🍃 MongoChat

A SaaS-style AI assistant that allows users to securely connect and chat with their own MongoDB Atlas data using Google's Gemini AI.

Live Website: https://romannihal-mongo-chat-app-3iou6q.streamlit.app/

Built with Streamlit, Google Gemini, PyMongo, and uv.

🚀 Features

• Bring Your Own Database: Users securely connect their own MongoDB Atlas clusters via the UI.
• AI-Powered Analysis: Uses Gemini 1.5 Flash to reason across fetched JSON documents.
• SaaS Constraints: Includes built-in logic for a "Free Tier" (3 messages per session) and token limits.
• Service-Oriented Architecture: Modular codebase separating business logic, database services, and UI.
• Modern Stack: Powered by uv for lightning-fast dependency management.

🛠️ Tech Stack

• Frontend: Streamlit
• AI Engine: Google Gemini (Generative AI)
• Database: PyMongo (MongoDB Atlas)
• Package Manager: uv

🧪 Usage

⚠️ Important Prerequisite: > Before connecting, ensure your MongoDB Atlas cluster allows connections from outside your local network. Go to Network Access in Atlas and select "Allow Access from Anywhere" (whitelist IP 0.0.0.0/0). This is required for the Streamlit Cloud server to reach your database.

1. Open the app in your browser.
2. Sidebar Config:
   • Connection String: Paste your MongoDB Atlas URI (e.g., mongodb+srv://...).
   • Database Name: Enter the specific database name (e.g., ecommerce_db).
   • Collection Name: Enter the collection you want to chat with (e.g., products).
3. Link: Click "Link Database" to securely fetch the documents and initialize the context.
4. Chat: Ask questions to extract insights from your specific data (e.g., "Which product has the highest rating?").