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.

Context graphs: Why AI agents need three types of memory

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

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

Designing Agentic AI for Pharma & Life Sciences with Graph Technology: From Complex Evidence to Explainable Insights

Graph Database

Designing Agentic AI for Pharma & Life Sciences with Graph Technology: From Complex Evidence to Explainable Insights

Whose Signature Really Matters? Understanding PageRank Through Yearbook Signatures

Discover Rich, Graph-Powered Insights in Your BigQuery Data

Agentic AI

Useful AI Agent Case Studies: What Actually Works in Production

Exploring Ultimate Beneficial Ownership with Graph Technology

Graph Database

Exploring Ultimate Beneficial Ownership with Graph Technology

A gemlike image of a whole Dobble graph model.

The Math and the Graph Behind a Popular Match Game

Real-Time Recommendations

Unlocking High-Conversion Recommendations with Graph Analytics in Snowflake

From Cafeteria Cliques to Graph Communities: Understanding the Louvain Algorithm

Fraud is detected when relationships are visible, not when transactions are viewed in isolation.

Detect fraud faster with a Transaction Graph

Text2Cypher Guide

GenAI
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2025: Year of AI and Scalability

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Why AI Needs Graph