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Cosine Retrieval
Vector length should not dominate relevance.
Your experiment
rank_vectors(query, documents, k) returns the top k document indices by descending cosine similarity, breaking ties by smaller index. Empty or zero vectors score 0. Dimensions match and k >= 0.
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What to look for
Vector length should not dominate relevance. Normalize dot products by both norms, give zero vectors score zero, and keep stable indices for tied documents.
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