AI Tutorials
Knowledge Graphs
Master knowledge graphs from first principles — nodes, edges, RDF, SPARQL, ontologies, and inference — with interactive visualizations and real code.
8 chapters · 200 min
From triples to production graph systems
- Ch. 01Read →
What Is a Knowledge Graph?
Understanding nodes, edges, and the triple as the atomic unit of knowledge
beginner · 15 min
- Ch. 02Read →
Triples and RDF
The W3C standard for representing linked data on the web
beginner · 20 min
- Ch. 03Read →
Ontologies and RDFS/OWL
Defining the vocabulary and meaning of your knowledge graph
intermediate · 25 min
- Ch. 04Read →
SPARQL — Querying Knowledge Graphs
The query language designed for RDF data
intermediate · 30 min
- Ch. 05Read →
Property Graphs vs RDF Graphs
When to use Neo4j/Cypher vs RDF/SPARQL
intermediate · 25 min
- Ch. 06Read →
Building a Knowledge Graph
From raw data to a queryable graph: ETL, entity linking, and graph stores
intermediate · 35 min
- Ch. 07Read →
Inference and Reasoning
Automatically generating new facts from existing ones
advanced · 30 min
- Ch. 08Read →
Real-World Use Cases
How knowledge graphs power production systems at Google, in medicine, finance, and AI
beginner · 20 min