Numerical representations of content that allow semantic similarity search. Vector embeddings underpin most modern retrieval systems including those behind AI search.
Numerical representations of content that allow semantic similarity search. Vector embeddings underpin most modern retrieval systems including those behind AI search.
Content that embeds well — clean topical focus, semantic coherence — is more retrievable.
This term is part of the canonical AI Discovery vocabulary, published in the Body of Knowledge alongside the Eight Discovery Signals and The Methodology Handbook. The full glossary contains 56 terms — the operative vocabulary for AI Discovery practitioners.
Practitioners certified through Certified™ are tested on the AI Discovery vocabulary. This glossary is the institutional reference.
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