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2025: Year of AI and Scalability

Discover how 2025 marked Neo4j’s evolution from a graph database and analytics leader into the world’s premier graph intelligence platform.

Agentic AI

Useful AI Agent Case Studies: What Actually Works in Production

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

Detect Fraud Faster With a Transaction Graph

Graph-Driven AI for All: Neo4j Aura Agent Enters General Availability

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

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

Text2Cypher Guide

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Why AI Needs Graph

Meet Lenny’s Memory: Building Context Graphs for AI Agents

Developer

Boundary Graph: Exploring the IPL Through the Lens of Graphs

Agentic AI vs. Generative AI: Why Agents Need Memory, Context, and Guardrails