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

Under the covers with LightRAG: Extraction

Mahabharata 2.0: From scrolls to soundwaves (Part 4)

Announcing the Neo4j graph workload for Microsoft Fabric

Run Cypher from Java

Integrating Neo4j with LangChain4j for GraphRAG vector stores and retrievers

Aura graph analytics: A technical deep dive

Introducing Neo4j Aura Graph Analytics: Scalable, easy-to-deploy graph analytics for any data source

Agentic GraphRAG for commercial contracts

Simplify modern application development with GraphQL on Neo4j AuraDB

Text2Cypher: The impact of difficult example selection

Is a knowledge graph a graph database?

Transform static risk assessment into a dynamic data-driven strategy