🪶 QueryNest

QueryNest is a smart file search app built with Flutter and Vector Databases.
Instead of searching files by their names, QueryNest lets you ask questions or provide a topic, and it finds the most relevant files based on meaning (semantic search).

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✨ Features

• 📂 Add and manage multiple files in the app.
• 🔍 Semantic search powered by embeddings + vector DB (meaning-based search, not just filename).
• 🧠 Ask natural language questions to retrieve files.
• 📱 Built with Flutter for cross-platform support.
• ⚡ Supports both browser/web preview and real device testing.

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🛠️ Tech Stack

• Frontend: Flutter
• Backend/Vector Store: Python + Vector DB (FAISS)
• Platform: Works on Android, iOS (with Mac for builds), Web, and Desktop

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🚀 Getting Started

Prerequisites

• Flutter SDK (>=3.x) installed → Install Flutter
• Python 3.x with virtual environment
• A Vector DB service account (or local FAISS setup)

Clone the Repository

git clone https://github.com/<your-username>/QueryNest.git
cd QueryNest

Install Flutter Dependencies

flutter pub get

Run on Browser

flutter run -d chrome

Install Flutter Dependencies

flutter pub get

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🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you’d like to add.

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📜 License

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