# chaitin/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。

Repository: https://github.com/chaitin/PandaWiki
Canonical: https://ross.abutalabs.com/products/pandawiki
Homepage: https://pandawiki.docs.baizhi.cloud/
Language: TypeScript
License: AGPL-3.0
License Family: copyleft
Topics: ai, document, kb, knownledge, llm, wiki, docs, documentation, self-hosted
Last push: 2026-08-21T03:43:52+00:00

## Health v2 (maintenance only)
Score: 80/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 98, release rhythm 85, longevity 33
- inputs: {"age_days": 475, "days_push": 12, "days_rel": 20, "gap_med": 0.0, "n_releases_24m": 327}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10156, forks 1007 (observed 2026-08-28T04:10:39.712993+00:00)

## What it is
PandaWiki is an open-source, AI large-language-model-driven knowledge base system for building intelligent product docs, technical documentation, FAQ sites, and blogs. It provides AI-assisted authoring, AI Q&A, and AI search, with rich-text editing, multi-format export, and integrations as web widgets or DingTalk/Feishu/WeCom chatbots.

## Use cases
- build an AI-powered product documentation site
- create a self-hosted wiki with AI question answering
- set up an FAQ knowledge base with smart search
- deploy a documentation portal with AI-assisted writing
- add an AI chatbot widget to my website
- import docs from URLs, sitemaps, or RSS into a knowledge base
- build a customer support knowledge base with intelligent search

## When to choose
- you want a self-hosted wiki/docs site with built-in AI Q&A, search, and authoring
- you need to publish product docs, FAQs, or a blog with LLM-powered assistance
- you want to embed an AI assistant widget or chatbot (DingTalk, Feishu, WeCom) on top of your docs
- you need to import content from URLs, sitemaps, RSS, or offline files

## When to avoid
- you need a lightweight static docs generator without LLM dependencies or API costs
- you cannot run Docker on a Linux server (it requires Docker 20.x+)
- you need permissive licensing - it is AGPL-3.0 with some features gated to a paid version
- you only need a simple markdown file-based wiki without AI features

## Facets
- artifact type: application
- maturity: active
- function: rag, chatbot, search-engine, documentation, web-framework, chat-interface
- domain: documentation, self-hosted, large-language-models, web-development
- platform: self-hosted
- tags: wiki, knowledge-base, ai-qa, ai-search, rich-text-editor, docs-site, faq, chatbot-integration, rss-import, agpl, knowledge-management, retrieval-augmented-generation, linux, docker, web-server, typescript

## Member repositories
- chaitin/PandaWiki (main) score 80

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:39.712993+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:19:40.404882+00:00, confidence not recorded.
  - readme: https://github.com/chaitin/PandaWiki (fetched 2026-08-28T04:10:39.712993+00:00, sha 662a1a72a2f0)
  - homepage: https://pandawiki.docs.baizhi.cloud/ (fetched 2026-08-29T08:19:40.472717+00:00, sha b52a95ccd0a0)
- Data as of 2026-08-30T08:39:29.467469+00:00.