ExaOp Search 🔍

A powerful AI-powered search application that combines neural search using Exa API with intelligent analysis using OpenAI GPT.

Features ✨

• Neural Search: Advanced semantic search powered by Exa API
• AI Analysis: Intelligent content analysis using OpenAI GPT
• Modern UI: Clean, responsive chat interface with dark theme
• Twitter/X Integration:
  • Seamless Twitter content integration
  • Display of Twitter photos and media
  • Special handling of Twitter URLs and content
• Smart Summaries:
  • Precise, direct answers
  • Relevant supporting context
  • Source-based analysis
• Media Support:
  • Image display for articles and tweets
  • Support for multiple image formats
  • Responsive image grid layout

Tech Stack 🛠️

• Frontend: Next.js, React, Tailwind CSS
• Backend: Node.js, Express
• Search Engine: Exa API
• AI Analysis: OpenAI GPT
• Deployment: Vercel

Installation 📦

1. Clone the repository:

git clone <repository-url>
cd exaop-node

2. Install dependencies:

npm install

3. Set up environment variables:

   • Create a .env file based on .env.example
   • Add your Exa API key and OpenAI API key

4. Run the development server:

npm run dev

5. Open http://localhost:3000 in your browser to see the application.

Deployment to Vercel 🚀

This project is configured for easy deployment to Vercel.

1. Install the Vercel CLI:

npm install -g vercel

2. Deploy to Vercel:

vercel

3. Set up environment variables in the Vercel dashboard:
   • EXA_API_KEY
   • OPENAI_API_KEY
   • MODEL_NAME (optional)
   • TEMPERATURE (optional)
   • MAX_RESULTS (optional)

Project Structure 📂

exaop-node/
├── public/             # Static files
├── src/
│   ├── components/     # React components
│   ├── pages/          # Next.js pages
│   │   ├── api/        # API routes
│   │   └── index.js    # Home page
│   ├── styles/         # CSS styles
│   └── utils/          # Utility functions
├── .env.example        # Example environment variables
├── next.config.js      # Next.js configuration
├── package.json        # Dependencies and scripts
├── vercel.json         # Vercel deployment configuration
└── README.md           # Project documentation

License 📄

MIT

Acknowledgements 🙏

• Exa API for providing the neural search capabilities
• OpenAI for the GPT models used in analysis
• Next.js for the React framework
• Vercel for hosting and deployment