From Keyword Buckets to Meaning Clusters
Explain why embeddings group text by meaning rather than exact words alone.
Same customer feedback, two search approaches. What changed? customer insights analyst sorting paper feedback cards into rigid colored desk trays, exact-match filing setup, bright research office with glass wall and blue accents, no text, words, letters, numerals, logos. Before: an analyst sorts customer feedback into rigid keyword trays. Similar complaints are split apart because they use different wording. Before: exact-word folders https://oylytksvdaqzqcpcfhxp.supabase.co/storage/v1/object/public/omie-images/nugget-scenes/ee66694f-1a6d-4e5d-91b7-30167b8821c1-6.png same analyst viewing abstract semantic clusters of feedback cards connected by soft lines on a large screen, organized research office with green and blue accents, no text, words, letters, numerals, logos. After: the analyst reviews semantic clusters where…
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