During August 2025, Iym070010 developed an end-to-end text chunking example script and document processing pipeline for the aigc-apps/PAI-RAG repository. The solution leveraged Python and data engineering techniques to process multiple document types, incorporating file handling, Markdown conversion, and image management within a unified workflow. By introducing custom PairaG file readers and managing dependencies, Iym070010 improved both performance and reliability of the data preparation process. This work established a robust foundation for scalable content processing, supporting downstream analysis and large language model integration. The depth of the implementation reflects a strong focus on extensibility and future feature expansion.