Neo4j Blog

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

Learn how the Neo4j Graph Intelligence Platform provides the relational context that production-grade AI and enterprise analytics need.

Introducing Neo4j Virtual Graph: Graph reasoning on the data you already have

Illustration of how a supplier graph connectes materials, routes, and contracts

What’s invisible in your supply chain could cost you

Agentic AI

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

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 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

Take this six-question quiz to determine which Neo4j training you should take at GraphConnect 2018

Which GraphConnect Training Should You Take? [Quiz]