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

Graphs Are Eating Telecommunications

Graph Analytics Applications and Use Cases

Top 10 Graph Database Use Cases (With Real-World Case Studies)

What is a database management system?

Graph Database

What Is a Database Management System?

Data Exploration With the Neo4j Runway Python Library

Knowledge Graph

Telstra’s Neo4j Graphie Award for Excellence in Data Discovery: Why Neo4j?

News

1 Year Anniversary: Webinars, Demos, Connections – Oh My!

AuraDB

Neo4j AuraDB: The Right Graph Database, Not a Graph Add-on

Exploring the European Natural Gas Network as a Knowledge Graph

Neo4j as an Embedded Database: The Key Use Cases of Graph Databases

Network & IT Operations

Top 10 Use Cases: Empowering Network and IT Operations Management

Machine Learning

Easy Explainability: 5-Minute Interview with Calin Constantinov