Card #2655 · Hugging Face Hub
RAG failure in whole-document analysis and PDF processing
Merchants and users struggle with RAG systems failing to accurately process long documents, such as novels, often ignoring the provided files or producing inaccurate results. The pain stems from the loss of global context during chunking and difficulties in extracting clean text from PDFs.
Pain score
0.52/ 1.00 · weighted product of four components
Reach0.63distinct authors (log-normalized)
Recency0.78freshness decay, half-life months
Engagement0.22upvotes + comments, normalized
Monetization0.50willingness-to-pay cues in evidence
§ Evidence — 3 verified quotes
None of them seem to actually read the pdf file I provide. At best, it seems to search the internet for details and create something from that.
I think one of the biggest issues is that chunking + embeddings break the original document structure. RAG can retrieve relevant slices pretty well, but it often misses the overall context and relationships between parts of the data.
the model appears to ignore the file or invent details.
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