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.

Agent Memory

A Knowledge Layer For Your Agentic Systems on Google Cloud

The Data Strategy That Makes Truly Personalized Customer Experiences Possible

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

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

Learn how graph technology improve the KYC process.

From Know Your Customer to Know Your Network: A Paradigm Shift Empowered by Neo4j

Rethink Your Master Data: From MDM to Innovation

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

Graph Data Science

#GraphCast: Numb3rs and Graph Theory

Learn more about Cloud Foundry and Neo4j.

Neo4j and Cloud Foundry

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

Master Data Management

Rethink Your Master Data: Addressing Governance, Risk and Compliance

Graph Data Science

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

Building the Enterprise Knowledge Graph

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

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

Master Data Management

Rethink Your Master Data: How Graphs and MDM Intersect

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

Learn how to get started with Neo4j Fabric.

Cypher & GQL

Getting Started with Neo4j Fabric