🚀 DataMind AI

Intelligent Data & Document Assistant

DataMind AI is an open-source AI platform that empowers users to analyze tabular data, chat with their databases via Text-to-SQL, and extract insights from documents using RAG (Retrieval-Augmented Generation).

🌟 Features

• Data Analytics Pipeline: Upload CSV/Excel files and instantly get cleaned data and statistical insights.
• Text-to-SQL (AI Agents): Ask questions in natural language, and the AI will generate and execute SQL queries on your PostgreSQL database securely.
• Document Intelligence (RAG): Upload PDFs and chat with your documents. Get highly accurate answers backed by source citations to prevent hallucinations.
• Modern API Backend: Built on high-performance FastAPI.

🛠️ Tech Stack

• Backend: Python, FastAPI, SQLAlchemy
• Data Science: Pandas, Numpy, Scikit-Learn
• AI & LLM: OpenAI, LangChain, ChromaDB (Vector Store)
• Database: PostgreSQL

🚀 Getting Started

Prerequisites

• Python 3.10+
• PostgreSQL
• OpenAI API Key

Installation

1. Fork and Clone the repository:

   git clone https://github.com/YOUR_USERNAME/DataMind_AI.git
   cd DataMind_AI

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Environment Variables: Copy the .env.example file to .env and fill in your details:

   cp .env.example .env

5. Run the server:

   uvicorn main:app --reload

   Access the API documentation at http://127.0.0.1:8000/docs.

🤝 Contributing

We welcome contributions! Please see our CONTRIBUTING.md for details on how to submit pull requests, report issues, and our coding standards.

📜 License

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