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Building a Vector Similarity Detector: How One SQL Query Over 2.9M Charity Pairs Reveals the Gap Between Meaning and Spelling

This story is from 2026-09-07. It is preserved in the archive; the latest stories are on the live feed.

Originally published on tamiz.pro . You feed two names into a matching engine and get a similarity score. Easy enough. But what happens when two strings look nothing alike yet mean the same thing — or look nearly identical but mean completely different things? This isn't a hypothetical. When we ran…

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  1. 2026-09-07 00:01 · DEV Community — AI
    Building a Vector Similarity Detector: How One SQL Query Over 2.9M Charity Pairs Reveals the Gap Between Meaning and Spelling

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