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.

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

🛸 Use Cloud Services

Cloud: fastgpt.in

💡 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)

• ⚡ 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.

• Getting Started with Local Development

• Deploying FastGPT

• Guide on System Configs

• Configuring Multiple Models

• Version Updates & Upgrades

🏘️ 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

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• TuShan: Build a backend management system in 5 minutes

🤝 Third-party Ecosystem

• luolinAI: Enterprise WeChat bot, ready to use

🌟 Star History