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I can explain Embedding Model
The model that turns text into meaning-coordinates for search.
An embedding model maps text or other inputs into dense vectors used for similarity search, clustering, and RAG retrieval.
Sticky trick
Different embedding models = different maps. Don't mix spaces casually.
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In plain English, what is Embedding Model?
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