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

Learn How Walmart Used Neo4j to Achieve Sustainable Competitive Advantage via Recommendations

Graph database

How Walmart uses Neo4j for retail competitive advantage

Agentic AI

Useful AI agent case studies: What actually works in production

News

Reflections on the 2025 Gartner® Cloud DBMS Magic Quadrant™ and the future of AI-ready data

Illustration of AI at the center of the bullseye

GenAI
News

Neo4j invests $100 million in GenAI and launches key agentic AI innovations

Knowledge Graphs

How knowledge graphs drive more sales with real-time recommendation engines

Emil Eifrem BizTech Interview

Emil Eifrem

Emil Eifrem on Neo4j’s rise, rapid growth in APAC, and the thrill of competition

Learn about performant queries on highly connected data.

Performant queries on highly connected, growing data

Learn about Neo4j for Google Cloud, a new tightly integrated, fully managed cloud service

What’s next for graphs: Neo4j for Google Cloud

Discover how real-time recommendations support a number of different use cases that translate into business value.

Real-time recommendations

Powering recommendations with a graph database: Proven business benefits [+ case studies]

Learn how graph database technology powers recommendation engines with connected data

Real-time recommendations

Powering recommendations with a graph database: Connect buyer and product data

Learn more about how Neo4j welcomes the entrance of Amazon Neptune into the graph community

News

Welcome to the graph community, Amazon Neptune!

Learn how Neo4j is used for product recommendations and personalized promotions in the retail sector

Real-time recommendations

Retail & Neo4j: Personalized promotion & product recommendations