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

Catch this week's GraphCast: Graphs Eat Complexity for Breakfast

Graph Database

#GraphCast: Graphs Eat Complexity for Breakfast

Welcoming Nathalie Kornhoff-Brüls

News

Please Welcome Nathalie Kornhoff-Brüls of Eurazeo to the Neo4j Board

Developer

First Proof of “Six Degrees Of Separation”

AuraDB

AuraDB Enterprise Now on AWS: Bringing the Leading Graph Platform to the Leading Cloud Platform

Create a TypeScript Apollo Server and Live Database with Unit Tests

Developer

Getting Started with :PLAY Movies

Cypher Sleuthing: Dealing with Dates, Part 4

Emil Eifrem BizTech Interview

Emil Eifrem

Emil Eifrem on Neo4j’s Rise, Rapid Growth in APAC, and the Thrill of Competition

Your In-Depth Guide to Neo4j GraphQL Library 2.0.0

Resotrack: Exploring the Resonate API with Django-Neomodel on Aura

Will It Graph? Part 3

Developer

Will It Graph? Identifying A Good Fit For Graph Databases – Part 3

Achieving Liftoff: Reflections of Six Amazing Months in Graph Databases

News

Achieving Liftoff: Reflections on Six Amazing Months in Graph Databases