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

Remembering all those who served, Neo4j says thank you.

A Big Thank You from Neo4j to All Veterans

#GraphCast: Pathfinding Algorithms

preview-image-finding-fraud-with-graph-data-science-infographic

Find More Fraud with Graph Data Science [Infographic]

An Explosion of Use Cases: 5-Minute Interview with Rik Van Bruggen

GRANDstack: Graphs All the Way Down

Check out this podcast on the Graph Databases For Dummies book.

Graphistania Podcast: Authors Discuss Graph Databases For Dummies

Catch this week's GraphCast: Graph Data Science Library

#GraphCast: Graph Data Science Library

Learn about the newest features in Neo4j Bloom 1.4

Graph Visualization

Graph Visualization Just Got Easier: Introducing Neo4j Bloom 1.4!

Learn about Neo4j Graph Data Science 1.4

Announcing: Graph-Native Machine Learning in Neo4j!

Check out the Virtual Expo Space at NODES 2020.

NODES

NODES 2020 Virtual Space: Have a Peek

The Lean-In Moment: 5-Minute Interview with Paul Westcott

Check out this interview on Graph Database For Dummies.

Graph Data Science

5-Minute Interview: Graph Databases For Dummies with Dr. Jim Webber and Rik Van Bruggen