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

Effortless RAG with Text2CypherRetriever

Announcing new Aura import services

Forrester Wave: GraphRAG is a game-changer for GenAI accuracy and relevance

Neo4j GraphQL Library: Our Roadmap for 2024–2025

Neo4j GraphQL Library: Our roadmap for 2024–2025

Boosting AuraDB Read Performance With Secondaries

AuraDB
News

Boosting AuraDB read performance with secondaries

Efficiently monitor Neo4j and identify problematic queries

GraphRAG Python package.

GraphRAG Python package: Accelerating GenAI with knowledge graphs

New GraphAcademy course: Building knowledge graphs with LLMs

What is supply chain management?

Supply chain & logistics

What is supply chain management? A guide to optimizing SCM

AI Ethics: What Is It and Why Should You Pay Attention?

AI ethics: What is it and why should you pay attention?

Cypher performance improvements in Neo4j 5

Detecting bank fraud with Neo4j: The power of graph databases