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

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

Developer

What 40 AI Agents Revealed About the Future of Graph Intelligence

Building an AI agent with memory: Microsoft Agent Framework + Neo4j

Developer

Building an AI agent with memory: Microsoft Agent Framework + Neo4j

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

Declarative route planning with Cypher 25—Graph traversal grows up

Going meta: Two years of knowledge graphs

Exploring the Neo4j Spatial plugin: Custom procedures for spatial analysis

Exploring Neo4j Spatial: Path intersections using AIS data

Exploring Neo4j Spatial: Layer management, spatial filtering, and intersection

Exploring Neo4j Spatial: Installation, data loading, and simple querying