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

Graphs in China: 5-minute interview with Richard Wu & George Zhang

NODES

Unearthing historical networks using Neo4j and archival documents

Network & IT operations

Top 10 use cases: Empowering network and IT operations management

Sandbox spring cleaning

Discover how graph technology enhances artificial intelligence and machine learning with graph theory and algorithms.

Graphs for AI and machine learning

Top 10 use cases: Supply chain management

Developer

Language buffet: Using Neo4j with GraalVM, part 2

Dimensions in the data: 5-minute interview with Benjamin Squire

Discover the new features in GDS 1.5, including new algorithms, more ML, and easier production deployment.

New supervised machine learning workflows in Neo4j!

Discover the soul of a product using Neo4j and React

Learn how to use Neo4j's graph visualization to do extensive representation of COVID-19 contact tracing.

Graph visualization

Extensive representation of contact tracing with Neo4j in the canton of Geneva

Top 10 use cases: Anti-Money Laundering