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

Creating a Neo4j agentic memory multi-user dungeon

Graphs in China: 5-minute interview with Richard Wu & George Zhang

See how Keylines Combos create deeper graph visualization.

Mapping a connected world: The value of geospatial graph visualization

Discover How to Use the neo4j-spatial Plugin for Geospatial Indexing of US Congressional Districts

Cypher & GQL

Geospatial indexing US Congressional districts with Neo4j-spatial

Learn All about KeyLines Geospatial in This GraphConnect San Francisco Preview

Graph visualization

KeyLines geospatial is leaving beta! See the first demo here

Stop Token-Incinerating Your Risk Engine

Cut Text2SQL token costs up to 81%, and stop paying for wrong answers: a Neo4j semantic layer across BigQuery and Databricks

Why public sector AI needs a workforce knowledge layer

Connected Intelligence: Operationalizing Production-Grade Graph Solutions Across Enterprise Networks

Developer

What 40 AI Agents Revealed About the Future of Graph Intelligence

I built a digital twin of my amateur-built airplane

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