Topic

Semantic Search

Semantic search matches meaning instead of exact words, so a question can find a page that answers it in different language. It usually works by comparing embeddings, often combined with keyword search because each one misses what the other catches. It is the retrieval layer behind most RAG systems, and increasingly behind how search engines read content.

1 guide on Semantic Search.

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 AgentsContext GraphGEOGraphRAGKnowledge GraphsOntologyRAG
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