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A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers

Towards Data Science angela shi July 7, 2026
A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers
AI Summary— plain English for professionals

# Making AI Better at Understanding Your Company's Documents Companies are getting smarter about how AI systems read and answer questions about PDFs, contracts, and other business documents. Instead of treating every document as a jumble of text, this new approach teaches AI to understand the actual structure—like table of contents and relationships between sections—so it can find the right information faster and give more accurate answers. The result is systems that work reliably enough to use in real business situations, not just experiments.

Enterprise Document Intelligence [Vol.1 #9A] - Same paper, same question as Article 1. One upgraded contract per brick: document parsing, question parsing, retrieval, generation The post A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers appeared first on Towards Da

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