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