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

Reinventing retail: How Neo4j, Oneture, and AWS can power multi-agent store advisers

Connected Intelligence: Operationalizing Production-Grade Graph Solutions Across Enterprise Networks

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

Developer

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

The data strategy that makes truly personalized customer experiences possible

GenAI
News

2025: Year of AI and scalability

New Cypher AI procedures

We’re honored to welcome Kapil Hetamsaria as Neo4j’s new Chief Business Officer for Strategic Partnerships and Alliances.

News

Welcoming Kapil Hetamsaria, our chief business officer for strategic partnerships and alliances

Agentic AI

What is an AI agent?

Improve GenAI challenges on AWS with graph technology

GenAI

Maximize generative AI outcomes, minimize generative AI risks

GraphRAG and agentic architecture: Practical experimentation with Neo4j and NeoConverse

Learn how LLMs and knowledge graphs work together.

Unifying LLMs & knowledge graphs for GenAI: Use cases & best practices