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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Agentic AI

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Exploring ultimate beneficial ownership with graph technology

Graph database

Exploring ultimate beneficial ownership with graph technology

A gemlike image of a whole Dobble graph model.

The math and the graph behind a popular match game

Real-time recommendations

Unlocking high-conversion recommendations with graph analytics in Snowflake

From cafeteria cliques to graph communities: Understanding the Louvain algorithm

Fraud is detected when relationships are visible, not when transactions are viewed in isolation.

Detect fraud faster with a Transaction Graph

Text2Cypher guide

GenAI
News

2025: Year of AI and scalability

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Why AI needs graph

Graph-driven AI for all: Neo4j Aura Agent enters general availability

Meet Lenny’s Memory: Building context graphs for AI agents

Developer

Boundary graph: Exploring the IPL through the lens of graphs