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Scoring Documents Against a Content Model Without an LLM

TL;DR AI

Key summary

2 min read
  1. A Google Docs-to-Contentful import pipeline now segments documents into scopes using tabs and headings.

  2. Each scope is scored against every CMS content type with Jaccard similarity over tokenized terms.

  3. Only the top matches are sent to an LLM, reducing token use and improving mapping quality.

  4. The system also stores matches, top candidates, and review flags for each scope.

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