Stop Returning Flat Text from a PDF: The Relational Shape RAG Needs

# The Real Problem With How AI Reads PDFs Most AI tools flatten PDFs into plain text, losing crucial information like page numbers, images, and how sections connect to each other—kind of like photocopying a textbook and losing all the structure that makes it useful. A better approach organizes PDF content into related pieces (tables, images, cross-references, captions) so AI can actually understand how different parts of a document relate to each other. This matters because when AI understands document structure, it can answer your questions more accurately instead of pulling random text snippets.
Enterprise Document Intelligence [Vol.1 #5B] - One PDF in, a relational set of DataFrames out: lines, pages, TOC, images, cross-references, captions, spans, and a parsing summary The post Stop Returning Flat Text from a PDF: The Relational Shape RAG Needs appeared first on Towards Data Science.
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