Embeddings
Numerical representations that place similar meanings close together.
Technical Term
Full explanation
Embeddings are numerical representations of words, phrases, or concepts that place similar meanings close together in mathematical space, allowing AI systems to compare meaning rather than exact wording.
Why this matters
They are the mechanism behind meaning-based matching, which is why clearly defined language beats repeated keywords.
Where this sits
Embeddings belongs to AI & Search Infrastructure, one of the seven layers of the Aingworth Glossary. The technical vocabulary behind the interfaces. Useful for understanding how the systems work, without becoming the center of the conversation.
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