A knowledge graph — shown by example
Theory is good, a picture is better. Here's a tiny knowledge graph from the real Plant-Doctor world — four connected facts that show how knowledge turns into a reliable answer.
By Fabio Fornaro, Domani AI
Example: a tiny knowledge graph for plant diagnosis.
How the AI "thinks" through it
Instead of guessing, the AI walks the path: it starts at the observed symptom, follows the "indicates" edge to the likely disease, and from there via "treated with" to the right treatment. Every step is a stored, verified relationship — not a statistical gut feeling.
What makes it reliable
- The AI can only walk paths that actually exist in the graph — no invented shortcuts.
- If there's no path, it says "I don't know" instead of inventing something.
- Every answer is traceable: "symptom X → disease Y → treatment Z".
- New knowledge means adding new nodes and edges — the rest stays stable.
From toy to real solution
This example has four nodes. A real Plant-Doctor graph has many hundreds — plant species, symptoms, causes, location factors, treatments — cleanly connected and curated. The principle stays identical: recognise, follow, recommend, substantiate.
“In a knowledge graph the AI walks a verified path — from symptom via disease to treatment — instead of statistically guessing an answer.”
“A real Plant-Doctor knowledge graph connects hundreds of verified facts — plants, symptoms, causes, treatments — on the same principle as the four-node example.”
More in the knowledge-graph hub
Frequently asked
Is a real knowledge graph as simple as this example?
The principle yes, the scale no. Real graphs have many hundreds to thousands of nodes and edges plus extra conditions — but they work on exactly this logic of nodes, edges and verified paths.
Where do the connections in the graph come from?
From curated expert knowledge: expertise, verified sources, rules. That curation is the real work — and the reason the answers are reliable.
Can I get something like this for my field?
If your field has verified knowledge with clear relationships — yes. That's exactly what we build. The best way to start is a bounded 30-day pilot.
A graph like this for your knowledge?
Tell us about your field — we'll show what your own knowledge graph could look like.
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