💬 RAG-based Chatbot Demo – Context-Sensitive Q\&A

Welcome to the RAG (Retrieval-Augmented Generation) chatbot demo! This bot is designed to intelligently query and answer questions based on the context of a provided document—in this case, a sample romantic book.

🧠 How it works:

• Uses retrieval-based techniques to fetch the most relevant chunks from the uploaded book.
• Leverages language generation to produce coherent, context-aware answers.
• Ensures that answers are grounded in the source material.

📖 Demo Source: A sample romantic novel has been included to test how well the chatbot understands and responds to questions from the story.

🚀 Try it out here:

RagChatbot - Novels Visit Demo

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🛠️ Use Cases

• Literature-based Q\&A bots
• Personalized assistants for eBooks
• Context-sensitive help systems
• Educational tools for deep text comprehension

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🧪 Sample Prompts to Try

• “What is the main conflict in the story?”
• “Describe the relationship between the two lead characters.”
• “Where does the story take place??”

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Let me know your feedback or ideas to enhance the bot! ✨