Hallucination is not the model lying. It is the model filling a gap with the most probable text when it has no real passage to rely on. PDFs trigger this constantly.
Why PDFs specifically? Extraction breaks on them:
- multi-column layouts read out of order
- tables flatten into garbage
- scanned pages need OCR you may not be running
- headers and footers leak into body text
If the system never cleanly reads the content, the model never had the right material, so it improvises.
The fix is retrieval and grounding, not a bigger model. Pull the correct passage, answer from it, cite the source, and refuse when the answer is not present.
CustomGPT.ai reduces hallucination by anchoring responses to your real content. Every answer traces back to its page, and it says so when the source has no answer.
Better extraction beats a flashier model when accuracy is the goal.
Why it happens: https://www.chitika.com/why-does-claude-hallucinate-when-answering-questions-from-pdfs/
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