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

Fun with Facebook in Neo4j

4 min read

Why the most important part of Facebook Graph Search is “Graph”

5 min read

Mashups with the Facebook Graph API and Neo4j

10 min read

GraphRAG and agentic architecture: Practical experimentation with Neo4j and NeoConverse

17 min read
What is a database management system?

What is a database management system?

9 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
What is generative AI?

What is generative AI?

15 min read

Integrating unstructured.io with Neo4j AuraDB to build a document knowledge graph

8 min read
Node embeddings in a knowledge graph.

The future of knowledge graph: Will structured and semantic search become one?

16 min read

GraphQL development best practices

21 min read

Celebrate Pride Month: Inspiring stories of authenticity at Neo4j

6 min read

Analyzing software dependencies with deps.dev – discover AuraDB Free (week 49)

8 min read