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Document Processing

Turn files into clean, typed elements with provenance: choose a parser tier per file, keep tables as structure, clean without deleting content, dedupe without dropping new versions, and gate the output.

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Core10 min readFirst readRAG Architecture

After this section you can

  • Choose a parser tier for each file from its cost, licence and where it runs
  • Keep reading order, tables and each element’s page and position through parsing, and clean without deleting content
  • Explain why a near-duplicate re-send replaces the old version, and gate parser output before it is indexed
03

Document Processing: Parse to Structure

The vector can only be as good as the text you feed it.

Key idea

Every later stage inherits what parsing keeps: a swapped column, a flattened table or a deleted clause is invisible to chunking, embedding and retrieval. Parse to typed elements, clean by tested rules, gate the index.

One page in, typed elements out; furniture dropped
refund-policy.pdf · page 4 · 595 × 842 pt page_headerpage_footer 123456
Element and boxText
1 section_header
50, 90, 285, 124
4. Refunds
2 text
50, 138, 285, 400
Refunds are accepted…
3 text
50, 414, 285, 640
Table 1 shows how long…
4 table
310, 90, 545, 330
<table> 4 rows × 2 columns
5 picture
310, 346, 545, 590
no text; its caption is 6
6 caption
310, 598, 545, 632
Figure 2. How a refund is…
page_header page_footerfurniture: repeats on every page, dropped

Illustrative Acme page; boxes in points.

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