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

Knowledge graph

Taxonomy vs. ontology vs. knowledge graph: What’s the difference?

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

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

Learn more about how the GRANDstack makes handling complex data easy.

How the GRANDstack makes handling complex data easy

Check out the winners of this year's Neo4j Graphies.

Announcing the 2020 Neo4j Graphie Award winners

Security

The Neo4j BI Connector: Security