Topic

Ontology

An ontology defines the types of things in a domain and how they may relate: what counts as a product, a person or a fault, and which connections are allowed. It is the schema behind a knowledge graph, and the reason two systems can agree on what a word means. Getting it right early saves years of cleanup.

2 guides on Ontology.

Reference Guide · 38 min read

User-First Intelligence (UFI)

User-First Intelligence (UFI) starts with people, not keywords. It follows the people you serve to every place they ask for help (search engines, AI assistants, video, social platforms, communities and reviews), sorts what they say onto one map of your industry, and turns the gaps into decisions about what to build, publish or fix, in the format and on the platform each audience prefers.

User-First Intelligence Personas Search Demand Knowledge Graphs Ontology Classification Embeddings RAG AEO GEO AI Agents Content Strategy

Reference Guide · 16 min read

Graph Types for AI Agents

The six structures behind modern AI search, taxonomy, ontology, knowledge graph, information graph, context graph, vector / embedding index, what each one actually is, when to use which, and how they combine into GraphRAG. One dataset, six structures, visualized in 2D and 3D.

Knowledge Graphs Vector Databases Ontology GraphRAG RAG Retrieval-Augmented Generation Context Graph Semantic Search AEO GEO AI Agents Schema.org

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Auto Ontology: a semantic layer that gives AI agents shared business meaning repo · NVIDIA

From the AI Roadmap. Every link was checked.

AEO AI Agents GEO Knowledge Graphs RAG Classification Content Strategy Context Graph

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Ontology

User-First Intelligence (UFI)

Graph Types for AI Agents

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