A modern platform for creating and managing AI-powered chatbots with OpenAI integration. Build custom chatbots with file-based knowledge and optional CometChat integration for real-time communication.

• 🤖 Create and manage multiple AI-powered chatbots
• 📚 Upload files to enhance your bot's knowledge base
• 🔍 Vector search for accurate and contextual responses
• 💬 Optional CometChat integration for real-time chat capabilities
• 🔒 Secure user authentication system
• 🔑 User-specific OpenAI API keys for privacy and billing control

• Vercel account
• GitHub account
• Neon PostgreSQL database (or any PostgreSQL provider)

Deploy directly to Vercel with one click:

1. Fork the repository

   Fork this repository to your GitHub account.

2. Set up Neon PostgreSQL database

   • Sign up for a Neon account
   • Create a new project
   • Create a new database (e.g., "chatbotdb")
   • Go to the "Connection Details" tab
   • Copy the connection string (it should look like postgres://user:password@endpoint/neondb)

3. Create a new Vercel project

   • Go to Vercel Dashboard
   • Click "Add New" → "Project"
   • Import your forked repository

4. Configure environment variables

   Add the following environment variables in the Vercel project settings:

   • DATABASE_URL: Your Neon PostgreSQL connection string (from step 2)
   • JWT_SECRET: A secure random string for JWT token signing (generate with openssl rand -hex 32)

5. Deploy

   Click "Deploy" and wait for the build to complete.

6. Set up the database schema

   After deployment, go to your Vercel project dashboard:

   • Navigate to "Settings" → "Environment Variables"
   • Verify that your DATABASE_URL is correctly set
   • Go back to "Deployments" and trigger a new deployment to ensure the database schema is applied

• Node.js 18+ installed
• npm or yarn package manager
• Git installed
• PostgreSQL database (local or Neon)

1. Clone the repository

   git clone <repository-url>
   cd chatbot-builder

2. Install dependencies

   npm install
   # or
   yarn install

3. Set up environment variables

   # Copy the example environment file
   cp .env.example .env

   Update the .env file with your values:

   • DATABASE_URL: Your PostgreSQL connection string
   • JWT_SECRET: A secure random string for JWT token signing

4. Initialize the database

   # Run Prisma migrations
   npx prisma migrate deploy

5. Create a test user (optional)

   # This will create a user with email: [email protected] and password: test
   npm run create-test-user

6. Start the development server

   npm run dev

7. Access the application

   • Open your browser and navigate to http://localhost:3000
   • Log in with your credentials (or use [email protected] if you created the test user)
   • Go to the Settings page to add your OpenAI API key

This application uses user-specific OpenAI API keys:

• Each user must provide their own OpenAI API key in the settings page
• API keys are securely stored in the database
• No global API key is required for deployment
• Users can update or change their API keys at any time

chatbot-builder/
├── app/                  # Next.js app directory
│   ├── api/              # API routes
│   ├── bots/             # Bot management pages
│   ├── files/            # File management pages
│   └── settings/         # User settings page
├── components/           # React components
├── lib/                  # Utility functions
├── prisma/               # Database schema and migrations
└── public/               # Static assets

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

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