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

Learn how to fix your microservices architecture with graph analysis.

Fixing Your Microservices Architecture Using Graph Analysis

Connecting the Molecules: 5-Minute Interview with Matthew Sellwood

See what community partners are looking forward to for NODES 2020.

NODES

How the Global Tech Community Is Coming Together for NODES 2020

Catch this week's GraphCast: FinCEN Files – How Banks Move Dirty Money around the World

#GraphCast: FinCEN Files – How Banks Move Dirty Money Around the World

Learn how Elsevier employs Neo4j for COVID-19 research.

Elsevier Boosts Global COVID-19 Research with Neo4j

Learn about chaos engineering with Neo4j.

NODES

Chaos Engineering with Neo4j

ICIJ used Neo4j to analyze the FinCEN Files data, uncovering a vast network of money laundering.

Analyzing the FinCEN Files with Neo4j

Predicting Fraud: 5-Minute Interview with Marius Hartmann

Check out highlights of Chapter 1.

Graph Data Science

Introducing Graph Databases For Dummies

Discover how to build spatial search algorithms with Neo4j.

Building Spatial Search Algorithms for Neo4j

Combating Money Laundering: Graph Data Visualizations

Check out this interview with Charlie Beveridge of Accenture.

Knowledge Graphs & Navigating the Future of AI: An Interview with Charlie Beveridge of Accenture