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

Predicting fraud: 5-minute interview with Marius Hartmann

Check out highlights of Chapter 1.

Graph Data Science

Introducing graph databases for Dummies

Discover how to build spatial search algorithms with Neo4j.

Building spatial search algorithms for Neo4j

Combating money laundering: Graph data visualizations

Check out this interview with Charlie Beveridge of Accenture.

Knowledge graphs & navigating the future of AI: An interview with Charlie Beveridge of Accenture

Watch Tim Ward’s presentation on how to build a connected enterprise that drives value in 45 minutes

From Zero to the Connected Enterprise in 45 Minutes

Read this blog and learn about AML graph algorithms.

Combating money laundering: AML graph algorithms

Check out this 5-minute interview with the co-founder of Planethon.

Graph Data Science

Planet R&D: 5-minute interview with Fredrik Wikholm

Neo4j Engineering Director, Jesús Barrasa discusses using Neosemantix with RDF data linked data and more.

NeoSemantics: A linked data toolkit for Neo4j

Combating money laundering: Sprints with money queries

Check out this interview with Robert Allison of Kineviz.

Graph analytics for business users: 5-minute interview with Robert Allison of Kineviz

Learn about our new GraphAcademy course, Cypher Query Tuning in Neo4j 4.0.

Cypher & GQL

New GraphAcademy course: Cypher query tuning in Neo4j 4.0