Neo4j blog

Agentic AI

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

Chart of the knowledge layer comprising ontologies, data, and memory

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

Independent study: GraphRAG makes AI agents 80% more truthful

Illustration representing a context graph for AI agent memory

Agentic AI

What is a context graph?

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

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

Fraud is detected when relationships are visible, not when transactions are viewed in isolation.

Detect fraud faster with a Transaction Graph

Fighting financial fraud with graph technology

Fighting financial fraud with graph technology

Government

The most powerful fraud prevention tool for federal agencies: Graph technology

Mastering fraud detection with temporal graph modeling

Detecting bank fraud with Neo4j: The power of graph databases

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

Using Neo4j Fabric for scalable fraud detection on graphs

Neo4j in the News

Neo4j in the news – summer edition: cryptocurrency, digital twin, fraud detection, and Graph Data Science

Fraud detection: Finding the needle in a haystack with knowledge graphs

Exploring fraud detection with Neo4j & Graph Data Science – Part 4

Exploring fraud detection with Neo4j & Graph Data Science – Part 3