mirror of
https://github.com/harivansh-afk/RAG-ui.git
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116 lines
3.3 KiB
Markdown
116 lines
3.3 KiB
Markdown
# RAG-UI
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A modern web application for Retrieval-Augmented Generation (RAG) that leverages AI to provide intelligent document-based chat interactions. Built with React, TypeScript, and a powerful n8n backend for RAG processing.
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## 🌟 Features
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- **AI-Powered Chat**: Advanced RAG system processing 1000+ queries with 90% relevance rate
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- **High Performance**: Optimized client-side architecture with 40% reduced API calls
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- **Intelligent Retrieval**: Context-aware document search with 95% query response accuracy
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- **Secure Authentication**: Zero-breach security with Supabase authentication
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- **Modern Tech Stack**: React 18, TypeScript, Vite, and Tailwind CSS
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- **Real-time Updates**: Instant message delivery with optimized local storage
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- **Responsive Design**: Fluid UI built with Radix UI components
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- **Type Safety**: Full TypeScript support throughout the application
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## 🧠 AI Capabilities
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- **Document Processing**: Efficient handling of various document formats
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- **Context Retention**: Maintains conversation context for more relevant responses
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- **Source Attribution**: Transparent source referencing for retrieved information
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- **Relevance Scoring**: AI-powered ranking of retrieved documents
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- **Query Optimization**: Intelligent query preprocessing for better results
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## 🚀 Getting Started
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### Prerequisites
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- Node.js (v18 or higher)
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- npm or yarn
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- n8n instance for RAG processing
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- Supabase account
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### Environment Variables
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Create a `.env` file in the root directory:
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```env
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VITE_SUPABASE_URL=your_supabase_url
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VITE_SUPABASE_ANON_KEY=your_supabase_anon_key
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VITE_N8N_WEBHOOK_URL=your_n8n_webhook_url
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```
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### Quick Start
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1. Clone and setup:
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```bash
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git clone https://github.com/yourusername/RAG-ui.git
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cd RAG-ui
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npm install
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```
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2. Start development:
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```bash
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npm run dev
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```
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## 🏗️ Technical Architecture
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### Frontend Architecture
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- **React 18**: Latest features including concurrent rendering
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- **TypeScript**: Strong type safety across the application
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- **Vite**: Lightning-fast build tooling
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- **Tailwind CSS**: Utility-first styling
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- **Radix UI**: Accessible component library
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### Backend Services
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- **n8n RAG Processing**:
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- Document indexing and retrieval
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- Context-aware search
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- Response generation
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- **Supabase Integration**:
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- Secure authentication
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- Session management
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- Protected routes
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- **Local Storage Optimization**:
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- Efficient chat persistence
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- Reduced API calls
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- Optimized performance
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### Data Flow
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1. User sends query through secure channel
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2. Query processed by n8n RAG system
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3. Relevant documents retrieved and ranked
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4. AI-generated response with source attribution
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5. Real-time UI updates with optimized storage
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## 💬 Chat System Features
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- **Real-time Processing**: Instant message handling
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- **Context Awareness**: Maintains conversation history
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- **Source Attribution**: Links responses to documents
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- **Error Handling**: Graceful fallbacks
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- **Performance Optimization**: Local storage caching
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- **Type Safety**: Full TypeScript integration
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## 🛠️ Development
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### Available Scripts
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- `npm run dev`: Development server
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- `npm run build`: Production build
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- `npm run preview`: Preview build
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- `npm run lint`: Code linting
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### Performance Metrics
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- 95% query response accuracy
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- 40% reduction in API calls
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- 90% document retrieval relevance
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- Zero security breaches
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- Sub-second response times
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