AI Knowledge Graph

Interactive knowledge graphs extracted from plain text by an LLM. Each example below was generated from a short document with generate-graph; click one to explore it: search, click a node for its relationships and source sentences, trace paths, filter by community or entity type.

Technology history
The Industrial Revolutions
236 entities · 355 relationships (82 inferred) · 15 communities
First Industrial Revolution · Electrification and computing industries · Internet and blockchain economy · Third Industrial Revolution · Fourth Industrial Revolution · British factory reform
Biography
Marie Curie
138 entities · 263 relationships (45 inferred) · 10 communities
Curie education and colleagues · Curie family Nobel chemistry · Radium institutes and Paris · Pierre Curie family biography · Early radioactivity research · Radioactive Curie notebooks
Program history
The Apollo Program
173 entities · 280 relationships (60 inferred) · 15 communities
Apollo program development · Apollo 11 moon landing · Apollo spacecraft and rockets · Final Apollo missions · Lunar orbit rendezvous · Apollo 1 fire
Process description
Coffee, from farm to cup
178 entities · 279 relationships (85 inferred) · 14 communities
Coffee milling and roasting · Coffee processing methods · Coffee species and origins · Coffee brewing and caffeine · Coffee trade and producers · Coffee roasting chemistry
Spanish text
La Alhambra de Granada
118 entities · 185 relationships (46 inferred) · 11 communities
Origen de la Alhambra · Conquista de Granada · Generalife y UNESCO · Palacios y patios nazaríes · Arte nazarí y renacentista · Washington Irving y Alhambra

How these were made

Texts and graphs live in data/samples/ of the repository. Extraction, entity standardization, relationship inference and community naming ran with deepseek-v4.1-flash; the pages were rendered with generate-graph --from-json. Solid lines are relationships stated in the text (hover for the sentence); dashed lines were inferred and are labelled with their method.