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

16 things to consider when selecting the right graph database

20 min read

Solving wicked space problems with ASTRIAGraph

13 min read
#GraphCast: Going Meta

GraphCast: Introducing Going Meta – episode 1

1 min read

Pandora Papers: Revealing financial secrets of global power players

6 min read

Neo4j won prestigious Data Breakthrough Award for AuraDB!

4 min read

From text to a knowledge graph: The information extraction pipeline

12 min read

Graphie winner community MVP – Knowledge Graphs: 5-minute interview with Ashleigh Faith

11 min read

GraphQL: The past, present, and future

12 min read

Real-time dashboard of Bitcoin transactions with Neo4j and NeoDash

10 min read

GraphCast: Get started in three with AuraDB Free

2 min read
Neo4j Quick Start on AWS Marketplace

Neo4j quick start on AWS Marketplace: The fastest path to graph

3 min read

Webinar spotlight: Knowledge graphs are hot!

3 min read