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

News

Reflections on the 2025 Gartner® Cloud DBMS Magic Quadrant™ and the Future of AI-Ready Data

Managing Risk in a Manufacturing Plant With Neo4j Aura Graph Analytics

News

Neo4j Desktop 2.0 Reimagines the Local Developer Experience

Graph Data Science

Graphs4APAC: Enabling, Empowering & Engaging Professionals in APAC

Developer

Creating the Magic Remote Control

Neo4j Recognized for the First Time in the 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems

Stay agile with graph by shifting left and designing consistent architecture that eliminates migrations.

Being in Control and Staying Agile with Graph Requires Shifting Left at ING

Learn how Previa is using Neo4j to reimagine health care.

How Previa Is Reimagining Healthcare

The Future of the Intelligent Application: Business Agility

Learn how Convergys uses Neo4j for GDPR.

Leveraging Graphs for GDPR at Convergys

Watch Paul Starrett's presentation on how to create a searchable database with Neo4j to uncover fraud.

Leveraging Data Science Tools for Fraud Investigation

Check out this 5-minute interview with Frederick Kagan, Director of the Critical Threats Project.

Agile Open Source Intelligence: 5-Minute Interview with Frederick Kagan