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
Illustration representing a context graph for AI agent memory

What is a context graph?

13 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

What’s the ROI of a graph technology investment?

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Discover AuraDB Free: Week 14 – consumer complaints database

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Neo4j GraphQL aggregations

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Using a hybrid technique to detect illicit activities in shell companies

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From Law Enforcement to Graph Technology

From law enforcement to graph technology: an unlikely relationship

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What’s new in Neo4j-GraphQL-Java

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Actioning vs. decisioning knowledge graphs

From graph to knowledge graph: Actioning vs. decisioning knowledge graphs

4 min read

Discover AuraDB Free: Week 13 – Exploring a Kaggle HR attrition dataset

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Graph: A possible solution for environmental pollution!

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You don’t need a crystal ball when you have Graph Data Science

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Introducing the Neo4j Stack Overflow sandbox

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The daily life of Twitter troll

Revealing the life of a Twitter troll with visual timeline analytics

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