// Link · 2 March 2026

Embeddings Aren’t Magic: The Geometry of How Vectors Encode Meaning

Modern AI converts text, images, and audio into high-dimensional vectors called embeddings. Similarity becomes geometry, measured using L1, L2, Chebyshev, or cosine metrics. Each distance metric reshapes how meaning is interpreted. Vector databases rely on nearest-neighbor search in this space. Inte...

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