Qanything

Qanything is an AI-powered local knowledge base question-answering system developed by NetEase Youdao, built on its proprietary Ziyue large language model and RAG (Retrieval-Augmented Generation) technology. It enables users to upload diverse documents and quickly obtain accurate, context-aware answers based on their own data, rather than generic internet content. The primary purpose of Qanything is to help individuals and organizations efficiently search, understand, and reuse scattered information stored across multiple file types and sources.

The platform supports a wide range of document formats, including PDF (pdf), Word (docx), PowerPoint (pptx), Excel (xlsx), Markdown (md), email (eml), plain text (txt), images (jpg, jpeg, png), CSV (csv), and web pages (html). Qanything indexes and semantically analyzes uploaded content, then uses retrieval-enhanced generation to produce precise, source-grounded responses, often with citations to the original documents. Its local knowledge base architecture allows users to build private, domain-specific corpora and maintain control over their data. The system is designed to handle complex queries, cross-document reasoning, and multi-step questions that require synthesizing information from multiple files.