Free · AI + Wikipedia
Knowledge graph generator for any topic.
Turn a topic into an interactive knowledge graph: the concepts around it as nodes, and labelled links that say how they relate. Every node is verified on Wikipedia.
The basics
What is a knowledge graph?
A knowledge graph represents knowledge as a network: nodes for things (people, places, events, ideas) and edges for the relationships between them. Because every edge has a meaning and any node can connect to any other, a knowledge graph shows how a subject fits together — which is why search engines, encyclopaedias like Wikidata and recommendation systems use them.
For learning, the same idea helps you see the structure of a topic before the details: what it's made of, what caused it, who shaped it and what it led to.
How it works
How Throvic generates your knowledge graph
- Step 1
Enter a topic
Throvic resolves it to the matching Wikipedia article, so the graph is anchored to a real, well-defined subject.
- Step 2
Get nodes and relationships
AI proposes the most important connected concepts and labels each link — “founded by”, “causes”, “part of” — while every node is matched to its Wikipedia article.
- Step 3
Explore and export
Expand any node to grow the graph, switch layouts, find a concept, then export the graph as an image, a PDF study sheet or JSON data.
Features
Built to explore, not just to look at
Labelled relationships
Links say how two concepts relate, not just that they do — read them on the map or in each concept's panel.
Verified nodes
Each node carries its Wikipedia summary, photo and source link. Nodes without a matching article are marked.
Expand without limits
Grow any node into its own branch; Throvic avoids duplicates and adds cross-links to concepts already on the graph.
Three layouts
A force-directed web, a radial view by level, or a top-down tree. Fold branches to keep large graphs readable.
Outline, search and keyboard
Every graph also has a text outline, find-in-map, and full keyboard navigation with screen-reader announcements.
Data export
Download nodes (title, category, summary, Wikipedia link) and edges (source, target, label) as JSON for your own tools.
Examples
Knowledge graph examples
Researching a field? See Throvic for researchers. Comparing formats? Read knowledge graph vs mind map vs concept map.
FAQ
Knowledge graph generator questions
What is a knowledge graph?
A knowledge graph is a network of entities — people, places, events, ideas — connected by relationships that have a meaning, such as “invented by” or “part of”. Unlike a list or a tree, any entity can connect to any other, which makes it good for seeing how a subject fits together.
Is this the same as Google's Knowledge Graph?
No. Google's Knowledge Graph is Google's own database of facts used in search results. Throvic builds a small, focused knowledge graph about one topic for you to explore and learn from.
Is the knowledge graph generator free?
Yes. It is free with no sign-up. A fair-use limit stops automated abuse.
Where does the data come from?
An AI model suggests the concepts and relationships; every concept is then checked against English Wikipedia, which supplies the summaries, photos and source links.
Can I export the graph data?
Yes. Open Share and choose “Download data (JSON)”. You get every node with its title, category, summary and Wikipedia link, and every edge with its label.
How big can a graph get?
A new graph starts with around nine concepts. Each expansion adds up to six more, and you can keep expanding — fold branches you're done with to keep it readable.