README_en.md · 大风/FastGPT

# FastGPT

FastGPT is a knowledge-based question answering system built on the LLM. It offers out-of-the-box data processing and model invocation capabilities. Moreover, it allows for workflow orchestration through Flow visualization, thereby enabling complex question and answer scenarios!

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<p align="center">
<a href="https://fastgpt.run/">Online</a>
·
<a href="https://doc.fastgpt.run/docs/intro">Document</a>
·
<a href="https://doc.fastgpt.run/docs/development">Development</a>
·
<a href="https://doc.fastgpt.run/docs/installation">Deploy</a>
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<a href="#powered-by">Power By</a>
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## 🛸 Online

[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 orchestration for easy AI application building

- [x] Provides a simple mode without the need for orchestration operations
   - [x] User dialogue pre-guidance
   - [x] Global variables
   - [x] Knowledge base search
   - [x] Multi-LLM model dialogue
   - [x] Extraction of text content into structured data
   - [x] HTTP extension
   - [ ] Sandbox JS runtime module
   - [ ] Continuous dialogue guidance
   - [ ] Dialogue multi-path selection
   - [ ] Source file reference tracking

2. Rich knowledge base preprocessing

- [x] Multiple library reuse and mixing
   - [x] Chunk record modification and deletion
   - [x] Supports direct segment import
   - [x] Supports QA split import
   - [x] Supports manual input content
   - [ ] Supports URL import reading
   - [x] Supports batch import of Q&A pairs in CSV format
   - [ ] Supports separate vector model settings for knowledge bases
   - [ ] Source file storage

3. Multiple effect testing channels

- [x] Knowledge base single point search testing
   - [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)

- [Getting Started with Local Development](https://doc.fastgpt.run/docs/development)
- [Deploying FastGPT](https://doc.fastgpt.run/docs/installation)
- [System Configuration File Explanation](https://doc.fastgpt.run/docs/installation/reference)
- [Multi-model Configuration](https://doc.fastgpt.run/docs/installation/reference/models)
- [V3 Upgrade V4 Initialization](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)

大风/FastGPT

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