FastGPT

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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.

    

🎥 Comprehensive Feature Demonstration

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

🛸 Online Use

Website: tryfastgpt.ai

Conversational AI Setup	Workflow Automation
Knowledge Base Setup	Integration Process

💡 Features

Features	Details
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
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
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
OpenAPI Interface	✅ The completions interface (aligned with GPT's chat mode interface) ✅ CRUD operations for the knowledge base 🔜 CRUD operations for conversation
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 + MongoDB + PostgreSQL (PG Vector plug-in)/Milvus

• ⚡ Fast Deployment

  When using Sealos services, there is no need to purchase servers or domain names. It supports high concurrency and dynamic scaling, and the database application uses the kubeblocks database, which far exceeds the simple Docker container deployment in terms of IO performance.

  [](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 too slow since we're using the basic settings.

  sealos one click deployment tutorial

• Getting Started with Local Development

• Deploying FastGPT

• Guide on System Configs

• Configuring Multiple Models

• Version Updates & Upgrades

💪 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

• luolinAI: Enterprise WeChat bot, ready to use

🏘️ 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

🌱 Contributors

We welcome all forms of contributions. If you are interested in contributing code, you can check out our GitHub Issues to show us your ideas.

🌟 Star History

📄 Usage Agreement

This repository complies with the FastGPT Open Source License open source agreement.

1. Direct commercial use as a backend service is allowed, but provision of SaaS services is not allowed.
2. Without commercial authorization, any form of commercial service must retain relevant copyright information.
3. For full details, please see FastGPT Open Source License
4. Contact: Dennis@sealos.io , click to view commercial version pricing strategy