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Let Llms Read Your Documents With Speed And Accuracy

Source
upstage.ai
Author
Upstage
Date

Context

Upstage’s Document Parse prepares complex files for language-model workflows by converting document content into HTML or Markdown. The difficulty is preserving layout and table structure while extracting the content, so a downstream system receives an organized representation it can use for search or answering questions. The product article positions parsing as a separate step before those tasks. Its free playground returns HTML for the first page of an uploaded document with each layout element highlighted, which lets a user see what the parser extracted. The article’s speed and accuracy comparisons are Upstage’s own claims and are not evaluated here.

Terms in this piece · Glossary
  • RAG — Retrieval-augmented generation — fetching relevant documents first and pasting them into the model's context so it answers from your data instead of memory.
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