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Cosine similarity measures how close two vectors are in direction, with a value range of -1 to 1; the closer the value is to 1, the more similar the semantics, and because it is insensitive to vector magnitude and stable to compute, it has become the most mainstream choice in RAG scenarios.
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10/13/2026
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