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.

4 min read

Agent tools: What they are, how they work, and how AI agents use them

13 min read
Agent Memory

A knowledge layer for your agentic systems on Google Cloud

4 min read

The data strategy that makes truly personalized customer experiences possible

9 min read

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

Check out this tv show in which they use graph theory to solve crimes.

#GraphCast: Numb3rs and Graph Theory

1 min read
Learn more about Cloud Foundry and Neo4j.

Neo4j and Cloud Foundry

17 min read

Upgrade Your Graph Data Science Library Now (or Miss Out on Cool New Features)

4 min read

Rethink Your Master Data: Addressing Governance, Risk and Compliance

1 min read

The Power of Graph Data Science: 5-Minute Interview with Alicia Frame

7 min read
knowledge-management-solution-model.jpg

Building the Enterprise Knowledge Graph

11 min read
Learn about Drivine, a database client for Node.js and Typescript

Introducing Drivine: Graph Database Client for Node.js and Typescript

11 min read

Rethink Your Master Data: How Graphs and MDM Intersect

1 min read
Catch this week's GraphCast: A high-level explainer of what a native graph database is in 10 minutes

#GraphCast: What Is a Graph Database in 10 Minutes

1 min read
Learn how to get started with Neo4j Fabric.

Getting Started with Neo4j Fabric

7 min read
Discover what makes Neo4j the #1 graph database.

The Secret Sauce of Neo4j: Modeling and Querying Graphs

7 min read

Rethink Your Master Data: The Limits of Relational Databases

2 min read