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

Explore how vector embeddings and a single SQL query expose the chasm between semantic similarity and lexical overlap across 2.9 million charity pairs.