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

This article presents a production-grade RAG pipeline designed for PDF documents, focusing on relational parsing, table-of-contents retrieval, and typed answer generation. It details a modular approach covering document parsing, question parsing, retrieval, and generation to improve enterprise document intelligence. The pipeline aims to handle complex PDF structures for more accurate and context-aware responses.