DataLens AI – Global Data Chat & Insights

DataLens AI is an innovative platform that enables natural conversations with global datasets through AI-powered chat and visualization.

Features

• Natural language queries for complex datasets
• Rich visualizations and data insights
• Voice input support
• Real-time data processing
• Multi-turn conversations
• Semantic search capabilities

Tech Stack

Frontend

• React.js with TypeScript
• Tailwind CSS for styling
• Vite for build tooling

Backend

• Node.js with Express.js
• MongoDB Atlas with vector search
• OpenAI GPT-4 integration
• LangChain for prompt management
• Google Cloud services (Cloud Run, Vertex AI, Storage)

Getting Started

Prerequisites

• Node.js (v18 or higher)
• MongoDB Atlas account
• Google Cloud account
• OpenAI API key

Installation

1. Clone the repository

git clone https://github.com/cal250/DataLens-AI-Global-Data-Chat-Insights
cd datalens-ai

2. Install dependencies

# Install frontend dependencies
cd frontend
npm install

# Install backend dependencies
cd ../backend
npm install

3. Set up environment variables

# Frontend (.env)
VITE_API_URL=http://localhost:3000
VITE_OPENAI_API_KEY=your_openai_api_key

# Backend (.env)
MONGODB_URI=your_mongodb_uri
OPENAI_API_KEY=your_openai_api_key
GOOGLE_CLOUD_PROJECT=your_project_id

4. Start the development servers

# Start backend
cd backend
npm run dev

# Start frontend (in a new terminal)
cd frontend
npm run dev

Project Structure

datalens-ai/
├── frontend/           # React frontend application
├── backend/           # Node.js backend server
├── docs/             # Documentation
└── scripts/          # Utility scripts

Contributing

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

License

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

Acknowledgments

• OpenAI for GPT-4
• MongoDB for Atlas and vector search capabilities
• Google Cloud for infrastructure and AI services