Tencent/WeKnora

README excerpt

English 简体中文 日本語 한국어 Overview • Architecture • Key Features • Getting Started • API Reference • Developer Guide 💡 WeKnora — Turn Documents into Living Knowledge with RAG, Agents and Auto-Wiki 📌 Overview WeKnora is an open-source, LLM-powered knowledge framework built for enterprise-grade document understanding, semantic retrieval, and autonomous reasoning. It is organized around three core capabilities: RAG-based Quick Q&A for everyday lookups, a ReAct Agent that autonomously orchestrates retrieval, MCP tools and web search to handle complex multi-step tasks, and a brand-new Wiki Mode in which agents distill raw documents into a self-maintaining, interlinked markdown knowledge base with an interactive knowledge graph, complete with manual editing, revision history and one-click rollback. Knowledge curation is equally hands-on: a tree-structured folder view preserves the directory layout of uploads, and chunk editing with revision history lets retrieval chunks be edited, diffed and reverted like documents. Combined with multi-source ingestion (Feishu wiki / Feishu Drive / Notion / Yuque / RSS, and growing), website embed widgets for publishing agents to external sites, scoped API …

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