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Brian Kung · Jun 11, 2024

Tiny overly excited explainer about vector search

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Random thing that I got excited about this morning because I wanted to add really nice search to my personal journal: vector embeddings. Imagine a 3D Cartesian space, and in it there are words at various (x, y, z) points. Similar words are placed in similar locations. In this space, "king" and "queen" would be close to each other, whereas "beggar" would be far away. This is essentially what a…

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