LLM-boosted Data Deduplication Suite

LLM-Boosted Deduping for 52,000 Rows (for ~5¢): GoldenCheck, GoldenFlow & GoldenMatch

This episode shows how the Golden Suite (GoldenCheck, GoldenFlow, and GoldenMatch) uses an optional, provider-agnostic LLM boost to handle the “hard cases” in large-scale deduplication and data cleaning, illustrated with 52,000 UK school records where academy conversions create near-duplicate entries. GoldenCheck’s LLM mode found 23 additional issues missed by the statistical profiler, including six errors where name columns contained embedded numbers. GoldenFlow’s standard transforms fixed over 200,000 cells, while the LLM corrector helps with messy inputs like CRM exports by catching misspellings. GoldenMatch applies LLMs only to borderline similarity scores (0.75–0.95), clustering 47,000 records and resolving tricky name variants at the same postcode. Costs are budget-capped and total about five cents for 52,000 rows.

00:00 Fuzzy Matching Limits
00:27 LLM Boost Overview
00:44 GoldenCheck Findings
01:12 GoldenFlow Transformations
01:34 GoldenMatch Borderlines
02:05 Opt In Setup
02:15 Cost Breakdown
02:24 Try It Yourself

https://bensevern.dev/
https://github.com/benzsevern/
https://benzsevern.substack.com/

Видео LLM-boosted Data Deduplication Suite канала Ben Severn