Neo4j blog

The knowledge layer for enterprise AI

A manifesto for context-rich enterprise AI

19 min read
Chart of the knowledge layer comprising ontologies, data, and memory

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

19 min read

Independent study: GraphRAG makes AI agents 80% more truthful

4 min read
Context graph diagram illustrating decision traces for AI agents

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

10 min read

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

Discover the soul of a product using Neo4j and React

17 min read
Learn how to use Neo4j's graph visualization to do extensive representation of COVID-19 contact tracing.

Extensive representation of contact tracing with Neo4j in the canton of Geneva

5 min read

Top 10 use cases: Anti-Money Laundering

4 min read
Check out this week's #GraphCast on the FinCEN Files

GraphCast: Follow the money, untangling complex fraud networks with Emil Eifrem

1 min read

Observable graphs

3 min read

Language Buffet: Using Neo4j with GraalVM

14 min read

Making sense of news, the Knowledge Graph way

17 min read

Top 10 use cases: Knowledge Graphs

4 min read

Exploring graphs with BearingPoint: The 5-minute interview

4 min read
Learn about Neo4j Aura Enterprise

Introducing Neo4j AuraDB Enterprise [GA release]

5 min read

NeoDash: Build Neo4j dashboards without writing any front-end code

6 min read

Gram: A data graph format

4 min read