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

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

Government

The most powerful fraud prevention tool for federal agencies: Graph technology

Analyzing annual reports using LLMs and graph technology

Graph Data Science

Empowering employees with graph technology

Graphs4Good: Where graph technology is tackling complex, real-world problems

Graphie Graphs4Good in medical research: 5–minute interview with HealthECCO

Combating antibiotic resistance: The medical climate crisis

Learn how graph technology assists physicians and expedites diagnoses in the healthcare industry.

Transforming health information technology with a knowledge graph

Learn how cybersecurity and graph database technology are a perfect fit for tackling cyber threats

Cybersecurity & graph technology: An excellent fit

Neo Technology and the LDBC project – an update

Developer

Neo Technology and the LDBC project – an update

Build AI agents with Google’s MCP toolbox and Neo4j knowledge graphs

Why healthcare CIOs can’t afford to scale AI without a knowledge graph foundation