InsightPDF - AI-Powered PDF Chat Application

InsightPDF is a Next.js application that allows users to chat with their PDF documents using AI. Upload any PDF and start asking questions about its content.

Features

• 📄 PDF file upload and processing
• 💬 Real-time chat interface
• 🔍 Semantic search within PDFs
• 👤 User authentication
• 📱 Responsive design
• 💾 Persistent chat history

Prerequisites

Before you begin, ensure you have:

• Node.js 18+ installed
• PostgreSQL database
• AWS S3 bucket
• Pinecone account
• OpenAI API key
• Clerk account

Environment Variables

Create a .env file in the root directory with the following variables:

# Database
DATABASE_URL="your-postgresql-connection-string"

# AWS S3
AWS_ACCESS_KEY_ID="your-aws-access-key"
AWS_SECRET_ACCESS_KEY="your-aws-secret-key"
AWS_REGION="your-aws-region"
NEXT_PUBLIC_S3_BUCKET_NAME="your-bucket-name"

# Pinecone
PINECONE_API_KEY="your-pinecone-api-key"
PINECONE_INDEX_NAME="your-pinecone-index-name"

# OpenAI
OPENAI_API_KEY="your-openai-api-key"

# Clerk
NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY="your-clerk-publishable-key"
CLERK_SECRET_KEY="your-clerk-secret-key"

Installation

1. Clone the repository:

git clone <repository-url>
cd insightpdf

2. Install dependencies:

npm install

3. Set up the database:

npm run db:push

4. Run the development server:

npm run dev

5. Open http://localhost:3000 with your browser.

Project Structure

src/
├── app/                    # Next.js app router
│   ├── api/               # API routes
│   ├── chat/             # Chat interface
│   └── page.tsx          # Home page
├── components/            # React components
├── lib/                   # Utility functions
│   ├── db/               # Database configuration
│   ├── pinecone.ts       # Pinecone setup
│   └── s3-server.ts      # AWS S3 configuration

API Routes

• POST /api/create-chat - Create new chat session
• POST /api/chat - Handle chat messages
• GET /api/get-context - Get PDF context
• POST /api/add-message - Save chat messages

Technologies Used

• Next.js
• React
• TypeScript
• Tailwind CSS
• DrizzleORM
• Pinecone
• OpenAI
• AWS S3
• Clerk

Development

To run tests:

npm run test

To run linting:

npm run lint

Production Deployment

1. Build the application:

npm run build

2. Start the production server:

npm start

Contributing

1. Fork the repository
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

This project is licensed under the MIT License - see the LICENSE file for details.