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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

Learn how to fix your microservices architecture with graph analysis.

Fixing Your Microservices Architecture Using Graph Analysis

Free Download O'Reilly Graph Algorithms book

Graph Data Science

Graph Algorithms in Neo4j: Connected Data & Graph Analysis

An In-Depth Graph Analysis of the Paradise Papers

Empowering Open-Source Cyber Threat Intelligence Analysis With Graph Visualization

Knowledge Graph vs. Vector RAG: Benchmarking, Optimization Levers, and a Financial Analysis Example

Divya Venkatraman

Graph Database

This Week in Neo4j: Knowledge Graphs, NeoDash, Automation, Web Analysis and more

Learn about predictive analysis from massive knowledge graphs.

Predictive Analysis from Massive Knowledge Graphs on Neo4j

Inside Analysis: The Graph Database and the RDF Database

Graph Databases and Software Metrics & Analysis

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

Exploring Ultimate Beneficial Ownership with Graph Technology

Graph Database

Exploring Ultimate Beneficial Ownership with Graph Technology

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Why AI Needs Graph