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markdowm.py
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description = '''
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# π **
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Welcome to the
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## β¨ **Application Overview**
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With
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### **Key Features**
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- **Choice of Models:** Access a list of powerful LLMs and embedding models for optimal results.
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### π **Get Started Today and Experience Document-Centric Question Answering**
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Whether you're a student, researcher, or professional,
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'''
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guide = '''
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description = '''
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# π **QueryVault Chatbots: A RAG-Based chatbots for Interactive Document Querying**
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Welcome to the HundAI QueryVault Chatbot, a sophisticated Retrieval-Augmented Generation (RAG) application that utilizes Large Language Models to answer questions based on documents you upload. This bot is designed to empower you with rapid, insightful responses, providing a choice of language models (LLMs) and embedding models that cater to various requirements, including performance, accuracy, and response time.
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## β¨ **Application Overview**
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With QueryVault Chatbot, you can interactively query your document, receive contextual answers, and dynamically switch between LLMs as needed for optimal results. The bot supports various file formats, allowing you to upload and analyze different types of documents and even some image formats.
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### **Key Features**
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- **Choice of Models:** Access a list of powerful LLMs and embedding models for optimal results.
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---
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### π **Get Started Today and Experience Document-Centric Question Answering**
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Whether you're a student, researcher, or professional, HundAI QueryVault Chatbot is your go-to tool for interactive, accurate document analysis. Upload your file, select your model, and dive into a seamless question-answering experience tailored to your document's unique content.
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'''
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guide = '''
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