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

See all articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See all articles

Philip Rathle

Chief Technology Officer, Neo4j

See all articles

Most recent

Neo4j certified professionals now get access to advanced-level virtual training sessions

Learn how ETL tools work, including basics of graph ETL which converts RDBMS to graph databases.

Graph Data Science

Graph databases for beginners: The basics of graph ETL

Graph-Powered Recommendations: How Smart Recommendations Drive Value

Learn about social knowledge graphs to improve remote collaboration.

Knowledge graph

GraphCast: How a social knowledge graph improves remote collaboration

Learn about practical applications of Neo4j 4.0.

Practical applications of Neo4j 4.0

Stay agile with graph by shifting left and designing consistent architecture that eliminates migrations.

Being in Control and Staying Agile with Graph Requires Shifting Left at ING

Financial Fraud Detection with Graph Data Science: Identifying Fraud Rings

Lean Graph Data Models Drive Fast Innovation: A Fireside Chat with David Fox, Senior Software Engineer at Adobe

Learn about Neo4j Bloom, a data visualization tool

Graph visualization

Neo4j Is in Bloom Everywhere This Spring

Learn how Previa is using Neo4j to reimagine health care.

How Previa is reimagining healthcare

Financial Fraud Detection with Graph Data Science: Identifying First-Party Fraud

Catch this week's GraphCast: Getting Started with Arrows

#GraphCast: Getting Started with Arrows