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osmarks 2025-03-09 21:01:48 +00:00 committed by wikimind
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@ -31,6 +31,7 @@ The job of a search engine is to retrieve useful information for users. This is
* "Links" aren't actually trivial. Would need to do substantial work to e.g. find reference targets in poorly digitized papers.
* We need OCR to understand PDFs and images properly (even with a native multimodal encoder OCR is probably necessary for traning). For some reason there are no good open-source solutions. This could maybe be fixed with a synthetic data approach (generate corrupted documents, train on those).
* "Documents" can be quite long and we want to be able to find things in e.g. a book with ~paragraph granularity whilst still understanding the context of the book. Consider [[https://arxiv.org/abs/2004.12832]], hierarchical systems? It would be somewhat cursed, but could index entire book as one vector then postprocess-select paragraphs.
* So much tacit knowledge is in videos. Oh no. Maybe we can get away with an autotranscriber and frame extraction.
= Filtering