Unverified50% confidenceFactExact time
Embedding models are deep neural networks that map text into a fixed-dimensional dense vector space (such as 768 dimensions or 1536 dimensions); cosine similarity is commonly used to measure semantic closeness, with a value range from -1 to 1.
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50%
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Long-term
Relevance
10/13/2026
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