Doc-Chat - PDF Document Chat Application

A modern web application that allows users to upload PDF documents and interact with them using Retrieval-Augmented Generation (RAG) powered by LangChain and TypeScript.

Features

• PDF Document Upload: Drag-and-drop interface for uploading PDF files
• Text Extraction: Automatic text extraction from uploaded documents
• Vector Embeddings: Conversion of document content into vector embeddings
• Semantic Search: Intelligent document querying using RAG methodology
• Real-time Chat: Interactive chat interface for document conversations
• Modern UI: Clean, responsive interface built with shadcn-ui and Tailwind CSS

Tech Stack

Frontend

• Vite: Next-generation frontend tooling
• TypeScript: Type-safe JavaScript development
• React: UI framework with modern hooks
• shadcn-ui: Beautifully designed components
• Tailwind CSS: Utility-first CSS framework

Backend & AI

• LangChain: RAG implementation and document processing
• GROQ API: LLM integration for intelligent responses
• Supabase: Authentication, database, and storage solutions
• PDF.js: Client-side PDF text extraction
• Vector Store: Document embedding and retrieval system

Installation

# Clone the repository
git clone https://github.com/Jospin6/doc-chat.git
cd doc-chat

# Install dependencies
npm install

# Set up environment variables
cp .env.example .env
# Add your OpenAI API key to .env
GROQ_API_KEY=your_openai_api_key_here

# Start development server
npm run dev

### 2. Install dependencies

```bash
npm install

👨‍💻 Author

Built with ❤️ by Jospin Ndagano