OpenMindAI - RAG Knowledge Base System Framework

OpenMindAI is a knowledge base system framework based on RAG (Retrieval-Augmented Generation) that combines modern web technologies and AI models to provide intelligent Q&A and knowledge management capabilities.

Technology Stack

Frontend

• Framework: Vue 3
• UI Framework: soybean-admin backend management system
• Build Tool: Vite

Backend

• Node.js:
  • Web API service
  • User authentication
  • File upload and parsing
  • Data storage
• Python:
  • ChromaDB vector database
  • Transformer pre-trained models
  • Contextual conversation management

Project Structure

.
├── backend/ # Backend services
│ ├── node/ # Node.js service
│ └── python/ # Python AI service
└── frontend/ # Frontend application
├── public/ # Static resources
├── src/ # Source code
└── packages/ # Local packages

Quick Start

1. Clone the repository

   git clone https://github.com/your-repo/OpenMindAI.git
   cd OpenMindAI

2. Install dependencies

   # Frontendcd frontend
   pnpm install
   # Backend (Node.js)cd ../backend/node
   yarn install
   # Backend (Python)cd ../python
   pip install -r requirements.txt

3. Start services

   # Start frontend dev servercd frontend
   pnpm dev
   # Start Node.js servicecd backend/node
   pnpm dev
   # Start Python AI servicecd backend/python
   python app.py

API Documentation

Node.js API

• POST /api/auth/login - User login
• POST /api/upload - File upload
• GET /api/documents - Get document list

Python AI API

• POST /api/chat - Contextual conversation
• POST /api/search - Knowledge base search

Contributing Guide

We welcome all types of contributions! Please follow these steps:

1. Fork the project
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

MIT