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

Neo4j Browser Embraces the Monaco Editor

Top 10 Use Cases: Data Lineage

Catch this week's GraphCast: Presenting succinct explanations on graphs and graph databases.

Graph Data Science

#GraphCast: Introduction to Graph Theory: What Is a Graph?

Take this new certification exam to become a certified Neo4j Graph Data Science professional.

New Certification Exam Available: Neo4j Graph Data Science

Master Data Management

Top 10 Use Cases: Master Data Management

Graphs in China: 5-Minute Interview with Richard Wu & George Zhang

NODES

Unearthing Historical Networks Using Neo4j and Archival Documents

Network & IT Operations

Top 10 Use Cases: Empowering Network and IT Operations Management

Sandbox Spring Cleaning

Discover how graph technology enhances artificial intelligence and machine learning with graph theory and algorithms.

Graphs for Artificial Intelligence and Machine Learning

Top 10 Use Cases: Supply Chain Management

Developer

Language Buffet: Using Neo4j with GraalVM, Part 2