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

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

Learn more about Cloud Foundry and Neo4j.

Neo4j and Cloud Foundry

Upgrade your Graph Data Science library now (or miss out on cool new features)

Master data management

Rethink Your Master Data: Addressing Governance, Risk and Compliance

Graph Data Science

The Power of Graph Data Science: 5-Minute Interview with Alicia Frame