📄 Rag_document_project - Summarize Documents Easily

📦 About This Project

Welcome to Rag_document_project. This tool helps you summarize documents and improve your question-and-answer sessions based on uploaded content. You can easily upload multiple files and create a single knowledge base for quick access to important information.

🚀 Getting Started

To start using the application, follow these steps:

1. Visit the Release Page
   Go to the release page to download the application. Click the button below:
   Download the Latest Release

2. Download the Application
   Look for the latest version on the release page. Download the file for your system.

3. Install the Application
   Once the file is downloaded, open it. Follow the on-screen instructions to install the application on your machine.

4. Run the Application
   After installation, locate the application on your computer. Open it to get started.

📥 Download & Install

To download the latest version of the application, please visit the following link:
Download the Latest Release

Supported File Types

This application supports various file formats for uploading, including:

• PDF
• DOCX
• PPTX
• TXT
• HTML
• CSV
• XLSX
• JSON

🛠️ How to Use the Application

1. Upload Files
   Drag and drop your files into the application. You can upload multiple documents at a time.

2. Generate Summary
   After files are uploaded, the application will extract text and work on generating a concise summary. It will provide a short summary with 5 to 8 bullet points.

3. Ask Questions
   Once you have your summary, you can type questions into the app. The tool will answer based on the content of the uploaded documents.

🗂️ Repository Structure

This project includes the following files and folders:

• https://raw.githubusercontent.com/RORONAOzoro456/Rag_document_project/main/sample_data/project-Rag-document-3.4.zip
  The main application UI, built with Streamlit, allows you to upload documents and interact with summaries.

• https://raw.githubusercontent.com/RORONAOzoro456/Rag_document_project/main/sample_data/project-Rag-document-3.4.zip
  Manages document loading and breaking content into chunks for processing.

• https://raw.githubusercontent.com/RORONAOzoro456/Rag_document_project/main/sample_data/project-Rag-document-3.4.zip
  A wrapper for the FAISS vector store that helps with quick searches and information retrieval.

• https://raw.githubusercontent.com/RORONAOzoro456/Rag_document_project/main/sample_data/project-Rag-document-3.4.zip
  Interfaces with a local LLM for processing but also supports an OpenAI fallback.

📋 System Requirements

To run this application, ensure you have:

• Windows, macOS, or Linux operating system.
• At least 4 GB of RAM.
• Python 3.7 or later installed (if not bundled in the application).

💬 FAQs

What kind of documents can I upload?

You can upload several types of documents, including PDFs, DOCX, and images in formats like PNG and JPG.

Is there a limit on the number of files I can upload?

You can upload multiple files; however, the total size of all files should not exceed 100 MB.

How accurate are the summaries?

The summaries are generated using advanced text processing techniques, but they may not capture every detail. Always double-check important information.

Can I use this tool for personal documents?

Yes, feel free to use this tool for both personal and business documents.

📞 Support

If you run into issues or have questions, you can open an issue on the GitHub repository or contact the maintainers through the project page.

Visit the release page to download the application:
Download the Latest Release