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Beyond extract_text: The Two Layers of a PDF That Drive RAG Quality

Towards Data Science Kezhan Shi June 10, 2026
Beyond extract_text: The Two Layers of a PDF That Drive RAG Quality
AI Summary— plain English for professionals

# When AI Reads Your PDFs, It Matters *How* It Reads Them If you're using AI tools to search through business documents, the quality of your results depends on understanding two hidden layers: the document's metadata (like creation date and software) and what's actually on each page (whether it's text, scanned images, tables, or multiple columns). Most people only focus on extracting the text itself, but ignoring these layers means your AI will miss important context and deliver worse answers to your questions.

Enterprise Document Intelligence [Vol.1 #5A] - Document signals (metadata, native TOC, source software) and page-level content (text vs scans, tables, images, columns, page profile) The post Beyond extract_text: The Two Layers of a PDF That Drive RAG Quality appeared first on Towards Data Science.

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