
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。
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PandaWiki is a collaborative platform for creating and editing wiki pages. It allows users to easily collaborate on documentation, knowledge sharing, and information dissemination. With features like version control, user permissions, and rich text editing, PandaWiki simplifies the process of creating and managing wiki content. Whether you are working on a team project, organizing information for personal use, or building a knowledge base for your organization, PandaWiki provides a user-friendly and efficient solution for creating and maintaining wiki pages.
README:
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。
PandaWiki 控制台 | Wiki 网站前台 |
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- AI 驱动智能化:AI 辅助创作、AI 辅助问答、AI 辅助搜索。
- 强大的富文本编辑能力:兼容 Markdown 和 HTML,支持导出为 word、pdf、markdown 等多种格式。
- 轻松与第三方应用进行集成:支持做成网页挂件挂在其他网站上,支持做成钉钉、飞书、企业微信等聊天机器人。
- 通过第三方来源导入内容:根据网页 URL 导入、通过网站 Sitemap 导入、通过 RSS 订阅、通过离线文件导入等。
你需要一台支持 Docker 20.x 以上版本的 Linux 系统来安装 PandaWiki。
使用 root 权限登录你的服务器,然后执行以下命令。
bash -c "$(curl -fsSLk https://release.baizhi.cloud/panda-wiki/manager.sh)"
根据命令提示的选项进行安装,命令执行过程将会持续几分钟,请耐心等待。
关于安装与部署的更多细节请参考 安装 PandaWiki。
在上一步中,安装命令执行结束后,你的终端会输出以下内容。
SUCCESS 控制台信息:
SUCCESS 访问地址(内网): http://*.*.*.*:2443
SUCCESS 访问地址(外网): http://*.*.*.*:2443
SUCCESS 用户名: admin
SUCCESS 密码: **********************
使用浏览器打开上述内容中的 “访问地址”,你将看到 PandaWiki 的控制台登录入口,使用上述内容中的 “用户名” 和 “密码” 登录即可。
PandaWiki 是由 AI 大模型驱动的 Wiki 系统,在未配置大模型的情况下 AI 创作、AI 问答、AI 搜索 等功能无法正常使用。
首次登录时会提示需要先配置 AI 模型,根据下方图片配置 “Chat 模型”。
推荐使用 百智云模型广场 快速接入 AI 模型,注册即可获赠 5 元的模型使用额度。 关于大模型的更多配置细节请参考 接入 AI 模型。
一切配置就绪后,你需要先创建一个 “知识库”。
“知识库” 是一组文档的集合,PandaWiki 将会根据知识库中的文档,为不同的知识库分别创建 “Wiki 网站”。
关于知识库的更多配置细节请参考 知识库设置。
如果你顺利完成了以上步骤,那么恭喜你,属于你的 PandaWiki 搭建成功,你可以:
- 访问 控制台 来管理你的知识库内容
- 访问 Wiki 网站 让你的用户使用知识库
欢迎加入我们的微信群进行交流。
欢迎提交 Pull Request 或创建 Issue 来帮助改进项目。
本项目采用 GNU Affero General Public License v3.0 (AGPL-3.0) 许可证。这意味着:
- 你可以自由使用、修改和分发本软件
- 你必须以相同的许可证开源你的修改
- 如果你通过网络提供服务,也必须开源你的代码
- 商业使用需要遵守相同的开源要求
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