Commit cd2fd77d by archer

docs

parent 8be1834c
...@@ -7,22 +7,22 @@ Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接 ...@@ -7,22 +7,22 @@ Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接
🎉 [fastgpt.run](https://fastgpt.run/) 🎉 [fastgpt.run](https://fastgpt.run/)
🎉 [ai.fastgpt.run](https://ai.fastgpt.run/) 🎉 [ai.fastgpt.run](https://ai.fastgpt.run/)
![Demo](docs/.github/demo.png?raw=true 'demo') ![Demo](.github/demo.png?raw=true 'demo')
#### 知识库原理图 #### 知识库原理图
![KBProcess](docs/.github/KBProcess.jpg?raw=true 'KBProcess') ![KBProcess](.github/KBProcess.jpg?raw=true 'KBProcess')
## 👨‍💻 开发 ## 👨‍💻 开发
项目技术栈: NextJs + TS + ChakraUI + Mongo + Postgres(Vector 插件) 项目技术栈: NextJs + TS + ChakraUI + Mongo + Postgres(Vector 插件)
这是一个平台项目,非单机项目,除了模型调用外还涉及非常多用户的内容。 这是一个平台项目,非单机项目,除了模型调用外还涉及非常多用户的内容。
[本地开发 Quick Start](docs/dev/README.md) [本地开发 Quick Start](docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/quick-start/dev.md)
## 🚀 私有化部署 ## 🚀 私有化部署
- [官方推荐 Sealos 部署](https://sealos.io/docs/examples/ai-applications/install-fastgpt-on-desktop) 无需服务器,代理和域名,高可用。 - [官方推荐 Sealos 部署](https://sealos.io/docs/examples/ai-applications/install-fastgpt-on-desktop) 无需服务器,代理和域名,高可用。
- [docker-compose 部署](docs/deploy/docker.md) 单机版。 - [docker-compose 部署](docSite/i18n/zh-Hans/docusaurus-plugin-content-docs/current/deploy/docker.md) 单机版。
- [由社区贡献的宝塔部署和本地运行教程](https://www.bilibili.com/video/BV1tV4y1y7Mj/?vd_source=92041a1a395f852f9d89158eaa3f61b4) 单机版。 - [由社区贡献的宝塔部署和本地运行教程](https://www.bilibili.com/video/BV1tV4y1y7Mj/?vd_source=92041a1a395f852f9d89158eaa3f61b4) 单机版。
## :point_right: RoadMap ## :point_right: RoadMap
......
# Dependencies
/node_modules
# Production
/build
# Generated files
.docusaurus
.cache-loader
# Misc
.DS_Store
.env.local
.env.development.local
.env.test.local
.env.production.local
npm-debug.log*
yarn-debug.log*
yarn-error.log*
# Website
This website is built using [Docusaurus 2](https://docusaurus.io/), a modern static website generator.
### Installation
```
$ yarn
```
### Local Development
```
$ yarn start
```
This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
### Build
```
$ yarn build
```
This command generates static content into the `build` directory and can be served using any static contents hosting service.
### Deployment
Using SSH:
```
$ USE_SSH=true yarn deploy
```
Not using SSH:
```
$ GIT_USER=<Your GitHub username> yarn deploy
```
If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch.
module.exports = {
presets: [require.resolve('@docusaurus/core/lib/babel/preset')],
};
# Docker 部署 FastGpt # docker-compose 快速部署
## 代理环境(国外服务器可忽略) ## 代理环境(国外服务器可忽略)
......
---
sidebar_position: 1
---
# FastGpt 是什么?
FastGPT 是一个基于向量 + LLM 模型的 AI 问答系统。可以帮助你快捷、高效的将内部文档进行训练。提供了丰富的调试工具便于调整数据,并可以通过 Iframe 或 API 的形式接入到你现有的应用中。
| | |
| -------------------------- | -------------------------- |
| ![Demo](./imgs/intro1.png) | ![Demo](./imgs/intro2.png) |
| ![Demo](./imgs/intro3.png) | ![Demo](./imgs/intro4.png) |
#### 知识库原理图
![KBProcess](./imgs/KBProcess.jpg?raw=true 'KBProcess')
## 🏘️ 交流群
添加 wx 进入:
![Demo](https://otnvvf-imgs.oss.laf.run/wx300.jpg)
## Powered by
- [TuShan: 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
- [Laf: 3 分钟快速接入三方应用](https://github.com/labring/laf)
- [Sealos: 快速部署集群应用](https://github.com/labring/sealos)
- [One API: 令牌管理 & 二次分发,支持 Azure](https://github.com/songquanpeng/one-api)
## 👀 其他
- [FastGpt 常见问题](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
- [docker 部署教程视频](https://www.bilibili.com/video/BV1jo4y147fT/)
- [公众号接入视频教程](https://www.bilibili.com/video/BV1xh4y1t7fy/)
- [FastGpt 知识库演示](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
## 第三方生态
- [luolinAI: 企微机器人,开箱即用](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
## 🌟 Star History
[![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)
# FastGpt 本地开发 # 本地开发
第一次开发,请先[部署教程](../deploy/docker.md),需要部署数据库. 第一次开发,请先[部署教程](../deploy/docker.md),需要部署数据库.
......
// @ts-check
// Note: type annotations allow type checking and IDEs autocompletion
const lightCodeTheme = require('prism-react-renderer/themes/github');
const darkCodeTheme = require('prism-react-renderer/themes/dracula');
/** @type {import('@docusaurus/types').Config} */
const config = {
title: 'FastGpt',
tagline: 'FastGpt',
favicon: 'img/favicon.ico',
url: 'https://fastgpt.run',
baseUrl: '/',
organizationName: 'labring',
projectName: 'FastGpt',
onBrokenLinks: 'throw',
onBrokenMarkdownLinks: 'warn',
i18n: {
defaultLocale: 'en',
locales: ['en', 'zh-Hans']
},
presets: [
[
'classic',
/** @type {import('@docusaurus/preset-classic').Options} */
({
docs: {
sidebarPath: require.resolve('./sidebars.js'),
editUrl:
'https://github.com/facebook/docusaurus/tree/main/packages/create-docusaurus/templates/shared/'
},
theme: {
customCss: require.resolve('./src/css/custom.css')
}
})
]
],
themeConfig:
/** @type {import('@docusaurus/preset-classic').ThemeConfig} */
({
image: 'img/docusaurus-social-card.jpg',
navbar: {
title: 'FastGpt',
logo: {
alt: 'My Logo',
src: 'img/logo.png'
},
items: [
{
type: 'doc',
docId: 'intro',
position: 'left',
label: 'Docs',
to: '/docs/Intro'
},
{ to: 'https://fastgpt.run', label: 'Start Now', position: 'left' },
{
href: 'https://github.com/labring/FastGPT',
label: 'GitHub',
position: 'right'
},
{
type: 'localeDropdown',
position: 'right'
}
]
},
prism: {
theme: lightCodeTheme,
darkTheme: darkCodeTheme
}
})
};
module.exports = config;
{
"theme.ErrorPageContent.title": {
"message": "页面已崩溃。",
"description": "The title of the fallback page when the page crashed"
},
"theme.ErrorPageContent.tryAgain": {
"message": "重试",
"description": "The label of the button to try again rendering when the React error boundary captures an error"
},
"theme.NotFound.title": {
"message": "找不到页面",
"description": "The title of the 404 page"
},
"theme.NotFound.p1": {
"message": "我们找不到您要找的页面。",
"description": "The first paragraph of the 404 page"
},
"theme.NotFound.p2": {
"message": "请联系原始链接来源网站的所有者,并告知他们链接已损坏。",
"description": "The 2nd paragraph of the 404 page"
},
"theme.AnnouncementBar.closeButtonAriaLabel": {
"message": "关闭",
"description": "The ARIA label for close button of announcement bar"
},
"theme.BackToTopButton.buttonAriaLabel": {
"message": "回到顶部",
"description": "The ARIA label for the back to top button"
},
"theme.blog.paginator.navAriaLabel": {
"message": "博文列表分页导航",
"description": "The ARIA label for the blog pagination"
},
"theme.blog.paginator.newerEntries": {
"message": "较新的博文",
"description": "The label used to navigate to the newer blog posts page (previous page)"
},
"theme.blog.paginator.olderEntries": {
"message": "较旧的博文",
"description": "The label used to navigate to the older blog posts page (next page)"
},
"theme.blog.archive.title": {
"message": "历史博文",
"description": "The page & hero title of the blog archive page"
},
"theme.blog.archive.description": {
"message": "历史博文",
"description": "The page & hero description of the blog archive page"
},
"theme.blog.post.readingTime.plurals": {
"message": "{readingTime} 分钟阅读",
"description": "Pluralized label for \"{readingTime} min read\". Use as much plural forms (separated by \"|\") as your language support (see https://www.unicode.org/cldr/cldr-aux/charts/34/supplemental/language_plural_rules.html)"
},
"theme.blog.post.readMoreLabel": {
"message": "阅读 {title} 的全文",
"description": "The ARIA label for the link to full blog posts from excerpts"
},
"theme.blog.post.readMore": {
"message": "阅读更多",
"description": "The label used in blog post item excerpts to link to full blog posts"
},
"theme.blog.post.paginator.navAriaLabel": {
"message": "博文分页导航",
"description": "The ARIA label for the blog posts pagination"
},
"theme.blog.post.paginator.newerPost": {
"message": "较新一篇",
"description": "The blog post button label to navigate to the newer/previous post"
},
"theme.blog.post.paginator.olderPost": {
"message": "较旧一篇",
"description": "The blog post button label to navigate to the older/next post"
},
"theme.blog.post.plurals": {
"message": "{count} 篇博文",
"description": "Pluralized label for \"{count} posts\". Use as much plural forms (separated by \"|\") as your language support (see https://www.unicode.org/cldr/cldr-aux/charts/34/supplemental/language_plural_rules.html)"
},
"theme.blog.tagTitle": {
"message": "{nPosts} 含有标签「{tagName}」",
"description": "The title of the page for a blog tag"
},
"theme.tags.tagsPageLink": {
"message": "查看所有标签",
"description": "The label of the link targeting the tag list page"
},
"theme.colorToggle.ariaLabel": {
"message": "切换浅色/暗黑模式(当前为{mode})",
"description": "The ARIA label for the navbar color mode toggle"
},
"theme.colorToggle.ariaLabel.mode.dark": {
"message": "暗黑模式",
"description": "The name for the dark color mode"
},
"theme.colorToggle.ariaLabel.mode.light": {
"message": "浅色模式",
"description": "The name for the light color mode"
},
"theme.docs.breadcrumbs.home": {
"message": "主页面",
"description": "The ARIA label for the home page in the breadcrumbs"
},
"theme.docs.breadcrumbs.navAriaLabel": {
"message": "页面路径",
"description": "The ARIA label for the breadcrumbs"
},
"theme.docs.DocCard.categoryDescription": {
"message": "{count} 个项目",
"description": "The default description for a category card in the generated index about how many items this category includes"
},
"theme.docs.paginator.navAriaLabel": {
"message": "文档分页导航",
"description": "The ARIA label for the docs pagination"
},
"theme.docs.paginator.previous": {
"message": "上一页",
"description": "The label used to navigate to the previous doc"
},
"theme.docs.paginator.next": {
"message": "下一页",
"description": "The label used to navigate to the next doc"
},
"theme.docs.tagDocListPageTitle.nDocsTagged": {
"message": "{count} 篇文档带有标签",
"description": "Pluralized label for \"{count} docs tagged\". Use as much plural forms (separated by \"|\") as your language support (see https://www.unicode.org/cldr/cldr-aux/charts/34/supplemental/language_plural_rules.html)"
},
"theme.docs.tagDocListPageTitle": {
"message": "{nDocsTagged}「{tagName}」",
"description": "The title of the page for a docs tag"
},
"theme.docs.versionBadge.label": {
"message": "版本:{versionLabel}"
},
"theme.docs.versions.unreleasedVersionLabel": {
"message": "此为 {siteTitle} {versionLabel} 版尚未发行的文档。",
"description": "The label used to tell the user that he's browsing an unreleased doc version"
},
"theme.docs.versions.unmaintainedVersionLabel": {
"message": "此为 {siteTitle} {versionLabel} 版的文档,现已不再积极维护。",
"description": "The label used to tell the user that he's browsing an unmaintained doc version"
},
"theme.docs.versions.latestVersionSuggestionLabel": {
"message": "最新的文档请参阅 {latestVersionLink} ({versionLabel})。",
"description": "The label used to tell the user to check the latest version"
},
"theme.docs.versions.latestVersionLinkLabel": {
"message": "最新版本",
"description": "The label used for the latest version suggestion link label"
},
"theme.common.editThisPage": {
"message": "编辑此页",
"description": "The link label to edit the current page"
},
"theme.common.headingLinkTitle": {
"message": "标题的直接链接",
"description": "Title for link to heading"
},
"theme.lastUpdated.atDate": {
"message": "于 {date} ",
"description": "The words used to describe on which date a page has been last updated"
},
"theme.lastUpdated.byUser": {
"message": "由 {user} ",
"description": "The words used to describe by who the page has been last updated"
},
"theme.lastUpdated.lastUpdatedAtBy": {
"message": "最后{byUser}{atDate}更新",
"description": "The sentence used to display when a page has been last updated, and by who"
},
"theme.navbar.mobileVersionsDropdown.label": {
"message": "选择版本",
"description": "The label for the navbar versions dropdown on mobile view"
},
"theme.common.skipToMainContent": {
"message": "跳到主要内容",
"description": "The skip to content label used for accessibility, allowing to rapidly navigate to main content with keyboard tab/enter navigation"
},
"theme.tags.tagsListLabel": {
"message": "标签:",
"description": "The label alongside a tag list"
},
"theme.blog.sidebar.navAriaLabel": {
"message": "最近博文导航",
"description": "The ARIA label for recent posts in the blog sidebar"
},
"theme.CodeBlock.copied": {
"message": "复制成功",
"description": "The copied button label on code blocks"
},
"theme.CodeBlock.copyButtonAriaLabel": {
"message": "复制代码到剪贴板",
"description": "The ARIA label for copy code blocks button"
},
"theme.CodeBlock.copy": {
"message": "复制",
"description": "The copy button label on code blocks"
},
"theme.CodeBlock.wordWrapToggle": {
"message": "切换自动换行",
"description": "The title attribute for toggle word wrapping button of code block lines"
},
"theme.DocSidebarItem.toggleCollapsedCategoryAriaLabel": {
"message": "打开/收起侧边栏菜单「{label}」",
"description": "The ARIA label to toggle the collapsible sidebar category"
},
"theme.navbar.mobileLanguageDropdown.label": {
"message": "选择语言",
"description": "The label for the mobile language switcher dropdown"
},
"theme.TOCCollapsible.toggleButtonLabel": {
"message": "本页总览",
"description": "The label used by the button on the collapsible TOC component"
},
"theme.docs.sidebar.collapseButtonTitle": {
"message": "收起侧边栏",
"description": "The title attribute for collapse button of doc sidebar"
},
"theme.docs.sidebar.collapseButtonAriaLabel": {
"message": "收起侧边栏",
"description": "The title attribute for collapse button of doc sidebar"
},
"theme.navbar.mobileSidebarSecondaryMenu.backButtonLabel": {
"message": "← 回到主菜单",
"description": "The label of the back button to return to main menu, inside the mobile navbar sidebar secondary menu (notably used to display the docs sidebar)"
},
"theme.docs.sidebar.expandButtonTitle": {
"message": "展开侧边栏",
"description": "The ARIA label and title attribute for expand button of doc sidebar"
},
"theme.docs.sidebar.expandButtonAriaLabel": {
"message": "展开侧边栏",
"description": "The ARIA label and title attribute for expand button of doc sidebar"
},
"Powerful": {
"message": "强大",
"description": "homepage powerful"
},
"The cloud services can be easily found and acquired in the application marketplace, offering simplicity and power.": {
"message": "通过应用商店来灵活满足各类用户的需求,形成强大的应用生态",
"description": "homepage flexible intro"
},
"Kernel Arch": {
"message": "以 kubernetes 为云内核架构"
},
"Cloud Driver": {
"message": "云驱动"
},
"Cloud Kernel": {
"message": "云内核"
},
"Distributed Applications": {
"message": "分布式应用程序"
},
"Used By": {
"message": "客户列表"
},
"theme.SearchBar.seeAll": {
"message": "查看全部 {count} 个结果"
},
"theme.SearchBar.label": {
"message": "搜索",
"description": "The ARIA label and placeholder for search button"
},
"theme.SearchPage.documentsFound.plurals": {
"message": "找到 {count} 份文件",
"description": "Pluralized label for \"{count} documents found\". Use as much plural forms (separated by \"|\") as your language support (see https://www.unicode.org/cldr/cldr-aux/charts/34/supplemental/language_plural_rules.html)"
},
"theme.SearchPage.existingResultsTitle": {
"message": "「{query}」的搜索结果",
"description": "The search page title for non-empty query"
},
"theme.SearchPage.emptyResultsTitle": {
"message": "在文档中搜索",
"description": "The search page title for empty query"
},
"theme.SearchPage.inputPlaceholder": {
"message": "在此输入搜索字词",
"description": "The placeholder for search page input"
},
"theme.SearchPage.inputLabel": {
"message": "搜索",
"description": "The ARIA label for search page input"
},
"theme.SearchPage.algoliaLabel": {
"message": "通过 Algolia 搜索",
"description": "The ARIA label for Algolia mention"
},
"theme.SearchPage.noResultsText": {
"message": "未找到任何结果",
"description": "The paragraph for empty search result"
},
"theme.SearchPage.fetchingNewResults": {
"message": "正在获取新的搜索结果...",
"description": "The paragraph for fetching new search results"
},
"Docs": {
"message": "Doc"
},
"Contact": {
"message": "联系我们"
},
"theme.admonition.note": {
"message": "备注",
"description": "The default label used for the Note admonition (:::note)"
},
"theme.admonition.tip": {
"message": "提示",
"description": "The default label used for the Tip admonition (:::tip)"
},
"theme.admonition.danger": {
"message": "危险",
"description": "The default label used for the Danger admonition (:::danger)"
},
"theme.admonition.info": {
"message": "信息",
"description": "The default label used for the Info admonition (:::info)"
},
"theme.admonition.caution": {
"message": "警告",
"description": "The default label used for the Caution admonition (:::caution)"
},
"theme.docs.sidebar.closeSidebarButtonAriaLabel": {
"message": "Close navigation bar",
"description": "The ARIA label for close button of mobile sidebar"
},
"theme.docs.sidebar.toggleSidebarButtonAriaLabel": {
"message": "Toggle navigation bar",
"description": "The ARIA label for hamburger menu button of mobile navigation"
},
"theme.SearchModal.searchBox.resetButtonTitle": {
"message": "清除查询",
"description": "The label and ARIA label for search box reset button"
},
"theme.SearchModal.searchBox.cancelButtonText": {
"message": "取消",
"description": "The label and ARIA label for search box cancel button"
},
"theme.SearchModal.startScreen.recentSearchesTitle": {
"message": "最近搜索",
"description": "The title for recent searches"
},
"theme.SearchModal.startScreen.noRecentSearchesText": {
"message": "没有最近搜索",
"description": "The text when no recent searches"
},
"theme.SearchModal.startScreen.saveRecentSearchButtonTitle": {
"message": "保存这个搜索",
"description": "The label for save recent search button"
},
"theme.SearchModal.startScreen.removeRecentSearchButtonTitle": {
"message": "从历史记录中删除这个搜索",
"description": "The label for remove recent search button"
},
"theme.SearchModal.startScreen.favoriteSearchesTitle": {
"message": "收藏",
"description": "The title for favorite searches"
},
"theme.SearchModal.startScreen.removeFavoriteSearchButtonTitle": {
"message": "从收藏列表中删除这个搜索",
"description": "The label for remove favorite search button"
},
"theme.SearchModal.errorScreen.titleText": {
"message": "无法获取结果",
"description": "The title for error screen of search modal"
},
"theme.SearchModal.errorScreen.helpText": {
"message": "你可能需要检查网络连接。",
"description": "The help text for error screen of search modal"
},
"theme.SearchModal.footer.selectText": {
"message": "选中",
"description": "The explanatory text of the action for the enter key"
},
"theme.SearchModal.footer.selectKeyAriaLabel": {
"message": "Enter 键",
"description": "The ARIA label for the Enter key button that makes the selection"
},
"theme.SearchModal.footer.navigateText": {
"message": "导航",
"description": "The explanatory text of the action for the Arrow up and Arrow down key"
},
"theme.SearchModal.footer.navigateUpKeyAriaLabel": {
"message": "向上键",
"description": "The ARIA label for the Arrow up key button that makes the navigation"
},
"theme.SearchModal.footer.navigateDownKeyAriaLabel": {
"message": "向下键",
"description": "The ARIA label for the Arrow down key button that makes the navigation"
},
"theme.SearchModal.footer.closeText": {
"message": "关闭",
"description": "The explanatory text of the action for Escape key"
},
"theme.SearchModal.footer.closeKeyAriaLabel": {
"message": "Esc 键",
"description": "The ARIA label for the Escape key button that close the modal"
},
"theme.SearchModal.footer.searchByText": {
"message": "搜索提供",
"description": "The text explain that the search is making by Algolia"
},
"theme.SearchModal.noResultsScreen.noResultsText": {
"message": "没有结果:",
"description": "The text explains that there are no results for the following search"
},
"theme.SearchModal.noResultsScreen.suggestedQueryText": {
"message": "试试搜索",
"description": "The text for the suggested query when no results are found for the following search"
},
"theme.SearchModal.noResultsScreen.reportMissingResultsText": {
"message": "认为这个查询应该有结果?",
"description": "The text for the question where the user thinks there are missing results"
},
"theme.SearchModal.noResultsScreen.reportMissingResultsLinkText": {
"message": "请告知我们。",
"description": "The text for the link to report missing results"
},
"theme.SearchModal.placeholder": {
"message": "搜索文档",
"description": "The placeholder of the input of the DocSearch pop-up modal"
},
"theme.tags.tagsPageTitle": {
"message": "标签",
"description": "The title of the tag list page"
},
"Features": {
"message": "特性"
},
"Copy": {
"message": "复制"
},
"START NOW": {
"message": "在线使用"
},
"CONTACT US NOW": {
"message": "联系我们"
}
}
{
"sidebar.docSidebar.intro": {
"message": "介绍"
},
"sidebar.docSidebar.category.Quick Start": {
"message": "快速开始"
},
"sidebar.docSidebar.category.Deploy": {
"message": "部署"
},
"sidebar.docSidebar.category.Datasets": {
"message": "知识库实践"
},
"sidebar.docSidebar.category.Flow AI": {
"message": "Flow 编排"
},
"sidebar.docSidebar.category.Other": {
"message": "其他"
}
}
# 利用 FastGpt 打造高质量 AI 知识库
## 前言
自从去年 12 月 chatgpt 发布后,带动了新的一轮应用交互革命。尤其是 gpt35 接口全面放开后,LLM 应用雨后春笋般快速涌现,但因为 gpt 的可控性、随机性和合规性等问题,很多应用场景都没法落地。
3 月时候,在 twitter 上刷到一个老哥使用 gpt 训练自己的博客记录,并且成本非常低(比起 FT)。他给出了一个完整的流程图:
![向量搜索 GPT 流程图](imgs/1.png)
看到这个推文后,我灵机一动,应用场景就十分清晰了。直接上手开干,在经过不到 1 个月时间,FastGpt 在原来多助手管理基础上,加入了向量搜索。于是便有了最早的一期视频:https://www.bilibili.com/video/BV1Wo4y1p7i1/?vd_source=92041a1a395f852f9d89158eaa3f61b4
3 个月过去了,FastGpt 延续着早期的思路去完善和扩展,目前在向量搜索 + LLM 线性问答方面的功能基本上完成了。不过我们始终没有出一期关于如何构建知识库的教程,趁着 V4 在开发中,我们计划介绍一期《如何在 FastGpt 上构建高质量知识库》,以便大家更好的使用。
## FastGpt 知识库完整逻辑
在正式构建知识库前,我们先来了解下 FastGpt 是如何进行知识库检索的。首先了解几个基本概念:
1. 向量:将人类直观的语言(文字、图片、视频等)转成计算机可识别的语言(数组)。
2. 向量相似度:两个向量之间可以进行计算,得到一个相似度,即代表:两个语言相似的程度。
3. 语言大模型的一些特点:上下文理解、总结和推理。
结合上述 3 个概念,便有了 “向量搜索 + 大模型 = 知识库问答” 的公式。下图是 FastGpt V3 中知识库问答功能的完整逻辑:
![向量搜索 GPT 流程图](imgs/2.png)
与大部分其他知识库问答产品不一样的是, FastGpt 采用了 QA 问答对进行存储,而不是仅进行 chunk(文本分块)处理。目的是为了减少向量化内容的长度,让向量能更好的表达文本的含义,从而提高搜索精准度。
此外 FastGpt 还提供了搜索测试和对话测试两种途径对数据进行调整,从而方便用户调整自己的数据。根据上述流程和方式,我们以构建一个 FastGpt 常见问题机器人为例,展示如何构建一个高质量的 AI 知识库。
## 构建知识库应用
首先,先创建一个 FastGpt 常见问题知识库
![创建知识库应用](imgs/3.png)
### 通过 QA 拆分,获取基础知识
我们先直接把 FastGpt Git 上一些已有文档,进行 QA 拆分,从而获取一些 FastGpt 基础的知识。下面是 README 例子。
![QA 拆分示意图](imgs/4.png)
![](imgs/5.png)
### 修正 QA
通过 README 我们一共得到了 11 组数据,整体的质量还是不错的,图片和链接都提取出来了。不过最后一个知识点出现了一些截断,我们需要手动的修正一下。
此外,我们观察到第一列第三个知识点。这个知识点是介绍了 FastGpt 一些资源链接,但是 QA 拆分将答案放置在了 A 中,但通常来说用户的提问并不会直接问“有哪些链接”,通常会问:“部署教程”,“问题文档”之类的。因此,我们需要将这个知识点进行简单的一个处理,如下图:
![手动修改知识库数据](imgs/6.png)
我们先来创建一个应用,看看效果如何。 首先需要去创建一个应用,并且在知识库中关联相关的知识库。另外还需要在配置页的提示词中,告诉 GPT:“知识库的范围”。
![](imgs/7.png)
![README QA 拆分后效果](imgs/8.png)
整体的效果还是不错的,链接和对应的图片都可以顺利的展示。
### 录入社区常见问题
接着,我们再把 FastGPT 常见问题的文档导入,由于平时整理不当,我们只能手动的录入对应的问答。
![手动录入知识库结果](imgs/9.png)
导入结果如上图。可以看到,我们均采用的是问答对的格式,而不是粗略的直接导入。目的就是为了模拟用户问题,进一步的提高向量搜索的匹配效果。可以为同一个问题设置多种问法,效果更佳。
FastGpt 还提供了 openapi 功能,你可以在本地对特殊格式的文件进行处理后,再上传到 FastGpt,具体可以参考:[FastGpt Api Docs](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh)
## 知识库微调和参数调整
FastGpt 提供了搜索测试和对话测试两种途径对知识库进行微调,我们先来使用搜索测试对知识库进行调整。我们建议你提前收集一些用户问题进行测试,根据预期效果进行跳转。可以先进行搜索测试调整,判断知识点是否合理。
### 搜索测试
![搜索测试作用](imgs/10.png)
你可能会遇到下面这种情况,由于“知识库”这个关键词导致一些无关内容的相似度也被搜索进去,此时就需要给第四条记录也增加一个“知识库”关键词,从而去提高它的相似度。
![搜索测试结果](imgs/11.png)
![优化后的搜索测试结果](imgs/12.png)
### 提示词设置
提示词的作用是引导模型对话的方向。在设置提示词时,遵守 2 个原则:
1. 告诉 Gpt 回答什么方面内容。
2. 给知识库一个基本描述,从而让 Gpt 更好的判断用户的问题是否属于知识库范围。
![提示词设置](imgs/13.png)
### 更好的限定模型聊天范围
首先,你可以通过调整知识库搜索时的相似度和最大搜索数量,实现从知识库层面限制聊天范围。通常我们可以设置相似度为 0.82,并设置空搜索回复内容。这意味着,如果用户的问题无法在知识库中匹配时,会直接回复预设的内容。
![搜索参数设置](imgs/14.png)
![空搜索控制效果](imgs/15.png)
由于 openai 向量模型并不是针对中文,所以当问题中有一些知识库内容的关键词时,相似度
会较高,此时无法从知识库层面进行限定。需要通过限定词进行调整,例如:
> 我的问题如果不是关于 FastGpt 的,请直接回复:“我不确定”。你仅需要回答知识库中的内容,不在其中的内容,不需要回答。
效果如下:
![限定词效果](imgs/16.png)
当然,gpt35 在一定情况下依然是不可控的。
### 通过对话调整知识库
与搜索测试类似,你可以直接在对话页里,点击“引用”,来随时修改知识库内容。
![查看答案引用](imgs/17.png)
## 总结
1. 向量搜索是一种可以比较文本相似度的技术。
2. 大模型具有总结和推理能力,可以从给定的文本中回答问题。
3. 最有效的知识库构建方式是 QA 和手动构建。
4. Q 的长度不宜过长。
5. 需要调整提示词,来引导模型回答知识库内容。
6. 可以通过调整搜索相似度、最大搜索数量和限定词来控制模型回复的范围。
# docker-compose 快速部署
## 代理环境(国外服务器可忽略)
选择一个即可。这只是代理!!!不是项目。
1. [sealos nginx 方案](./proxy/sealos.md) - 推荐。约等于不用钱,不需要额外准备任何东西。
2. [clash 方案](./proxy/clash.md) - 仅需一台服务器(需要有 clash)
3. [nginx 方案](./proxy/nginx.md) - 需要一台国外服务器
4. [cloudflare 方案](./proxy/cloudflare.md) - 需要有域名(每日免费 10w 次代理请求)
5. [腾讯云函数代理方案](https://github.com/easychen/openai-api-proxy/blob/master/FUNC.md) - 仅需一台服务器
## openai key 池管理方案
推荐使用 [one-api](https://github.com/songquanpeng/one-api) 项目来管理 key 池,兼容 openai 和微软等多渠道。部署可以看该项目的 README.md,也可以看 [在 Sealos 1 分钟部署 one-api](./oneapi/index.md)
### 1. 准备一些内容
> 1. 服务器开通 80 端口。用代理的话,对应的代理端口也需要打开。
> 2. QQ 邮箱 Code:进入 QQ 邮箱 -> 账号 -> 申请 SMTP 账号
> 3. 有域名的准备好 SSL 证书
### 2. 安装 docker 和 docker-compose
这个不同系统略有区别,百度安装下。验证安装成功后进行下一步。下面给出一个例子:
```bash
# 安装docker
curl -L https://get.daocloud.io/docker | sh
sudo systemctl start docker
# 安装 docker-compose
curl -L https://github.com/docker/compose/releases/download/1.23.2/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose
# 验证安装
docker -v
docker-compose -v
# 如果docker-compose运行不了,可以把 deploy/fastgpt/docker-compose 文件复制到服务器,然后在 docker-compose 文件夹里执行 sh init.sh。会把docker-compose文件复制到对应目录。
```
### 2. 创建 3 个初始化文件
将 [fastgpt](https://github.com/labring/FastGPT/blob/main/files/deploy/fastgpt) 文件夹中三个文件复制到服务器:分别为:fastgpt/docker-compose.yaml, fastgpt/pg/init.sql, fastgpt/nginx/nginx.conf
可以手动创建或者直接把整个 fastgpt 文件夹复制过去。
### 3. 运行 docker-compose
下面是一个辅助脚本,也可以直接 docker-compose up -d
**run.sh 运行文件**
```bash
#!/bin/bash
docker-compose pull
docker-compose up -d
echo "Docker Compose 重新拉取镜像完成!"
# 删除本地旧镜像
images=$(docker images --format "{{.ID}} {{.Repository}}" | grep fastgpt)
# 将镜像 ID 和名称放入数组中
IFS=$'\n' read -rd '' -a image_array <<<"$images"
# 遍历数组并删除所有旧的镜像
for ((i=1; i<${#image_array[@]}; i++))
do
image=${image_array[$i]}
image_id=${image%% *}
docker rmi $image_id
done
```
## FastGpt Admin
参考 admin 里的 README.md
## 其他优化点
# Git Action 自动打包镜像
.github 里拥有一个 git 提交到 main 分支时自动打包 amd64 和 arm64 镜像的 actions。你仅需要提前在 git 配置好 session。
1. 创建账号 session: 头像 -> settings -> 最底部 Developer settings -> Personal access tokens -> tokens(classic) -> 创建新 session,把一些看起来需要的权限勾上。
2. 添加 session 到仓库: 仓库 -> settings -> Secrets and variables -> Actions -> 创建 secret
3. 填写 secret: Name-GH_PAT, Secret-第一步的 tokens
## 其他问题
### Mac 可能的问题
> 因为教程有部分镜像不兼容 arm64,所以写个文档指导新手如何快速在 mac 上面搭建 fast-gpt[在 mac 上面部署 fastgpt 可能存在的问题](./mac.md)
# Mac 上部署可能遇到的问题
### 前置条件
1、可以 curl api.openai.com
2、有 openai key
3、有邮箱 MAILE_CODE
4、有 docker
```
docker -v
```
5、有 pnpm ,可以使用`brew install pnpm`安装
6、需要创建一个放置 pg 和 mongo 数据的文件夹,这里创建在`~/fastgpt`目录中,里面有`pg` 和`mongo `两个文件夹
```
➜ fastgpt pwd
/Users/jie/fastgpt
➜ fastgpt ls
mongo pg
```
### docker 部署方式
这种方式主要是为了方便调试,可以使用`pnpm dev ` 运行 fastgpt 项目
**1、.env.local 文件**
```
# proxy
AXIOS_PROXY_HOST=127.0.0.1
AXIOS_PROXY_PORT_FAST=7890
AXIOS_PROXY_PORT_NORMAL=7890
# email
MY_MAIL= {Your Mail}
MAILE_CODE={Yoir Mail code}
# ali ems
aliAccessKeyId=xxx
aliAccessKeySecret=xxx
aliSignName=xxx
aliTemplateCode=SMS_xxx
# token
TOKEN_KEY=sswada
# 使用 oneapi
ONEAPI_URL=[https://api.xyz.com/v1](https://xxxxx.cloud.sealos.io/v1)
ONEAPI_KEY=sk-xxxxxx
# openai
OPENAIKEY=sk-xxx # 对话用的key
OPENAI_TRAINING_KEY=sk-xxx # 训练用的key
# db
MONGODB_URI=mongodb://username:password@0.0.0.0:27017/test?authSource=admin
PG_HOST=0.0.0.0
PG_PORT=8100
PG_USER=xxx
PG_PASSWORD=xxx
PG_DB_NAME=fastgpt
```
**2、部署 mongo**
```
docker run --name mongo -p 27017:27017 -e MONGO_INITDB_ROOT_USERNAME=username -e MONGO_INITDB_ROOT_PASSWORD=password -v ~/fastgpt/mongo/data:/data/db -d mongo:4.0.1
```
**3、部署 pgsql**
```
docker run -it --name pg -e "POSTGRES_DB=fastgpt" -e "POSTGRES_PASSWORD=xxx" -e POSTGRES_USER=xxx -p 8100:5432 -v ~/fastgpt/pg/data:/var/lib/postgresql/data -d octoberlan/pgvector:v0.4.1
```
进 pgsql 容器运行
```
psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<-EOSQL
CREATE EXTENSION IF NOT EXISTS vector;
-- init table
CREATE TABLE IF NOT EXISTS modeldata (
id BIGSERIAL PRIMARY KEY,
vector VECTOR(1536) NOT NULL,
user_id VARCHAR(50) NOT NULL,
kb_id VARCHAR(50) NOT NULL,
source VARCHAR(100),
q TEXT NOT NULL,
a TEXT NOT NULL
);
-- 索引设置,按需取
-- CREATE INDEX IF NOT EXISTS modeldata_userId_index ON modeldata USING HASH (user_id);
-- CREATE INDEX IF NOT EXISTS modeldata_kbId_index ON modeldata USING HASH (kb_id);
-- CREATE INDEX IF NOT EXISTS idx_model_data_md5_q_a_user_id_kb_id ON modeldata (md5(q), md5(a), user_id, kb_id);
-- CREATE INDEX modeldata_id_desc_idx ON modeldata (id DESC);
-- vector 索引,可以参考 [pg vector](https://github.com/pgvector/pgvector) 去配置,根据数据量去配置
EOSQL
```
4、**最后在 FASTGPT 项目里面运行 pnpm dev 运行项目,然后进入 localhost:3000 看项目是否跑起来了**
# 在 Sealos 1 分钟部署 one-api
## 1. 进入 Sealos 公有云
https://cloud.sealos.io/
## 2. 打开 AppLaunchpad(应用管理) 工具
![step1](./imgs/step1.png)
## 3. 点击创建新应用
## 4. 填写对应参数
镜像:ghcr.io/songquanpeng/one-api:latest
![step2](./imgs/step2.png)
打开外网访问开关后,Sealos 会自动分配一个可访问的地址,不需要自己配置。
![step3](./imgs/step3.png)
填写完参数后,点击右上角部署即可。
## 5. 访问
点击 Sealos 提供的外网访问地址,即可访问 one-api 项目。
![step3](./imgs/step4.png)
![step3](./imgs/step5.png)
## 6. 替换 FastGpt 的环境变量
```
# 下面的地址是 Sealos 提供的,务必写上 v1
ONEAPI_URL=https://xxxx.cloud.sealos.io/v1
# 下面的 key 由 one-api 提供
ONEAPI_KEY=sk-xxxxxx
```
# 安装 clash
clash 会在本机启动代理。对应的,你需要配置项目的两个环境变量:
```
AXIOS_PROXY_HOST=127.0.0.1
AXIOS_PROXY_PORT=7890
```
需要注的是,在你的 config.yaml 文件中,最好仅指定 api.openai.com 走代理,其他请求都直连。
**安装clash**
```bash
# 下载包
curl https://glados.rocks/tools/clash-linux.zip -o clash.zip
# 解压
unzip clash.zip
# 下载终端配置⽂件(改成自己配置文件路径)
curl https://update.glados-config.com/clash/98980/8f30944/70870/glados-terminal.yaml > config.yaml
# 赋予运行权限
chmod +x ./clash-linux-amd64-v1.10.0
```
**runClash.sh**
```sh
# 记得配置端口变量:
export ALL_PROXY=socks5://127.0.0.1:7891
export http_proxy=http://127.0.0.1:7890
export https_proxy=http://127.0.0.1:7890
export HTTP_PROXY=http://127.0.0.1:7890
export HTTPS_PROXY=http://127.0.0.1:7890
# 运行脚本: 删除clash - 到 clash 目录 - 删除缓存 - 执行运行. 会生成一个 nohup.out 文件,可以看到 clash 的 logs
OLD_PROCESS=$(pgrep clash)
if [ ! -z "$OLD_PROCESS" ]; then
echo "Killing old process: $OLD_PROCESS"
kill $OLD_PROCESS
fi
sleep 2
cd **/clash
rm -f ./nohup.out || true
rm -f ./cache.db || true
nohup ./clash-linux-amd64-v1.10.0 -d ./ &
echo "Restart clash"
```
**config.yaml配置例子**
```yaml
mixed-port: 7890
allow-lan: false
bind-address: '*'
mode: rule
log-level: warning
dns:
enable: true
ipv6: false
nameserver:
- 8.8.8.8
- 8.8.4.4
cache-size: 400
proxies:
-
proxy-groups:
- { name: '♻️ 自动选择', type: url-test, proxies: [香港V01×1.5], url: 'https://api.openai.com', interval: 3600}
rules:
- 'DOMAIN-SUFFIX,api.openai.com,♻️ 自动选择'
- 'MATCH,DIRECT'
```
\ No newline at end of file
# cloudflare 代理配置
[来自 "不做了睡觉" 教程](https://gravel-twister-d32.notion.site/FastGPT-API-ba7bb261d5fd4fd9bbb2f0607dacdc9e)
**workers 配置文件**
```js
const TELEGRAPH_URL = 'https://api.openai.com';
addEventListener('fetch', (event) => {
event.respondWith(handleRequest(event.request));
});
async function handleRequest(request) {
// 安全校验
if (request.headers.get('auth') !== 'auth_code') {
return new Response('UnAuthorization', { status: 403 });
}
const url = new URL(request.url);
url.host = TELEGRAPH_URL.replace(/^https?:\/\//, '');
const modifiedRequest = new Request(url.toString(), {
headers: request.headers,
method: request.method,
body: request.body,
redirect: 'follow'
});
const response = await fetch(modifiedRequest);
const modifiedResponse = new Response(response.body, response);
// 添加允许跨域访问的响应头
modifiedResponse.headers.set('Access-Control-Allow-Origin', '*');
return modifiedResponse;
}
```
**对应的环境变量**
务必别忘了填 v1
```
OPENAI_BASE_URL=https://xxxxxx/v1
OPENAI_BASE_URL_AUTH=auth_code
```
# nginx 反向代理 openai 接口
如果你有国外的服务器,可以通过配置 nginx 反向代理,转发 openai 相关的请求,从而让国内的服务器可以通过访问该 nginx 去访问 openai 接口。
```conf
user nginx;
worker_processes auto;
worker_rlimit_nofile 51200;
events {
worker_connections 1024;
}
http {
resolver 8.8.8.8;
proxy_ssl_server_name on;
access_log off;
server_names_hash_bucket_size 512;
client_header_buffer_size 32k;
large_client_header_buffers 4 32k;
client_max_body_size 50M;
gzip on;
gzip_min_length 1k;
gzip_buffers 4 8k;
gzip_http_version 1.1;
gzip_comp_level 6;
gzip_vary on;
gzip_types text/plain application/x-javascript text/css application/javascript application/json application/xml;
gzip_disable "MSIE [1-6]\.";
open_file_cache max=1000 inactive=1d;
open_file_cache_valid 30s;
open_file_cache_min_uses 8;
open_file_cache_errors off;
server {
listen 443 ssl;
server_name your_host;
ssl_certificate /ssl/your_host.pem;
ssl_certificate_key /ssl/your_host.key;
ssl_session_timeout 5m;
location ~ /openai/(.*) {
# auth check
if ($auth != "xxxxxx") {
return 403;
}
proxy_pass https://api.openai.com/$1$is_args$args;
proxy_set_header Host api.openai.com;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
# 流式响应
proxy_set_header Connection '';
proxy_http_version 1.1;
chunked_transfer_encoding off;
proxy_buffering off;
proxy_cache off;
# 一般响应
proxy_buffer_size 128k;
proxy_buffers 4 256k;
proxy_busy_buffers_size 256k;
}
}
server {
listen 80;
server_name ai.fastgpt.run;
rewrite ^(.*) https://$server_name$1 permanent;
}
}
```
# sealos 部署 openai 中转
## 登录 sealos cloud
[sealos cloud](https://cloud.sealos.io/)
## 创建应用
打开 App Launchpad -> 新建应用
![step1](./imgs//sealos1.png)
![step2](./imgs//sealos2.png)
### 开启外网访问
![step3](./imgs//sealos3.png)
### 添加 configmap 文件
1. 复制下面这段代码,注意 `server_name` 后面的内容替换成上图的地址。
```
user nginx;
worker_processes auto;
worker_rlimit_nofile 51200;
events {
worker_connections 1024;
}
http {
resolver 8.8.8.8;
proxy_ssl_server_name on;
access_log off;
server_names_hash_bucket_size 512;
client_header_buffer_size 64k;
large_client_header_buffers 4 64k;
client_max_body_size 50M;
proxy_connect_timeout 240s;
proxy_read_timeout 240s;
proxy_buffer_size 128k;
proxy_buffers 4 256k;
server {
listen 80;
server_name tgohwtdlrmer.cloud.sealos.io; # 这个地方替换成 sealos 提供的内容
location ~ /openai/(.*) {
# auth check
if ($http_auth != "auth") { # 安全凭证
return 403;
}
proxy_pass https://api.openai.com/$1$is_args$args;
proxy_set_header Host api.openai.com;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
# 如果响应是流式的
proxy_set_header Connection '';
proxy_http_version 1.1;
chunked_transfer_encoding off;
proxy_buffering off;
proxy_cache off;
# 如果响应是一般的
proxy_buffer_size 128k;
proxy_buffers 4 256k;
proxy_busy_buffers_size 256k;
}
}
}
```
2. 点开高级配置
3. 点击新增 configmap
4. 文件名写: `/etc/nginx/nginx.conf`
5. 文件值为刚刚复制的那段代码
6. 点击确认
![step4](./imgs//sealos4.png)
### 部署应用
填写完毕后,点击右上角的 `部署应用`,即可完成。
## 修改 FastGpt 环境变量
1. 进入刚刚部署应用的详情,复制外网地址
![step5](./imgs//sealos5.png)
2. 修改环境变量(是 FastGpt 的环境变量,不是 sealos 的):
```
OPENAI_BASE_URL=https://tgohwtdlrmer.cloud.sealos.io/openai/v1
OPENAI_BASE_URL_AUTH=auth
```
**Done!**
# 模块编排介绍
FastGpt V4 后将采用新的交互方式来构建 AI 应用。使用了“节点”编排的方式去掉原先的表单方式。提高可玩性和扩展性的同时也提高了上手的门槛,这篇文章就来简单介绍一下 “预览版” 的模块编排基本使用方法。
![模块](./imgs/intro1.png)
预览版仅包含了 8 个模块,你可以利用它们来完全实现 V3 的知识库功能。此外,预览版还加入了问题分类模块,可以实现多路线任务。
## 基础知识
### 什么是模块
在程序中,模块可以理解为一个个 function 或者接口。对于非技术背景同学,可以理解为它就是一个**步骤**。将多个模块一个个拼接起来,即可一步步的去实现最终的 AI 输出。
### 如何阅读和理解
1. 建议从左往右阅读。
2. 从 **用户问题** 模块开始。用户问题模块,代表的是用户发送了一段文本,触发任务开始。
3.
---
sidebar_position: 1
---
# FastGpt 是什么?
FastGPT 是一个基于向量 + LLM 模型的 AI 问答系统。可以帮助你快捷、高效的将内部文档进行训练。提供了丰富的调试工具便于调整数据,并可以通过 Iframe 或 API 的形式接入到你现有的应用中。
| | |
| -------------------------- | -------------------------- |
| ![Demo](./imgs/intro1.png) | ![Demo](./imgs/intro2.png) |
| ![Demo](./imgs/intro3.png) | ![Demo](./imgs/intro4.png) |
#### 知识库原理图
![KBProcess](./imgs/KBProcess.jpg?raw=true 'KBProcess')
## 🏘️ 交流群
添加 wx 进入:
![Demo](https://otnvvf-imgs.oss.laf.run/wx300.jpg)
## Powered by
- [TuShan: 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
- [Laf: 3 分钟快速接入三方应用](https://github.com/labring/laf)
- [Sealos: 快速部署集群应用](https://github.com/labring/sealos)
- [One API: 令牌管理 & 二次分发,支持 Azure](https://github.com/songquanpeng/one-api)
## 👀 其他
- [FastGpt 常见问题](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
- [docker 部署教程视频](https://www.bilibili.com/video/BV1jo4y147fT/)
- [公众号接入视频教程](https://www.bilibili.com/video/BV1xh4y1t7fy/)
- [FastGpt 知识库演示](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
## 第三方生态
- [luolinAI: 企微机器人,开箱即用](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
## 🌟 Star History
[![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)
# 3分钟在Fastgpt上用上GLM
## 前言
Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接口,目前集成了 Gpt35, Gpt4 和 embedding. 可构建自己的知识库。但考虑到数据安全的问题,我们并不能将所有的数据都交付给云端大模型。那如何在fastgpt上接入私有化模型呢,本文就以清华的ChatGLM2为例,为各位讲解如何在fastgpt中接入私有化模型。
## ChatGLM2简介
ChatGLM2-6B 是开源中英双语对话模型 ChatGLM-6B 的第二代版本,具体介绍请看项目:https://github.com/THUDM/ChatGLM2-6B
注意,ChatGLM2-6B 权重对学术研究完全开放,在获得官方的书面许可后,亦允许商业使用。本教程只是介绍了一种用法,并不会给予任何授权。
## 推荐配置
依据官方数据,同样是生成 8192 长度,量化等级为FP16要占用12.8GB 显存、INT8为8.1GB显存、INT4为5.1GB显存,量化后会稍微影响性能,但不多。
因此推荐配置如下:
fp16:内存>=16GB,显存>=16GB,硬盘空间>=25GB,启动时使用命令python openai_api.py 16
int8:内存>=16GB,显存>=9GB,硬盘空间>=25GB,启动时选择python openai_api.py 8
int4:内存>=16GB,显存>=6GB,硬盘空间>=25GB,启动时选择python openai_api.py 4
## 环境配置
Python 3.8.10
CUDA 11.8
科学上网环境
## 简单的步骤
1. 根据上面的环境配置配置好环境,具体教程自行GPT;
1. 在命令行输入pip install -r requirments.txt
2. 打开你需要启动的py文件,在代码的第76行配置token,这里的token只是加一层验证,防止接口被人盗用
2. python openai_api.py 16//这里的数字根据上面的配置进行选择
然后等待模型下载,直到模型加载完毕,出现报错先问GPT
上面两个文件在本文档的同目录
启动成功后应该会显示如下地址:
![Alt text](image.png)
这里的http://0.0.0.0:6006就是连接地址
然后现在回到.env.local文件,依照以下方式配置地址:
OPENAI_BASE_URL=http://127.0.0.1:6006/v1
OPENAIKEY=sk-aaabbbcccdddeeefffggghhhiiijjjkkk //这里是你在代码中配置的token
这里的OPENAIKEY可以任意填写
这样就成功接入ChatGLM2了
# 通过 OpenAPI 接入第三方应用
## 1. 获取 API 秘钥
注意复制,关掉了需要新建~
![imgs](./img1.png)
## 2. 组合秘钥
利用刚复制的 API 秘钥加上 AppId 组合成一个新的秘钥,格式为: API 秘钥-AppId,例如:`fastgpt-z51pkjqm9nrk03a1rx2funoy-642adec15f04d67d4613efdb`
## 3. 替换三方应用的变量
OPENAI_API_BASE_URL: https://fastgpt.run/api/openapi (改成自己部署的域名)
OPENAI_API_KEY = 组合秘钥
**[chatgpt next](https://github.com/Yidadaa/ChatGPT-Next-Web) 示例**
![imgs](./chatgptnext.png)
**[chatgpt web](https://github.com/Chanzhaoyu/chatgpt-web) 示例**
![imgs](./chatgptweb.png)
# 本地开发
第一次开发,请先[部署教程](../deploy/docker.md),需要部署数据库.
client: FastGpt 网页项目
admin: 管理端
## 环境变量配置 (可能更新不及时,以 docker-compose 里的变量为准)
复制.env.template 文件,生成一个.env.local 环境变量文件夹,修改.env.local 里内容。
## 运行
```
pnpm dev
```
## 镜像打包
```bash
# 代理可选,不需要的去掉
docker build -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest . --network host --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890
```
{
"item.label.Docs": {
"message": "教程文档"
},
"item.label.Start Now": {
"message": "在线使用"
}
}
{
"name": "fastgpt-doc-site",
"version": "0.0.0",
"private": true,
"scripts": {
"docusaurus": "docusaurus",
"start": "docusaurus start",
"build": "docusaurus build",
"swizzle": "docusaurus swizzle",
"deploy": "docusaurus deploy",
"clear": "docusaurus clear",
"serve": "docusaurus serve",
"write-translations": "docusaurus write-translations",
"write-heading-ids": "docusaurus write-heading-ids",
"typecheck": "tsc"
},
"dependencies": {
"@docusaurus/core": "2.4.1",
"@docusaurus/preset-classic": "2.4.1",
"@mdx-js/react": "^1.6.22",
"clsx": "^1.2.1",
"prism-react-renderer": "^1.3.5",
"react": "^17.0.2",
"react-dom": "^17.0.2"
},
"devDependencies": {
"@docusaurus/module-type-aliases": "2.4.1",
"@tsconfig/docusaurus": "^1.0.5",
"typescript": "^4.7.4"
},
"browserslist": {
"production": [
">0.5%",
"not dead",
"not op_mini all"
],
"development": [
"last 1 chrome version",
"last 1 firefox version",
"last 1 safari version"
]
},
"engines": {
"node": ">=16.14"
}
}
This source diff could not be displayed because it is too large. You can view the blob instead.
// @ts-check
/** @type {import('@docusaurus/plugin-content-docs').SidebarsConfig} */
const sidebars = {
docSidebar: [
'intro',
{
type: 'category',
label: 'Quick Start',
link: {
type: 'generated-index'
},
collapsed: false,
items: [{ type: 'autogenerated', dirName: 'quick-start' }]
},
{
type: 'category',
label: 'Deploy',
link: {
type: 'generated-index'
},
collapsed: false,
items: [{ type: 'autogenerated', dirName: 'deploy' }]
},
{
type: 'category',
label: 'Datasets',
link: {
type: 'generated-index'
},
collapsed: false,
items: [{ type: 'autogenerated', dirName: 'datasets' }]
},
{
type: 'category',
label: 'Flow Settings',
link: {
type: 'generated-index'
},
items: [{ type: 'autogenerated', dirName: 'flow-settings' }]
},
{
type: 'category',
label: 'Other',
link: {
type: 'generated-index'
},
items: [{ type: 'autogenerated', dirName: 'other' }]
}
]
};
module.exports = sidebars;
import React from 'react';
import clsx from 'clsx';
import styles from './styles.module.css';
type FeatureItem = {
title: string;
Svg: React.ComponentType<React.ComponentProps<'svg'>>;
description: JSX.Element;
};
const FeatureList: FeatureItem[] = [
{
title: 'Easy to Use',
Svg: require('@site/static/img/undraw_docusaurus_mountain.svg').default,
description: (
<>
Docusaurus was designed from the ground up to be easily installed and used to get your
website up and running quickly.
</>
)
},
{
title: 'Focus on What Matters',
Svg: require('@site/static/img/undraw_docusaurus_tree.svg').default,
description: (
<>
Docusaurus lets you focus on your docs, and we&apos;ll do the chores. Go ahead and move your
docs into the <code>docs</code> directory.
</>
)
},
{
title: 'Powered by React',
Svg: require('@site/static/img/undraw_docusaurus_react.svg').default,
description: (
<>
Extend or customize your website layout by reusing React. Docusaurus can be extended while
reusing the same header and footer.
</>
)
}
];
function Feature({ title, Svg, description }: FeatureItem) {
return (
<div className={clsx('col col--4')}>
<div className="text--center">
<Svg className={styles.featureSvg} role="img" />
</div>
<div className="text--center padding-horiz--md">
<h3>{title}</h3>
<p>{description}</p>
</div>
</div>
);
}
export default function HomepageFeatures(): JSX.Element {
return (
<section className={styles.features}>
<div className="container">
<div className="row">
{FeatureList.map((props, idx) => (
<Feature key={idx} {...props} />
))}
</div>
</div>
</section>
);
}
.features {
display: flex;
align-items: center;
padding: 2rem 0;
width: 100%;
}
.featureSvg {
height: 200px;
width: 200px;
}
/**
* Any CSS included here will be global. The classic template
* bundles Infima by default. Infima is a CSS framework designed to
* work well for content-centric websites.
*/
/* You can override the default Infima variables here. */
:root {
--ifm-color-primary: #2e8555;
--ifm-color-primary-dark: #29784c;
--ifm-color-primary-darker: #277148;
--ifm-color-primary-darkest: #205d3b;
--ifm-color-primary-light: #33925d;
--ifm-color-primary-lighter: #359962;
--ifm-color-primary-lightest: #3cad6e;
--ifm-code-font-size: 95%;
--docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1);
}
/* For readability concerns, you should choose a lighter palette in dark mode. */
[data-theme='dark'] {
--ifm-color-primary: #25c2a0;
--ifm-color-primary-dark: #21af90;
--ifm-color-primary-darker: #1fa588;
--ifm-color-primary-darkest: #1a8870;
--ifm-color-primary-light: #29d5b0;
--ifm-color-primary-lighter: #32d8b4;
--ifm-color-primary-lightest: #4fddbf;
--docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3);
}
/**
* CSS files with the .module.css suffix will be treated as CSS modules
* and scoped locally.
*/
.heroBanner {
padding: 4rem 0;
text-align: center;
position: relative;
overflow: hidden;
}
@media screen and (max-width: 996px) {
.heroBanner {
padding: 2rem;
}
}
.buttons {
display: flex;
align-items: center;
justify-content: center;
}
import React, { useEffect } from 'react';
export default function Home(): JSX.Element {
useEffect(() => {
location.replace('https://fastgpt.run');
}, []);
return <></>;
}
---
title: Markdown page example
---
# Markdown page example
You don't need React to write simple standalone pages.
<svg xmlns="http://www.w3.org/2000/svg" width="1088" height="687.962" viewBox="0 0 1088 687.962">
<title>Easy to Use</title>
<g id="Group_12" data-name="Group 12" transform="translate(-57 -56)">
<g id="Group_11" data-name="Group 11" transform="translate(57 56)">
<path id="Path_83" data-name="Path 83" d="M1017.81,560.461c-5.27,45.15-16.22,81.4-31.25,110.31-20,38.52-54.21,54.04-84.77,70.28a193.275,193.275,0,0,1-27.46,11.94c-55.61,19.3-117.85,14.18-166.74,3.99a657.282,657.282,0,0,0-104.09-13.16q-14.97-.675-29.97-.67c-15.42.02-293.07,5.29-360.67-131.57-16.69-33.76-28.13-75-32.24-125.27-11.63-142.12,52.29-235.46,134.74-296.47,155.97-115.41,369.76-110.57,523.43,7.88C941.15,276.621,1036.99,396.031,1017.81,560.461Z" transform="translate(-56 -106.019)" fill="#3f3d56"/>
<path id="Path_84" data-name="Path 84" d="M986.56,670.771c-20,38.52-47.21,64.04-77.77,80.28a193.272,193.272,0,0,1-27.46,11.94c-55.61,19.3-117.85,14.18-166.74,3.99a657.3,657.3,0,0,0-104.09-13.16q-14.97-.675-29.97-.67-23.13.03-46.25,1.72c-100.17,7.36-253.82-6.43-321.42-143.29L382,283.981,444.95,445.6l20.09,51.59,55.37-75.98L549,381.981l130.2,149.27,36.8-81.27L970.78,657.9l14.21,11.59Z" transform="translate(-56 -106.019)" fill="#f2f2f2"/>
<path id="Path_85" data-name="Path 85" d="M302,282.962l26-57,36,83-31-60Z" opacity="0.1"/>
<path id="Path_86" data-name="Path 86" d="M610.5,753.821q-14.97-.675-29.97-.67L465.04,497.191Z" transform="translate(-56 -106.019)" opacity="0.1"/>
<path id="Path_87" data-name="Path 87" d="M464.411,315.191,493,292.962l130,150-132-128Z" opacity="0.1"/>
<path id="Path_88" data-name="Path 88" d="M908.79,751.051a193.265,193.265,0,0,1-27.46,11.94L679.2,531.251Z" transform="translate(-56 -106.019)" opacity="0.1"/>
<circle id="Ellipse_11" data-name="Ellipse 11" cx="3" cy="3" r="3" transform="translate(479 98.962)" fill="#f2f2f2"/>
<circle id="Ellipse_12" data-name="Ellipse 12" cx="3" cy="3" r="3" transform="translate(396 201.962)" fill="#f2f2f2"/>
<circle id="Ellipse_13" data-name="Ellipse 13" cx="2" cy="2" r="2" transform="translate(600 220.962)" fill="#f2f2f2"/>
<circle id="Ellipse_14" data-name="Ellipse 14" cx="2" cy="2" r="2" transform="translate(180 265.962)" fill="#f2f2f2"/>
<circle id="Ellipse_15" data-name="Ellipse 15" cx="2" cy="2" r="2" transform="translate(612 96.962)" fill="#f2f2f2"/>
<circle id="Ellipse_16" data-name="Ellipse 16" cx="2" cy="2" r="2" transform="translate(736 192.962)" fill="#f2f2f2"/>
<circle id="Ellipse_17" data-name="Ellipse 17" cx="2" cy="2" r="2" transform="translate(858 344.962)" fill="#f2f2f2"/>
<path id="Path_89" data-name="Path 89" d="M306,121.222h-2.76v-2.76h-1.48v2.76H299V122.7h2.76v2.759h1.48V122.7H306Z" fill="#f2f2f2"/>
<path id="Path_90" data-name="Path 90" d="M848,424.222h-2.76v-2.76h-1.48v2.76H841V425.7h2.76v2.759h1.48V425.7H848Z" fill="#f2f2f2"/>
<path id="Path_91" data-name="Path 91" d="M1144,719.981c0,16.569-243.557,74-544,74s-544-57.431-544-74,243.557,14,544,14S1144,703.413,1144,719.981Z" transform="translate(-56 -106.019)" fill="#3f3d56"/>
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{
// This file is not used in compilation. It is here just for a nice editor experience.
"extends": "@tsconfig/docusaurus/tsconfig.json",
"compilerOptions": {
"baseUrl": "."
}
}
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