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Back to NLP Topics Reference for Knowledge Graph (KG) concepts. Applies to both Few-Shot and Ontology KG models unless noted. See Knowledge AI Introduction and Build a Knowledge Graph.
The KG is limited to 20,000 nodes/terms and 50,000 FAQs.

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Terms / Nodes

Terms (nodes) are the structural building blocks of an ontology. They define domain concepts and are organized hierarchically.

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Node Hierarchy

The KG engine doesn’t use parent-child relationships when evaluating FAQ matches. All nodes are considered equally, regardless of position.

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Node / Term Types

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Tags

Tags work like terms but aren’t shown in the KG ontology view (avoids clutter). You can add synonyms and traits to tags, just like terms.

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Synonyms

Synonyms expand the set of words that can match a term, reducing the need for training with alternative questions.

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Synonym Types

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Traits

A trait is a collection of user utterances that characterize the nature of a query. Traits are applied to terms across the ontology to filter irrelevant suggestions.
  • If the user’s utterance matches a trait, the assistant searches only the nodes associated with that trait.
  • Nodes without the matching trait are ignored.
See Traits.

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Intents

Each FAQ node can contain two types of intents:
  • For Few-Shot KGs, you can add all FAQs directly to the root node (no ontology required).
  • Default terms aren’t available in Few-Shot KGs, except when migrating from an Ontology KG (existing Default terms remain until edited, then become Organizer terms).
  • Path-Level Synonyms are supported only for Mandatory Terms and Tags.