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

Learn how to monitor Neo4j servers and clusters.

Monitoring Neo4j Servers and Clusters

How to use Kubernetes to quickly deploy Neo4j clusters

Scale AI into production

What is graph visualization?

Stop Token-Incinerating Your Risk Engine

SumoDB in Neo4j: Microsoft Fabric bridging Decades of Rikishi — Part 4

The payload: the semantic layer, memory, and the loop that fills it

From Agent Memory to Portable Skills

From Agent Memory to Portable Skills

Constant-cost semantic memory for multi-agent systems

Introducing MCP for Aura: Hosted MCP, built into every Aura instance

Fraud rings hide in the connections: Graph-Enriched Detection for Databricks Genie with Neo4j

Supply chains don’t fail at the node. They fail at the connection.