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116 lines
4.4 KiB
Markdown
116 lines
4.4 KiB
Markdown
<div align="center">
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<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
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# FastGPT
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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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</div>
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<p align="center">
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<a href="https://fastgpt.run/">Online</a>
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·
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<a href="https://doc.fastgpt.run/docs/intro">Document</a>
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<a href="https://doc.fastgpt.run/docs/development">Development</a>
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<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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</p>
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## 🛸 Online
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[fastgpt.run](https://fastgpt.run/)
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| ---------------------------------- | ---------------------------------- |
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## 💡 Features
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1. Powerful visual orchestration for easy AI application building
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- [x] Provides a simple mode without the need for orchestration operations
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- [x] User dialogue pre-guidance
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- [x] Global variables
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- [x] Knowledge base search
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- [x] Multi-LLM model dialogue
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- [x] Extraction of text content into structured data
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- [x] HTTP extension
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- [ ] Sandbox JS runtime module
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- [ ] Continuous dialogue guidance
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- [ ] Dialogue multi-path selection
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- [ ] Source file reference tracking
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2. Rich knowledge base preprocessing
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- [x] Multiple library reuse and mixing
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- [x] Chunk record modification and deletion
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- [x] Supports direct segment import
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- [x] Supports QA split import
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- [x] Supports manual input content
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- [ ] Supports URL import reading
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- [x] Supports batch import of Q&A pairs in CSV format
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- [ ] Supports separate vector model settings for knowledge bases
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- [ ] Source file storage
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3. Multiple effect testing channels
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- [x] Knowledge base single point search testing
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- [x] Feedback references and ability to modify and delete during dialogue
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- [x] Complete context presentation
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- [ ] Complete module intermediate value presentation
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4. OpenAPI
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- [x] completions interface (aligned with GPT interface)
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- [ ] Knowledge base CRUD
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5. Operational functions
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- [x] Login-free sharing window
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- [x] One-click embedding with Iframe
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- [ ] Unified access to dialogue records
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## 👨💻 Development
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Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
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- [Getting Started with Local Development](https://doc.fastgpt.run/docs/development)
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- [Deploying FastGPT](https://doc.fastgpt.run/docs/installation)
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- [System Configuration File Explanation](https://doc.fastgpt.run/docs/installation/reference)
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- [Multi-model Configuration](https://doc.fastgpt.run/docs/installation/reference/models)
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- [V3 Upgrade V4 Initialization](https://doc.fastgpt.run/docs/installation/upgrading)
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<!-- ## :point_right: RoadMap
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- [FastGPT RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte) -->
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<!-- ## 🏘️ Community
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| Community Group | Assistant |
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| ------------------------------------------------- | ---------------------------------------------- |
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|  |  | -->
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## 👀 Others
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- [FastGPT FAQ](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
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- [Docker Deployment Tutorial Video](https://www.bilibili.com/video/BV1jo4y147fT/)
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- [Official Account Integration Video Tutorial](https://www.bilibili.com/video/BV1xh4y1t7fy/)
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- [FastGPT Knowledge Base Demo](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
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## 💪 Related Projects
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- [Laf: 3-minute quick access to third-party applications](https://github.com/labring/laf)
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- [Sealos: Rapid deployment of cluster applications](https://github.com/labring/sealos)
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- [One API: Multi-model management, supports Azure, Wenxin Yiyuan, etc.](https://github.com/songquanpeng/one-api)
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- [TuShan: Build a backend management system in 5 minutes](https://github.com/msgbyte/tushan)
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## 🤝 Third-party Ecosystem
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- [luolinAI: Enterprise WeChat bot, ready to use](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
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## 🌟 Star History
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[](https://star-history.com/#labring/FastGPT&Date)
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