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.

See All Articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See All Articles

Philip Rathle

Chief Technology Officer, Neo4j

See All Articles

Most Recent

Jim Webber with Asurion’s Julie Fisher on Her Singular Path to Graph

Photo by Daniel Lloyd Blunk-Fernández on Unsplash

Diversify Your Stock Portfolio with Graph Analytics

Discover Aura Free: Week 10 – Getting Dumps and Example Projects into Aura Free

Combining Knowledge Graph and Graph Algorithms to Find Hidden Skills at NASA

Learn More About Neo4j

It’s Officially Fall: Let’s Catch Up on What You Missed This Summer

Developer

Connecting to Neo4j from Microsoft Power BI Using ODBC

Exploring the Pandora Papers with Neo4j

Exploring the Pandora Papers with Neo4j

Let’s Write a Stored Procedure in Neo4j – Part I

Approximate Maximum K-Cut with Neo4j Graph Data Science

AFNOR and the Innovation Lab

Graph Data Science

Stéphane Delysee: How AFNOR Found Success with Neo4j’s Innovation Lab

Q3 News Coverage

GenAI
News

Neo4j in the News – End of Summer Edition: Explainable AI, Democratizing Coding, and Space Junk

AuraDB

The Journey to Cloud: Implementing AuraDB at Boston Scientific