README_en.md · zp_soft/FastGPT_1

# FastGPT

<p align="center">
  <a href="./README_en.md">English</a> |
  <a href="./README.md">简体中文</a> |
  <a href="./README_ja.md">日语</a>
</p>

FastGPT is a knowledge-based Q&A system built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization!

</div>

https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4

## 🛸 Use Cloud Services

[fastgpt.run](https://fastgpt.run/)
| | |
| ---------------------------------- | ---------------------------------- |
| ![Demo](./.github/imgs/intro1.png) | ![Demo](./.github/imgs/intro2.png) |
| ![Demo](./.github/imgs/intro3.png) | ![Demo](./.github/imgs/intro4.png) |

## 💡 Features

1. Powerful visual workflows: Effortlessly craft AI applications

- [x] Simple mode on deck - no need for manual arrangement
   - [x] User dialogue pre-guidance
   - [x] Global variables
   - [x] Knowledge base search
   - [x] Dialogue via multiple LLM models
   - [x] Text magic - convert to structured data
   - [x] Extend with HTTP
   - [ ] Embed Laf for on-the-fly HTTP module crafting
   - [x] Directions for the next dialogue steps
   - [x] Tracking source file references
   - [ ] Custom file reader
   - [ ] Modules are packaged into plug-ins to achieve reuse

2. Extensive knowledge base preprocessing

- [x] Reuse and mix multiple knowledge bases
   - [x] Track chunk modifications and deletions
   - [x] Supports manual entries, direct segmentation, and QA split imports
   - [x] Supports URL fetching and batch CSV imports
   - [x] Supports Set unique vector models for knowledge bases
   - [x] Store original files
   - [ ] File learning Agent

3. Multiple effect testing channels

- [x] Single-point knowledge base search test
   - [x] Feedback references and ability to modify and delete during dialogue
   - [x] Complete context presentation
   - [ ] Complete module intermediate value presentation

4. OpenAPI

- [x] completions interface (aligned with GPT interface)
   - [ ] Knowledge base CRUD

5. Operational functions

- [x] Login-free sharing window
   - [x] One-click embedding with Iframe
   - [ ] Unified access to dialogue records

## 👨‍💻 Development

Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)

- **⚡ Deployment**

[![](https://cdn.jsdelivr.us/gh/labring-actions/templates@main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)

Give it a 2-4 minute wait after deployment as it sets up the database. Initially, it might be a tad slow since we're using the basic settings.

- [Getting Started with Local Development](https://doc.fastgpt.run/docs/development)
- [Deploying FastGPT](https://doc.fastgpt.run/docs/installation)
- [Guide on System Configs](https://doc.fastgpt.run/docs/installation/reference)
- [Configuring Multiple Models](https://doc.fastgpt.run/docs/installation/reference/models)
- [Version Updates & Upgrades](https://doc.fastgpt.run/docs/installation/upgrading)

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## 👀 Others

- [FastGPT FAQ](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
- [Docker Deployment Tutorial Video](https://www.bilibili.com/video/BV1jo4y147fT/)
- [Official Account Integration Video Tutorial](https://www.bilibili.com/video/BV1xh4y1t7fy/)
- [FastGPT Knowledge Base Demo](https://www.bilibili.com/video/BV1Wo4y1p7i1/)

## 💪 Related Projects

- [Laf: 3-minute quick access to third-party applications](https://github.com/labring/laf)
- [Sealos: Rapid deployment of cluster applications](https://github.com/labring/sealos)
- [One API: Multi-model management, supports Azure, Wenxin Yiyuan, etc.](https://github.com/songquanpeng/one-api)
- [TuShan: Build a backend management system in 5 minutes](https://github.com/msgbyte/tushan)

## 🤝 Third-party Ecosystem

- [luolinAI: Enterprise WeChat bot, ready to use](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)

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