AI RESEARCH
Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG
arXiv CS.CL
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ArXi:2604.12047v1 Announce Type: new PDF files are primarily intended for human reading rather than automated processing. In addition, the heterogeneous content of PDFs, such as text, tables, and images, poses significant challenges for parsing and information extraction. To address these difficulties, both practitioners and researchers are increasingly developing new methods, including the promising Retrieval-Augmented Generation (RAG) systems to automated PDF processing.