  Current question answering systems leveraging retrieval augmented generation
perform well in answering factoid questions but face challenges with
non-factoid questions, particularly how-to queries requiring detailed
step-by-step instructions and explanations. In this paper, we introduce Thread,
a novel data organization paradigm that transforms documents into logic units
based on their inter-connectivity. Extensive experiments across open-domain and
industrial scenarios demonstrate that Thread outperforms existing data
organization paradigms in RAG-based QA systems, significantly improving the
handling of how-to questions.
