A standard chunker will accept scanned documents wholesale, splitting pages, computing embeddings for the text output by the OCR layer and storing them in the vector database, so that embeddings of noisy text still land near the correct region of the vector space, chunk cosine similarity during retrieval looks normal, and the generator gives confident answers on a contaminated premise, with the error happening silently.