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.

Agentic AI

Agent tools: What they are, how they work, and how AI agents use them

Agent Memory

A knowledge layer for your agentic systems on Google Cloud

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

Learn everything you need to know about Neo4j for Graph Data Science.

Announcing Neo4j for Graph Data Science

Learn about Deep Tensor, a graph AI technologies solution.

Machine Learning

Fujitsu Laboratories of America Partners with Larus to Provide Enhanced Graph AI Technologies to Neo4j Customers

Check out this 5-minute interview about Neo4j Bloom.

Graph Visualization

See Your Graphs in Bloom: The 5-Minute Interview with Anurag Tandon, Neo4j

Detecting Cryptocurrency Fraud with Neo4j

Meet Keith Hare, Neo4j's newest team member.

Q+A with Keith Hare: Newest Neo4j Team Member, Active in the Database Query Standards Process Since 1988

Learn about Graphs4Good GraphHack.

Announcing Graphs4Good GraphHack

Getting Started with the Neo4j BI Connector

The Future of the Intelligent Application: Business Agility

Why Leading Telecoms Use Neo4j: The 5-Minute Interview with Jesús Barrasa, Global Director of Telecoms at Neo4j

Learn more about graphs and machine learning.

Machine Learning Algorithms

The Future of the Intelligent Application: Granular Security

This week's GraphCast features Responsible AI and ethical development and application of technology.

#GraphCast: Responsible AI