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Day 12: Vector Databases — Storing and Searching Enterprise Knowledge

This story is from 2026-10-12. It is preserved in the archive; the latest stories are on the live feed.

Yesterday you turned text into embeddings. Now you have a new problem: where do millions of those vectors live , and how do you find the closest ones to a question fast ? In plain terms: A normal database is a filing cabinet with labelled folders. You ask for the folder called "open" and it hands i…

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  1. 2026-10-12 14:01 · DEV Community — AI
    Day 12: Vector Databases — Storing and Searching Enterprise Knowledge

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