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

Discover how NASA uses Neo4j to build a knowledge graph.

Graphs in Government: A NASA Knowledge Graph

Discover how Lockheed Martin Space uses graph technology

Graphs in Government: Lockheed Martin Space

Learn how MITRE uses Neo4j to improve cybersecurity.

Graphs in Government: MITRE

Learn how In-Q-Tel using Neo4j to bring tech innovation to intelligence agencies.

Government

Graphs in Government: How In-Q-Tel Brings Tech Innovation to Intelligence Agencies

Learn how the U.S. Army uses graph technology.

Graphs in Government: The U.S. Army

Learn more about graph technology is used in government agencies.

Graphs in Government: The Power of Graph Technology

Discover how graph technology is being used in government.

Graphs in Government: Introduction to Graph Technology

Catch this week’s 5-Minute Interview with Chuck Kane, Director of Global Solutions at Pitney Bowes

The 5-Minute Interview: Chuck Kane, Director of Global Solutions at Pitney Bowes

Graph Database

Connected Intelligence: Scaling Graph-Powered Reasoning Across the AI Ecosystem

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How Graph and AI Take Us from Dashboards to Continuous Decisions

News

Neo4j Earns New AWS Competencies and Expands Innovation Ahead of AWS re:Invent

Security

Use Sentiment Analysis to Understand Risk Appetite