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    Vector Similarity Algorithms Explained (Cosine, Dot Product, Euclidean)

    0:60
    Short Form
    Ethan
    December 25, 2025

    Summary

    All semantic search systems rely on vector similarity—but not all similarity metrics behave the same. In this video, I break down:

    short-form

    About this video

    All semantic search systems rely on vector similarity—but not all similarity metrics behave the same. In this video, I break down: * Cosine similarity and when to use it * Dot product and how magnitude affects ranking * Euclidean distance and what it measures * Why different systems choose different similarity algorithms This is the math layer that powers embeddings, k-NN search, and modern AI retrieval.