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

Visualization of how Neo4j Graph Intelligence reveals hidden patterns in massive datasets

How graph intelligence drives breakthroughs in science and society

Finding the fastest way out: How Dijkstra’s algorithm finds shortest paths

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How graph and AI take us from dashboards to continuous decisions

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Neo4j and the data ecosystem

Agentic AI

What are agentic workflows? Design patterns & when to use them

Beyond the lakehouse: Why your Microsoft Fabric strategy needs Neo4j graph intelligence

Structured AI with Neo4j

Context graphs and AI memory across the globe

GRAPH TYPE – Schema enforcement made easy (Preview)

Designing agentic AI for pharma & life sciences with graph technology: From complex evidence to explainable insights

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Designing agentic AI for pharma & life sciences with graph technology: From complex evidence to explainable insights

Whose signature really matters? Understanding PageRank through yearbook signatures

Discover rich, graph-powered insights in your BigQuery data