Klark

Klark is a micro SaaS platform that enables intelligent interaction with PDF documents using advanced AI capabilities. Built with modern technologies, it provides document summarization and an AI-powered chat interface for querying document content.

Features

• 📑 PDF Document Processing

  • Document uploading and storage
  • Automatic text extraction and analysis
  • Document summarization

• 💬 Interactive Chat Interface

  • Real-time streaming responses
  • Context-aware document querying
  • Chat history analysis
  • Intelligent question generation

• 🔒 Security & Authentication

  • Secure user authentication via Lucia
  • Document access control
  • Session management

• 💳 Payment Integration

  • Stripe payment processing
  • Subscription management
  • Usage tracking

Tech Stack

Frontend

• Next.js with TypeScript
• Tailwind CSS for styling
• ShadCN/UI component library
• tRPC for type-safe API calls

Backend

• LangChain.js for AI operations
• OpenAI API for language processing
• ChromaDB for vector embeddings
• PostgreSQL with Drizzle ORM
• MinIO for PDF storage
• tRPC SSE for real-time streaming

Infrastructure

• Docker for containerization
• Traefik as reverse proxy and load balancer
• GitHub Actions for CI/CD
• Watchtower for automated deployments

Getting Started

Prerequisites

• Node.js 18+
• Docker and Docker Compose
• PostgreSQL
• MinIO
• ChromaDB
• OpenAI API key

Environment Setup

1. Clone the repository:

git clone https://github.com/yourusername/klark.git
cd klark

2. Install dependencies:

pnpm install

3. Create a .env file with the following variables:

DATABASE_URL=
OPENAI_API_KEY=
MINIO_ROOT_USER=
MINIO_ROOT_PASSWORD=
MINIO_ENDPOINT=
STRIPE_SECRET_KEY=
STRIPE_WEBHOOK_SECRET=

4. Initialize the database:

pnpm db:push

Development

1. Start the development environment:

docker-compose -f docker-compose.local.yml up -d
pnpm dev

2. Run the setup script:

./scripts/setup.sh

Production Deployment

1. Build the application:

pnpm build

2. Deploy using Docker Compose:

docker-compose up -d

Project Structure

.
├── src/
│   ├── app/          # Next.js app router
│   ├── components/   # React components
│   ├── lib/          # Utility functions
│   ├── server/       # Server-side code
│   └── trpc/         # tRPC configurations
├── drizzle/          # Database migrations
├── public/           # Static assets
└── scripts/          # Utility scripts

Features in Detail

Document Processing

• Automatic text extraction from PDFs
• Document chunking and embedding generation
• Vector storage in ChromaDB for efficient retrieval

Chat Interface

• Real-time streaming responses using tRPC SSE
• Context-aware document querying
• Intelligent follow-up question generation
• Chat history analysis for better context understanding

Authentication & Security

• User authentication and session management with Lucia
• Secure document access control
• Role-based permissions

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

MIT License

Support

For support, please open an issue in the GitHub repository or contact the maintainers.

Built with ❤️ using Next.js.