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Document Retrieval-Aware Chunking (D-RAC): Universal Retrieval-Aware Ingestion of Enterprise Documents via PDF Normalization and Multimodal Markdown Conversion

A new method called Document Retrieval-Aware Chunking (D-RAC) aims to make ingestion of enterprise documents into Retrieval-Augmented Generation (RAG) systems universal by normalizing PDFs and converting them to multimodal Markdown. The approach targets heterogeneous formats including PDFs, Word documents, presentations, and scans whose content is locked inside complex visual layouts, multi-column pages, and dense tables, which rule-based extraction and OCR struggle to handle.

read1 min views2 publishedSep 22, 2026

Retrieval-Augmented Generation (RAG) systems over enterprise knowledge bases must ingest heterogeneous document formats -- PDFs, Word documents, presentations, and scans -- whose content is locked inside complex visual layouts, multi-column pages, and dense tables. Rule-based extraction and OCR dest

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