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.

Illustration of how a supplier graph connectes materials, routes, and contracts

What’s invisible in your supply chain could cost you

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

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

APRA Just Put the Financial Sector on Notice Over AI. Government Agencies Need to Take Notes.

APRA Just Put the Financial Sector on Notice Over AI. Government Agencies Need to Take Notes.

US government building

From Data Chaos to Clarity: How Connected Data Can Improve US Government Decision-Making

Learn how MITRE uses Neo4j to improve cybersecurity.

Graphs in Government: MITRE

Learn How the Veneto Banca Team Uses Neo4j to Manage a Multi-Channel Architecture of Microservices

How We Use Neo4j to Manage Microservices at Veneto Banca

Check out this infographic on the benefits of using graph technology to power real-time recommendations.

Real-Time Recommendations

How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]

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

DevSecOps With Graph for Valuable Insights

News

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

Security

Use Sentiment Analysis to Understand Risk Appetite

How Graph-Powered Supply Chain Improves Sustainability

Government

The Most Powerful Fraud Prevention Tool for Federal Agencies: Graph Technology