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PandaWiki — Self-host PandaWiki 是一款 AI 大模型驱动的开源知识库搭建系统,帮助你快速构建智能化的 产品文档、技术文档、FAQ、博客系统,借助大模型的力量为你提供 AI
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chaitin

PandaWiki — Self-host PandaWiki 是一款 AI 大模型驱动的开源知识库搭建系统,帮助你快速构建智能化的 产品文档、技术文档、FAQ、博客系统,借助大模型的力量为你提供 AI

PandaWiki 是一款 AI 大模型驱动的开源知识库搭建系统,帮助你快速构建智能化的 产品文档、技术文档、FAQ、博客系统,借助大模型的力量为你提供 AI 创作、AI 问答、AI 搜索等能力。

10.2k🍴 1.0kTypeScript📜 agpl-3.0#ai#docs#document#documentation

PandaWiki

PandaWiki 是一款 AI 大模型驱动的开源知识库搭建系统,帮助你快速构建智能化的 产品文档、技术文档、FAQ、博客系统,借助大模型的力量为你提供 AI 创作、AI 问答、AI 搜索等能力。

10,167 stars on GitHub · 🍴 1,011 forks · 📜 License: agpl-3.0 · 💻 Language: TypeScript

What is PandaWiki?

Integrating LLMs into your documentation usually means cobbling together vector databases, retrieval pipelines, and custom frontends. PandaWiki packages a complete knowledge base system with native AI generation, semantic search, and conversational capabilities straight out of the box.

Topics: the project is tagged with popular topics:

  • 🏷️ ai
  • 🏷️ docs
  • 🏷️ document
  • 🏷️ documentation
  • 🏷️ kb
  • 🏷️ knownledge
  • 🏷️ llm
  • 🏷️ self-hosted
  • 🏷️ wiki

📸 Screenshots

PandaWiki

PandaWiki

PandaWiki

PandaWiki

PandaWiki

Quick install

See the README for detailed install instructions. Most projects support Docker — if the repo has a Dockerfile, use:

git clone https://github.com/chaitin/PandaWiki.git
cd PandaWiki
docker build -t PandaWiki .
docker run -d -p 8080:8080 PandaWiki

Minimum system requirements

Component Recommended
RAM 4096 MB
CPU 2 vCPU
Disk 50 GB SSD
OS Ubuntu 22.04 LTS / Debian 12
Docker 24.0+

⚡ Deploy fast on VSIS

Use the VSIS VPS Standard 4GB RAM / 2 vCPU / 50GB SSD (~150k/tháng) plan from VSIS.NET — high-speed VN-based VPS, 24/7 support, ideal for running PandaWiki smoothly.

🎯 Benefits:

  • One-command docker compose up -d deploy in 2 minutes
  • Dedicated IPv4, root access, unmetered domestic bandwidth
  • Daily snapshot backup
  • Free install assistance from the VSIS team

👉 See matching VPS plans at vsis.net

Resources


Article compiled from GitHub data on 29/08/2026. Star/fork counts may have changed — see live numbers via the GitHub link.