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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Most Recent

Get a glance of the system architecture of the eBay App for Google Assistant

The eBay App for Google Assistant: Graph-Powered Conversational Commerce

Learn how Ajinkya Kale, Senior Applied Researcher at eBay's New Product Development Group, uses Neo4j.

Machine Learning on Graphs: 5-Minute Interview with Ajinkya Kale, Senior Applied Researcher at eBay

Learn how connections unlock business value in this blog series on the ROI of connected data

Graph Data Science

The ROI on Connected Data: How Connections Unlock Business Value [feat. eBay]

Learn How eBay Achieved Competitive Advantage in the Same-Time Delivery Space by Using Neo4j

Supply Chain & Logistics

eBay’s Competitive Advantage in Same-Day Delivery Using Neo4j

Graph Database

eBay to Present at GraphConnect 2014 SF

Graph Databases for Beginners: Why Graph Technology Is the Future

Knowledge Graphs

How Knowledge Graphs Drive More Sales With Real-Time Recommendation Engines

News

Nominate Your Fave Graph Superstar for a Graphie Award

Emil Eifrem BizTech Interview

Emil Eifrem

Emil Eifrem on Neo4j’s Rise, Rapid Growth in APAC, and the Thrill of Competition

Real-Time Recommendations

Top 10 Use Cases: Real-Time Recommendations

Graph Data Platforms: A Brief Introduction

Graph-Powered Recommendations: Developing and Deploying Recommendations