Neo4j blog

Welcome, GraphAware

Neo4j is acquiring GraphAware, our longtime partner and a leading provider of intelligence analysis software for government agencies.

New research finds enterprises earn 230% ROI with Neo4j Graph Intelligence Platform

Context graphs: Why AI agents need three types of memory

Knowledge graph

Taxonomy vs. ontology vs. knowledge graph: What’s the difference?

Featured voices

Emil Eifrem

CEO & Founder, Neo4j

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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 about graph visualization for Neo4j using KeyLines

5 ways to tackle big graph data with KeyLines and Neo4j

Learn why risk model approval is critical to effective internal risk models for FRTB compliance

Effective internal risk models for FRTB compliance: The importance of risk model approval

Learn about GraphConnect 2018 keynotes Hilary Mason (at Cloudera) and Stephen O'Grady (at RedMonk)

Hilary Mason [ML at Cloudera] & Stephen O’Grady [Principal at RedMonk] will keynote at GraphConnect 2018

Meet Jason Cox and Jess Mason who run a meetup called Philly GraphDB to explore graph technologies.

Cypher & GQL

Cypher Philly: Civic empowerment & actionable change using data-driven storytelling

Learn how to use concepts in graph theory and predictive analysis to understand your connected data

Graph databases for beginners: Graph theory & predictive modeling

Check out this rapid retail example of Cypher query code for graph data recommendations.

Real-time recommendations

Powering recommendations with a graph database: A rapid retail example

Check out and join the new Neo4j community site page and forum.

Announcing a new Neo4j community site & forum

Discover how real-time recommendations support a number of different use cases that translate into business value.

Real-time recommendations

Powering recommendations with a graph database: Proven business benefits [+ case studies]

Discover the must-see speakers at this year's GraphConnect 2018.

News

11 must-see speakers at GraphConnect 2018 in New York City

Get a glance of the system architecture of the eBay App for Google Assistant

The eBay app for Google Assistant: Graph-powered conversational commerce

Explore the various trade-offs and differences between imperative and declarative query languages

Imperative vs. declarative query languages: What’s the difference?

Learn how graph database technology powers recommendation engines with connected data

Real-time recommendations

Powering recommendations with a graph database: Connect buyer and product data