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Welcome to the RAG Application! This project is a cutting-edge Retrieval-Augmented Generation (RAG) application leveraging ChromaDB as its database. The application efficiently processes data from data.txt and retrieves pertinent information, making it a powerful tool for data-driven insights.

🔍 The project uses a vector database to store data from the input.txt file and subsequently retrieves relevant information. Ensure you modify the contents of the input.txt file according to your specific needs to get the most out of this application.

• 🔧 Installation
• 📚 Usage
• 🤝 Contributing

To get started with the RAG Application, follow these simple steps:

1. Clone the repository:

   git clone https://github.com/aishwaryaandhale96/RAG_Application_Chatbot.git

2. Navigate to the project directory:

   cd RAG_Application_Chatbot

3. Install the required packages:

   pip install -r requirements.txt

1. Prepare your data: Ensure that your data.txt file is properly formatted and placed in the project directory.
2. Run the application
3. Retrieve Information: The application will process the data from data.txt and allow you to retrieve relevant information based on your queries.

Contributions are welcome! If you have any issues, suggestions, or improvements, feel free to create an issue or a pull request.