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Why Flat-Text PDF Parsing Breaks RAG (And How Spatial 2D Grounding Fixes It)

This story is from 2026-10-29. It is preserved in the archive; the latest stories are on the live feed.

When building Retrieval-Augmented Generation (RAG) pipelines, the standard ingestion step usually looks like this: Read a PDF file. Dump all text content into a single flat string. Split the string into 500-token chunks with some overlap. Generate vector embeddings and store them in a vector databa…

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  1. 2026-10-29 22:23 · DEV Community — AI
    Why Flat-Text PDF Parsing Breaks RAG (And How Spatial 2D Grounding Fixes It)

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