Topic

Knowledge Graphs

A knowledge graph stores facts as entities and the relationships between them, so a system can follow connections instead of matching text. It gives AI a structured memory it can check, and gives a business one shared map of its products, customers and topics. These guides cover when a graph earns its upkeep and how it works alongside vector search.

2 guides on Knowledge Graphs.

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 IntelligencePersonasSearch DemandKnowledge GraphsOntologyClassificationEmbeddingsRAGAEOGEOAI AgentsContent 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 GraphsVector DatabasesOntologyGraphRAGRAGRetrieval-Augmented GenerationContext GraphSemantic SearchAEOGEOAI AgentsSchema.org

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Related topics

AEOAI AgentsGEOOntologyRAGClassificationContent StrategyContext Graph
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