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

Evaluating graph retrieval in MCP agentic systems

Rewire your integration strategy: a graph-first approach with Neo4j and AI

GraphRAG in action: A simple agent for know-your-customer investigations

From legal documents to knowledge graphs

RAG tutorial: How to build a RAG system on a knowledge graph

Quickly build a React agent with LangGraph and MCP

IP filtering for Neo4j Aura—Simpler and stronger network security

Using GraphQL middleware with Neo4j GraphQL

Query, chomp, repeat

News

Sudhir Hasbe named president, technology at Neo4j

Exploring the Neo4j Spatial plugin: Custom procedures for spatial analysis

Neo4j MCP Server: Your ADHD-friendly house-moving assistant