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๐Ÿ“„ Create a local, free Retrieval-Augmented Q&A system to easily extract answers from your personal documents in minutes.

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๐ŸŒŸ RAG-QA-demo - Get Instant Answers from Your Documents

๐Ÿš€ Getting Started

Welcome to the RAG-QA-demo! This application helps you turn your documents into instant answers using advanced technology. You can quickly find information, process questions, and get relevant answers from any text file.

๐Ÿ“ฅ Download the Application

Download RAG-QA-demo

To download the application, visit the page below:

๐Ÿ–ฅ๏ธ System Requirements

Before you start, make sure your computer meets these requirements:

  • Operating System: Windows 10 or later, macOS, or a modern Linux distribution (Ubuntu recommended)
  • Memory: At least 4 GB RAM
  • Storage: Minimum 200 MB of free disk space
  • Network: Internet connection for initial setup

๐Ÿ“– How to Install RAG-QA-demo

Follow these steps to install and run the application:

  1. Download the Application:

    • Click on the download link above to go to the Releases page.
    • Find the latest version of RAG-QA-demo.
    • Download the appropriate file for your operating system.
  2. Locate the File:

    • Open your Downloads folder or the location where your browser saves files.
    • Look for a file named RAG-QA-demo.zip or a similar name.
  3. Extract the Zip File:

    • Right-click on the downloaded file and select โ€œExtract Allโ€ or use a file extraction tool.
    • Follow the prompts to extract the files into a new folder.
  4. Run the Application:

    • Open the folder where you extracted the files.
    • Look for a file named RAG-QA-demo.exe (on Windows), RAG-QA-demo.app (on macOS), or RAG-QA-demo (on Linux).
    • Double-click the file to start the application.
  5. Follow On-Screen Instructions:

    • When the application opens, it may prompt you to upload a document. You can use PDF, TXT, or DOCX files.
    • Choose your document and wait a moment for the application to process it.
    • Once ready, you can start typing questions based on the content of your document.

โ“ How to Use RAG-QA-demo

Using RAG-QA-demo is simple. Follow these steps to ask questions:

  1. Upload Your Document:

    • Click on the โ€œUploadโ€ button.
    • Select a document from your files.
  2. Ask Questions:

    • Type your question into the provided text box.
    • Click the โ€œAskโ€ button.
  3. Receive Answers:

    • The application will analyze the document and provide you with relevant answers.
    • Review the answers and ask follow-up questions as necessary.

๐Ÿ”ง Troubleshooting Common Issues

Here are some common problems you might encounter and how to fix them:

  • The application wonโ€™t open:

    • Ensure you have the correct file for your operating system.
    • Make sure your system meets the minimum requirements listed above.
  • I canโ€™t upload my document:

    • Check that your document is in one of the supported formats (PDF, TXT, DOCX).
    • Verify that the file isnโ€™t corrupt or too large.
  • I donโ€™t receive answers:

    • Ensure your question is clear and relates to the content of the document.
    • Try asking a different question if no answer appears.

๐Ÿ“„ Features

RAG-QA-demo offers several key features to enhance your document interaction:

  • Instant Answers: Quickly get answers without reading through entire documents.
  • Contextual Understanding: The application utilizes advanced natural language processing to understand questions better.
  • User-Friendly Interface: Designed for ease of use with non-technical users in mind.
  • Multi-Document Support: Process multiple files and switch between them easily.
  • Search Capability: Find specific information within documents using search terms.

๐Ÿ”— Connect with Us

If you have any questions, suggestions, or feedback, you can reach out to the developers. Hereโ€™s where to find us:

  • Issues: If you find a bug or need help, please create an issue on the GitHub Issues page.
  • Contribute: If you want to contribute, check out our repository and follow the guidelines to submit your improvements.

๐ŸŒ Explore Topics

RAG-QA-demo connects with various topics in technology and data processing. Here are some related fields you might be interested in:

  • Document Question Answering
  • Information Retrieval
  • Natural Language Processing (NLP)
  • Vector Search with FAISS
  • Semantic Search Techniques

Thank you for choosing RAG-QA-demo. We hope it simplifies your document interaction experiences.