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FastGPT
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.
https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
🛸 Use Cloud Services
Cloud: fastgpt.in
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💡 Features
1 Application Orchestration Features
- Offers a straightforward mode, eliminating the need for complex orchestration
- Provides clear next-step instructions in dialogues
- Facilitates workflow orchestration
- Tracks references in source files
- Encapsulates modules for enhanced reuse at multiple levels
- Combines search and reordering functions
- Includes a tool module
- Integrates Laf for online HTTP module creation
- Plugin encapsulation capabilities
2 Knowledge Base Features
- Allows for the mixed use of multiple databases
- Keeps track of modifications and deletions in data chunks
- Enables specific vector models for each knowledge base
- Stores original source files
- Supports direct input and segment-based QA import
- Compatible with a variety of file formats: pdf, docx, txt, html, md, csv
- 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
- Enables targeted search testing within the knowledge base
- Allows feedback, editing, and deletion during conversations
- Presents the full context of interactions
- Displays all intermediate values within modules
- Advanced DeBug mode for orchestration
4 OpenAPI Interface
- The completions interface (aligned with GPT's chat mode interface)
- CRUD operations for the knowledge base
- CRUD operations for conversations
5 Operational Features
- Share without requiring login
- Easy embedding with Iframe
- Customizable chat window embedding with features like default open, drag-and-drop
- Centralizes conversation records for review and annotation
👨💻 Development
Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
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⚡ Deployment
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.
🏘️ Community & support
- 🌐 Visit the FastGPT website for full documentation and useful links.
- 💬 Join our Discord server is to chat with FastGPT developers and other FastGPT users. This is a good place to learn about FastGPT, ask questions, and share your experiences.
- 🐞 Create GitHub Issues for bug reports and feature requests.
👀 Others
- FastGPT FAQ
- Docker Deployment Tutorial Video
- Official Account Integration Video Tutorial
- FastGPT Knowledge Base Demo
💪 Related Projects
- Laf: 3-minute quick access to third-party applications
- Sealos: Rapid deployment of cluster applications
- One API: Multi-model management, supports Azure, Wenxin Yiyuan, etc.
- TuShan: Build a backend management system in 5 minutes
🤝 Third-party Ecosystem