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

Announcing Neo4j 1.4 M03 “Kiruna Stol”

3 min read
Neo4j 1.4.M02 – index-ability

Neo4j 1.4.M02 – index-ability

3 min read
Neo4j 1.4 M01 – Announcing Kiruna Stol

Neo4j 1.4 M01 – Announcing Kiruna Stol

2 min read

Spring Data Graph 1.0, the integration library for Neo4j released today

3 min read

Spring Data Graph 1.0.0.RC1 released

2 min read

Neo4j 1.3 “Abisko Lampa” M05 – Preparing for arrival

2 min read

EDBT Uppsala 2011 – Graph processing everywhere.

2 min read

Strategies for scaling Neo4j

5 min read

Neo4j 1.3 “Abisko Lampa” M04 – Size really does matter

4 min read
Learn More about the Neo4j Spatial Plugin

Neo4j Spatial: Finding things close to other things

6 min read
Neo4j 1.3 M03 – With (short) strings attached!

Neo4j 1.3 M03 – With (short) strings attached!

3 min read
Jim Webber: Scaling Neo4j with cache sharding and Neo4j HA

Jim Webber: Scaling Neo4j with cache sharding and Neo4j HA

5 min read