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- TESIGN / RADAR
- REPOSITORY CARD
- tencent/weknora
tencent/weknora
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
RANKS Rising 7d #14 · Rising 30d #31
AT A GLANCE
- LANGUAGE
- Go
- LICENSE
- Licence unconfirmed
- USAGE
- Unconfirmed — check before use.
- ACTIVITY
- last commit 3 days ago ()
- TOPICS
- agent
- agentic
- ai
- chatbot
- dsh-plugin
- embeddings
- evaluation
- generative-ai
- golang
- knowledge-base
- llm
- multi-tenant
- HOMEPAGE
- https://weknora.weixin.qq.com
- REPOSITORY
- GitHub ↗
- CATEGORY
- AI
A summary, not legal advice.
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. https://github.com/user-attachments/assets/19b28ce2-a62f-4f54-b289-c983576259bc 2:25 · 1080p · English narration & captions. It is organized around three core capabilities: RAG-based Quick Q&A for everyday lookups, a ReAct Agent that autonomously orchestrates retrieval, MCP tools, a tenant skill catalog , session-persistent Docker / E2B / Cube sandboxes 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. Cross-session long-term memory remembers who you are and what you keep asking about. Knowledge curation is equally hands-on: a tree-structured folder view preserves the directory layout of uploads, and…
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TIMELINE
- Repository created
- Last push
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