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This repository robustly implements a Question and Answer system using Large Language Models to process and extract insights from files. The proposed solution allows users to upload several document formats, such as md, and plain text. It will then enable querying the document and provide, with high accuracy, context-aware answers.

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Al04ni/LLM-Files-QA

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LLM-Files-QA

Whether for research, customer support, or personal projects, this repository provides an idea for building scalable and practical solution for document Q&A using LLMs.

Setup

  1. Clone the repository:
    git clone https://github.com/Al04ni/LLM-Files-QA.git
    cd LLM-Files-QA 
    
  2. Run the setup script
  ./setup.sh
  1. Activate the virtual environment:
  • Windows:
   .\venv\Scripts\activate
  • macOS/Linux:
  source venv/bin/activate
  1. Run the application:
      streamlit run app.py
    

Feel free to contribute, suggest improvements, or share your experiences with this repository as we continue to make knowledge more accessible and intuitive.

Happy coding!

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This repository robustly implements a Question and Answer system using Large Language Models to process and extract insights from files. The proposed solution allows users to upload several document formats, such as md, and plain text. It will then enable querying the document and provide, with high accuracy, context-aware answers.

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