and Engagement

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Graph Data Science

Google Summer of Code for Graph-Based Software Analytics

Catch this week’s 5-Minute Interview with David Ward, CEO and Founder at Telegraph Hill Software

Digital Twin

The 5-Minute Interview: David Brian Ward, CEO & Founder, Telegraph Hill Software

Catch This Week’s 5-Minute Interview with Matthias Sieber, Senior Software Engineer at MediaHound

Cypher & GQL

The 5-Minute Interview: Matthias Sieber, Senior Software Engineer, MediaHound

Learn More about the Graph Visualization Capabilities of Tom Sawyer Perspectives

The Future of Graph Visualization: An Interview with Tom Sawyer Software

Graph Databases and Software Metrics & Analysis

Announcing NODES 2025: Submit Your Talk

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Graph Database

What Is a Database Management System?

What is generative AI?

GenAI

What Is Generative AI?

Developer

Learning Neo4j Your Way

Wardley Mapping With Neo4j