From PDF to RAG-Ready: Evaluating Document Conversion Frameworks for Domain-Specific Question Answering 事件

From PDF to RAG-Ready: Evaluating Document Conversion Frameworks for Domain-Specific Question Answering arXiv:2604.04948v2 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) systems depend critically on the quality of document preprocessing, yet no prior study has evaluated PDF processing frameworks by their impact on downstream question-answering accuracy. We address this gap through a systematic comparison of four open-source PDF-to-Markdown conversion frameworks, Doc