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

The Future of the Intelligent Application: Why Graph Technology Is Key

Graph Database

This Week in Neo4j – Reducing visualization complexity, BloodHound 3.0, Gene Regulation Graph Database, Pokemon Day, 4.0 Webinar, GraphTour Europe developer campfire talks

Relationships Mean Retention: The 5-Minute Interview with Realogy’s Neerav Vyas

Learn about performant queries on highly connected data.

Performant Queries on Highly Connected, Growing Data

Graphs are everywhere, including Pokémon.

Pokégraph: Gotta Graph ‘Em All!

Learn about sharding the LBDC social network.

Sharding the LDBC Social Network

Watch this quick demo of migrating from Neo4j 3.5 to 4.0.

Cypher & GQL

#GraphCast: Migrating from Neo4j 3.5 to 4.0

Learn about ontologies in Neo4j.

Ontologies in Neo4j: Semantics and Knowledge Graphs

Neo4j 4.0 Security Rocks: The 5-Minute Interview with Michal Bachman, CEO, GraphAware

Learn how to use Neo4j in business process modeling scenarios.

Part 1: Using Neo4j in Business Process Modeling Scenarios

Learn how Nordstorm used Neo4j to personlize recommendations.

Personalized Product Recommendations at Nordstrom

Get down into the details of important data from the web with Norconex and Neo4j.

Importing Data from the Web with Norconex & Neo4j