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

See all articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See all articles

Philip Rathle

Chief Technology Officer, Neo4j

See all articles

Most recent

Connected Intelligence: Operationalizing secure, cost-optimized graph architectures across multi-cloud AI

Multiple databases now generally available in AuraDB

Government

The investigation is moving. Can your data keep up?

Wherever you’re building agents, Neo4j is already there

Easily build a knowledge graph from your existing documents with Document Intelligence

Beyond the return: who controls the business?

Agentic AI

What is contextual retrieval? How AI agents find the right context

Developer

How to Set Up and Redeem Your Neo4j Startup Program Credits

The knowledge layer for enterprise: Processes

From memory to behavior: skills, user profiles, and the consolidation loop

Who controls your intelligence analysis platform?

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