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.

Visualization of how Neo4j Graph Intelligence reveals hidden patterns in massive datasets

How Graph Intelligence Drives Breakthroughs in Science and Society

iscover the best tool for context engineering and build agentic AI with MCP, knowledge graphs, GraphRAG, and practical evaluation and tracing.

Agentic AI

Best Tools for Context Engineering in Agentic AI Systems

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

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

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

Developer

Deploying Neo4j on Kubernetes with Helm Charts

Announcing the Release of Neo4j GraphQL Library 2.0.0