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

First proof of “six degrees of separation”

7 min read

Deep Dive: Neo4j Virtual Graph on BigQuery

17 min read

Precise economic policy in a world of chaos

13 min read

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

8 min read

What are the different types of graph algorithms & when to use them?

13 min read

Under the covers with LightRAG: Retrieval

19 min read
graph database vs. relational database

Graph database vs. relational database: What’s the difference?

15 min read

Integrating Microsoft GraphRAG into Neo4j

22 min read

Expedia’s entity graph powers global travel

13 min read

Neo4j Cybersecurity AuraDB & Sandbox: Graphs for cybersecurity

3 min read

User segmentation based on node roles in the peer-to-peer payment network

16 min read

Top 10 use cases: Master Data Management

4 min read