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

Check out this list of all the biggest Neo4j graph database news stories from the past year.

A Year in Review: Neo4j’s Top 9 Biggest News & Announcements of 2020

Check out 11 Neo4j blogs from 2020 on topics including FinCEN files, COVID-19 graphs and AI/ML.

News

11 Awesome Neo4j Blogs from 2020

Explore the best Neo4j webinars from 2020, covering graph topics like AI, fraud detection and more.

The Top 7 Neo4j Webinars of 2020

Learn how to make very large updates in Neo4j.

Best Practices to Make (Very) Large Updates in Neo4j

Get 10 project tips to drive your graph data science project to its production.

Graph Data Science

10 Tips for a Successful Graph Data Science Project

Graph Data Platforms: A Brief Introduction

Graph Data Science

Capgemini’s UK Graph Guild: 5-Minute Interview with Calum Chalmers

Graph Algorithms for Community Detection & Recommendations

Achieving a positive effect on payments, Transaction Monitoring and OPEX simultaneously is impossible without graph technology.

Financial Services: The Next Evolutionary Step Is Graph Technology

Peformance tuning and troubleshooting the Neo4j BI Connector

Graph Data Science

The Neo4j BI Connector: Performance

Catch this week's GraphCast: a chat with Emil Eifrem about the future of graph database technology.

#GraphCast: The Emil Update

Learn more about graph data science.

Evolving Your Application of GDS Technology