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

See all articles

Sudhir Hasbe

Chief Product Officer, Neo4j

See all articles

Philip Rathle

Chief Technology Officer, Neo4j

See all articles

Most recent

Beyond the lakehouse: Why your Microsoft Fabric strategy needs Neo4j graph intelligence

3 min read

Structured AI with Neo4j

17 min read

Context graphs and AI memory across the globe

8 min read

GRAPH TYPE – Schema enforcement made easy (Preview)

9 min read
Designing agentic AI for pharma & life sciences with graph technology: From complex evidence to explainable insights

Designing agentic AI for pharma & life sciences with graph technology: From complex evidence to explainable insights

5 min read

Whose signature really matters? Understanding PageRank through yearbook signatures

5 min read

Discover rich, graph-powered insights in your BigQuery data

7 min read

Useful AI agent case studies: What actually works in production

10 min read
Exploring ultimate beneficial ownership with graph technology

Exploring ultimate beneficial ownership with graph technology

6 min read
A gemlike image of a whole Dobble graph model.

The math and the graph behind a popular match game

9 min read

Unlocking high-conversion recommendations with graph analytics in Snowflake

1 min read

From cafeteria cliques to graph communities: Understanding the Louvain algorithm

6 min read