Neo4j blog

Introducing Neo4j GraphAware Financial Crime Intelligence

Move from fragmented data to connected intelligence, for better detection, deeper investigations, and defensible decisions.

Scaling Karpathy’s LLM wiki: Why your knowledge base needs a graph

Independent study: GraphRAG makes AI agents 80% more truthful

Context graph diagram illustrating decision traces for AI agents

Agentic AI

What are decision traces in a context graph? How they reveal agentic reasoning

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

Developer

Making relations on the Titanic

Developer

Modeling data from the Titanic

Neo4j takes the lead: Transforming graph database management with Cypher API versioning and database calendar versioning

Elevate fraud detection with Neo4j on AWS: Uncover hidden patterns and enhance accuracy

The ethics of generative AI: Understanding the principles and risks

GenAI

GraphSummit Europe 2024: Actionable insights from industry leaders and innovators

Spreading the savings like Mayo: How knowledge graphs can transform invoice data and lower costs

GraphRAG field guide: Navigating the world of advanced RAG patterns

Building a movie recommendation system with Neo4j

Knowledge graphs and LLMs: Fine-tuning vs. Retrieval-Augmented Generation

Vectors and graphs: Better together

Hybrid retrieval for GraphRAG applications using the GraphRAG Python package