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

Public sector workforce intelligence and compound questions

5 min read

Meet Lenny’s Memory: Building context graphs for AI agents

15 min read
Diagram of the enterprise graphs: Employee, Network & Security, Supplier, Product, Process, Transaction, Customer

Model your data like your business for better insights

9 min read

Neo4j certification: What’s the value?

4 min read

Introducing Neo4j Aura Graph Analytics: Scalable, easy-to-deploy graph analytics for any data source

6 min read
AI Ethics: What Is It and Why Should You Pay Attention?

AI ethics: What is it and why should you pay attention?

15 min read

The ethics of generative AI: Understanding the principles and risks

17 min read

Needle v2 is here: Rebranding in the fast lane

5 min read

DXC Career Navigator: Data driven employee career development and engagement

8 min read

From collected data to connected data: How knowledge graphs are changing the world

18 min read

Please welcome Chandra Rangan, Neo4j’s chief marketing officer!

15 min read

Full stack graph in the cloud

21 min read