wdoc is a RAG system developed by Olicorne (a medical student) to address document querying and summarization using retrieval-augmented generation technology. It supports multiple file types (such as PDFs, web pages, YouTube videos, etc.) and combines various language models to provide high-recall and high-precision query results. wdoc's main advantages include robust support for multiple file types, efficient retrieval capabilities, and flexible extensibility. It is suitable for researchers, students, and professionals, helping them process large amounts of information quickly. wdoc is currently under development, and the developer welcomes user feedback and feature requests to continuously improve the product.