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.

Agentic AI

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

Agent Memory

A knowledge layer for your agentic systems on Google Cloud

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

Learn how cybersecurity and graph database technology are a perfect fit for tackling cyber threats

Cybersecurity & Graph Technology: An Excellent Fit

Learn how Expero used Neo4j graph technology to prototype a sub-contracting solution for ISN

Graph Database

Rapid Graph Technology Prototyping of Sub-Contractor Relationships

Learn all about the new Spring Data Neo4j 5.0 release and the Object Graph Mapping (OGM) 3.0 release

News

A Big Step Forward: Spring Data Neo4j 5.0 Release

Learn how to analyze the impact of a Twitter hashtag using Neo4j, Cypher, Python and JavaScript

Analyzing Twitter Hashtag Impact using Neo4j, Python & JavaScript

Learn how graph technology is helping the automotive industry via patedo for patent searches

Graph Database

How Graph Technology Helps the Automotive Industry to Innovate with patedo

Learn how FactGem's Data Fabric solution empowers data integration across numerous data siloes

Graph Database

A Path to the Graph: Data Integration That Begins without Writing Any Code

Learn how GraphAware built 7VORTEX using graph technology to analyze biology systems

Graph Database

7VORTEX: Systems Thinking Powered by Graph Technology

Neo4j Life Sciences & Healthcare Workshop – Proceedings from Berlin

Learn why the distinction of native graph databases matters when it comes to connect data

Graph Database

A Note on Native Graph Databases

Learn how data-driven decision making in retail helps your business overcome the challenge of Amazon

Amazon Eating Your Lunch? What Data-Driven Retailers Can Do About It [Community Post]

Learn from this initial test of the GraphQL command-line interface when used alongside Neo4j

GraphQL

1st Steps with Graphcool’s GraphQL Command-Line Interface [Community Post]

Rank provides a high-level graph algorithm

Graph Algorithms: Make Election Data Great Again