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PDF Processing with Llama Index and Hugging Face Models: Utilize Llama Index for efficient PDF indexing and querying, integrated with Hugging Face models for advanced natural language processing tasks.

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PDF Processing with Llama Index and Hugging Face Models

Project Overview

Project Description

This project utilizes Llama Index and Hugging Face models for efficient PDF document indexing and querying.
  • The goal is to create a system that can index PDF documents and perform accurate queries based on user input.

Installation

Prerequisites

- Python 3.7 or higher
- Pip package manager

Install Required Packages

  • pip install pypdf python-dotenv transformers sentence_transformers llama-index

Acknowledgments

- Thanks to the contributors of Llama Index and Hugging Face for their powerful libraries.

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PDF Processing with Llama Index and Hugging Face Models: Utilize Llama Index for efficient PDF indexing and querying, integrated with Hugging Face models for advanced natural language processing tasks.

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