English · 简体中文 · 日本語 · 한국어 Overview · Quick Start · What's New · Features · Clients · Docs · Development Overview WeKnora is an open-source, LLM-powered knowledge framework for enterprise document understanding, semantic retrieval and reasoning. It brings a team's documents together so they can be searched, reasoned over and kept up to date. https://github.com/user-attachments/assets/5722b10d-d04d-49ed-a6cc-635a8c77d91f 1:52 · 1080p · No narration, English on-screen text Use RAG to look things up, the agent for multi-step tasks, and the wiki to organize knowledge.
| Stars | 33,058 |
| Forks | 4,400 |
| Language | Go |
| Category | AI 工具 |
| Quality Score | 62.6259999882814/100 |
| Open Issues | 595 |
| Last Updated | 2026-10-11 |
| Created | 2025-07-22 |
| Platforms | go |
| Est. Tokens | ~23k |
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WeKnora is Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.. It is categorized as a AI 工具 with 33.1k GitHub stars.
WeKnora is primarily written in Go. It covers topics such as agent, agentic, ai.
You can find installation instructions and usage details in the WeKnora GitHub repository at github.com/Tencent/WeKnora. The project has 33.1k stars and 4400 forks, indicating an active community.