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

How DBS connect knowledge with a knowledge quotient framework

Predictions for 2023: What’s on the horizon for graph technology?

Conversational AI with Neo4j and the Unreal Engine – part 1

Better together with AWS: The 5-minute interview with Roya Niki Hugosson

Automating deployment of Neo4j Java extensions to (self-managed) Google Cloud

Developer

Python packages licenses analysis with Neo4j

Financial services

How banks in ANZ use data-driven insights to optimize DevOps and cloud migration

Government

How the Australian Department of Infrastructure applies graph

Creating Graphville: Learn Neo4j & Cypher through stories

Connecting data across the enterprise: The 5-minute interview with Simone Novali

Better AI with Neo4j and Azure Machine Learning

Digital twin for the construction industry: How Neanex uses Neo4j