Neo4j blog

Introducing Neo4j GraphAware Financial Crime Intelligence

Move from fragmented data to connected intelligence, for better detection, deeper investigations, and defensible decisions.

Vector RAG vs. GraphRAG: Which retrieval do you need?

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

Independent study: GraphRAG makes AI agents 80% more truthful

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

Combating Money Laundering: Graph Tech Fights Serious Crimes

Machine learning

Easy Explainability: 5-Minute Interview with Calin Constantinov

Get these 7 quick tips to get more from the GDS library.

7 Quick Tips to Get More from the GDS Library [Tip Sheet]

Learn how to build a graph history with The Codex.

Building a Graph of History with The Codex

This GraphCast, “How to Solve a Crime with Graph Theory,” is a basic explainer of graph theory.

#GraphCast: How to Solve a Crime with Graph Theory

Graph visualization

Neo4j Bloom tips and tricks for domain knowledge experts

Learn what's new and exciting with the Neo4j Partner Program.

News

Introducing Neo4j Partner Program: An Interview with Matt Connon

Exploring Drug Interactions: 5-Minute Interview with Amin Jalali

Learn how EY used Neo4j to design enterprise HR applications at scale.

Designing the Enterprise: HR Applications at Scale

Learn how graph technology improve the KYC process.

From Know Your Customer to Know Your Network: A Paradigm Shift Empowered by Neo4j

Rethink Your Master Data: From MDM to Innovation

Check out this tv show in which they use graph theory to solve crimes.

Graph Data Science

#GraphCast: Numb3rs and Graph Theory