# FastGPT
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!
# FastGPT
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!
## 💡 Features
`1` Application Orchestration Features
- [x] Offers a straightforward mode, eliminating the need for complex orchestration
- [x] Provides clear next-step instructions in dialogues
- [x] Facilitates workflow orchestration
- [x] Tracks references in source files
- [x] Encapsulates modules for enhanced reuse at multiple levels
- [x] Combines search and reordering functions
- [ ] Includes a tool module
- [ ] Integrates [Laf](https://github.com/labring/laf) for online HTTP module creation
- [ ] Plugin encapsulation capabilities
`2` Knowledge Base Features
- [x] Allows for the mixed use of multiple databases
- [x] Keeps track of modifications and deletions in data chunks
- [x] Enables specific vector models for each knowledge base
- [x] Stores original source files
- [x] Supports direct input and segment-based QA import
- [x] Compatible with a variety of file formats: pdf, docx, txt, html, md, csv
- [x] Facilitates URL reading and bulk CSV importing
- [ ] Supports PPT and Excel file import
- [ ] Features a file reader
- [ ] Offers diverse data preprocessing options
`3` Application Debugging Features
- [x] Enables targeted search testing within the knowledge base
- [x] Allows feedback, editing, and deletion during conversations
- [x] Presents the full context of interactions
- [x] Displays all intermediate values within modules
- [ ] Advanced DeBug mode for orchestration
`4` OpenAPI Interface
- [x] The completions interface (aligned with GPT's chat mode interface)
- [x] CRUD operations for the knowledge base
- [ ] CRUD operations for conversations
`5` Operational Features
- [x] Share without requiring login
- [x] Easy embedding with Iframe
- [x] Customizable chat window embedding with features like default open, drag-and-drop
- [x] Centralizes conversation records for review and annotation
## 👨💻 Development
Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
- **⚡ Deployment**
[](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.in/docs/development)
- [Deploying FastGPT](https://doc.fastgpt.in/docs/installation)
- [Guide on System Configs](https://doc.fastgpt.in/docs/installation/reference)
- [Configuring Multiple Models](https://doc.fastgpt.in/docs/installation/reference/models)
- [Version Updates & Upgrades](https://doc.fastgpt.in/docs/installation/upgrading)
## 🏘️ Community
| Community Group |
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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