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

Top 10 use cases: Anti-Money Laundering

Check out this week's #GraphCast on the FinCEN Files

GraphCast: Follow the money, untangling complex fraud networks with Emil Eifrem

Observable graphs

Developer

Language Buffet: Using Neo4j with GraalVM

Developer

Making sense of news, the Knowledge Graph way

Top 10 use cases: Knowledge Graphs

Knowledge graph

Exploring graphs with BearingPoint: The 5-minute interview

Learn about Neo4j Aura Enterprise

Introducing Neo4j AuraDB Enterprise [GA release]

NeoDash: Build Neo4j dashboards without writing any front-end code

Gram: A data graph format

Real-time recommendations

Top 10 use cases: Real-time recommendations

Discover how to use graph theory to determine the possible number of orders in which you can watch all the Marvel movies.

Graph Data Science

GraphCast: Using graph theory to find the number of Marvel watch orders