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On-Device AI RAG using ObjectBox Vector Database and LangChain 📱🤖

Welcome to the On-Device AI RAG project! This repository demonstrates how to utilize the ObjectBox Vector Database and LangChain to build a robust Retrieval-Augmented Generation (RAG) system directly on your device.

🚀 Features

• On-Device Processing: No need for constant internet access.
• Efficient Data Retrieval: Fast and reliable vector search with ObjectBox.
• Powerful Generation: Leverage LangChain for sophisticated text generation.

On-Device.AI.RAG.using.ObjectBox.Vector.Database.and.LangChain.mp4

📚 Overview

This project combines the strengths of ObjectBox and LangChain to provide a seamless on-device AI experience. It is designed to:

1. Ingest Data: Easily add and store data in the ObjectBox vector database.
2. Search and Retrieve: Quickly find relevant information using vector search.
3. Generate Responses: Use LangChain to create meaningful responses based on retrieved data.

🛠️ Installation

Follow these steps to get started:

1. Clone the repository:

   git clone https://github.com/muhammadadilnaeem/On-Device-AI-RAG-using-ObjectBox-Vector-Database-and-LangChain.git
   cd On-Device-AI-RAG-using-ObjectBox-Vector-Database-and-LangChain

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   streamlit run app.py

📈 How This Can Be Improved

• User Interface: Enhance the UI to make it more intuitive and user-friendly.
• Customization: Allow users to upload their own datasets for personalized experiences.
• Optimization: Improve the efficiency of data processing and retrieval.

💡 Potential Uses

This project can be a foundation for various applications:

• Personal Assistants: Create an on-device AI assistant that works offline.
• Educational Tools: Build tools that provide instant information and explanations.
• Business Solutions: Develop systems for quick data access and decision support.

🌟 How It Helps Common People

By enabling powerful AI functionalities directly on their devices, users can:

• Access Information Anywhere: No need to rely on internet connectivity.
• Ensure Privacy: Keep their data and interactions private and secure.
• Enjoy Faster Responses: Benefit from the speed of on-device processing.

🤝 Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

📄 License

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

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