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

Your roadmap for an enterprise graph strategy

Catch this week's GraphCast: Bandersnatch Edition featuring decision trees.

GraphCast: Bandersnatch edition

Learn more about how to accelerate Neo4j performance using CAPI SNAP technology on IBM Power Systems

Graph database

Accelerating Neo4j with CAPI SNAP from IBM Power Systems

Explore all of the great articles created by the Neo4j community in November 2016

From the Neo4j community: November 2016

See all the great articles and content from the Neo4j community published in October 2016

From the Neo4j community: October 2016

Beyond the Banana: Driving real-time recommendations with graph-grounded Copilots in Microsoft Fabric

Auditing AWS infrastructure with Neo4j: questions inventory cannot answer

Navigating a Neo4j Knowledge Graph with Jev

Secure GraphRAG: Wiring Microsoft Copilot Studio to Neo4j with per-user Okta SSO

Secure GraphRAG: Wiring Microsoft Copilot Studio to Neo4j with per-user Okta SSO

Graph database

What is graph technology? And why it’s the future of enterprise AI

From first graph algorithm experiment to production with Aura Graph Analytics

From Agent Memory to Portable Skills

From Agent Memory to Portable Skills