Yuque is Ant Group’s cloud knowledge-base and document platform, organizing team knowledge into structured libraries with built-in AI writing and Q&A.
Yuque’s core idea is the knowledge base: documents are organized as tree-structured collections that become a searchable team memory, rather than links scattered through chat threads. Its editor mixes Markdown, tables, whiteboards, mind maps, and attachments in one flow, which suits technical documentation, product specs, and meeting records. AI features continue and polish writing on demand, and can answer questions grounded in your knowledge base so new members find answers fast. Fine-grained permissions and public sharing make the same system work for internal wikis and published docs.
Many teams replace scattered shared documents with Yuque because the knowledge-base structure gives new hires a curriculum they can walk through, while AI Q&A turns accumulated docs into a conversational knowledge source. Permission models support both public documentation and tightly restricted internal material, and the editing experience is tuned for long-form Chinese writing.
Teams typically archive project docs in knowledge bases — requirements, meeting notes, and retrospectives under one directory. AI Q&A proves most useful during onboarding and cross-team work, answering questions like how similar problems were handled before. Public sharing also lets technical teams maintain open-source docs and help centers cheaply.
Individual plans are free for basic storage and collaboration; team and enterprise subscriptions add capacity, advanced permissions, and administration.
Teams, developers, and content organizations in China that need structured documentation and knowledge retention. It suits technical and product teams building a durable knowledge system in Chinese.