Limbertutelvt2004

🤖 RAG - Chatbot That Understands Your PDF Documents

🚀 Getting Started

Welcome to RAG, a powerful chatbot that uses advanced technology to answer your questions based on your custom documents. With RAG, you can easily find information in your PDFs without any hassle.

✅ Key Features

• Accurate Answers: RAG provides precise responses to your queries from your documents.
• Easy to Use: The interface is user-friendly, designed for anyone, regardless of technical skills.
• Fast Retrieval: Get your answers quickly, thanks to the underlying retrieval-augmented generation method.
• Supports Multiple File Formats: Works seamlessly with custom PDFs and other document types.
• Integrated with Modern AI Tools: Built using LangChain and Streamlit for optimal performance.

📥 Download Now!

🌟 System Requirements

Before you download RAG, ensure your system meets these requirements:

• Operating System: Windows 10 or higher / macOS Mojave or higher
• RAM: Minimum 4 GB
• Disk Space: At least 200 MB free
• Python: Version 3.7 or higher must be installed

📂 Download & Install

To get RAG, please visit the Releases page to download the latest version:

Download RAG

Once you land on the page, look for the latest version, usually at the top. Click on the appropriate file for your operating system.

📥 Installation Steps

1. Download the File: Click on the link for your system to download the .exe or appropriate installer.
2. Run the Installer: Find the downloaded file in your Downloads folder and double-click it to start the installation process.
3. Follow Installation Instructions: A setup wizard will guide you through the installation. Simply click “Next” until the process completes.
4. Launch RAG: Once installed, you can find RAG in your Applications or Programs menu. Double-click to open.

🛠️ How to Use RAG

1. Open RAG: Launch the application from your computer.
2. Upload Your PDFs: Click on the “Upload” button and select the PDF files you want RAG to search.
3. Ask Your Questions: Enter your queries into the chatbox. RAG will analyze your documents and provide accurate responses.
4. Explore the Answers: Review RAG’s replies and get the information you need.

❓ Troubleshooting

If you encounter any issues while using RAG, consider these tips:

• Check the PDF Format: Ensure your documents are in a supported format.
• Reinstall the Application: If RAG is not working, try uninstalling and reinstalling it.
• Update Python: Make sure you have the latest version of Python installed.

📘 Additional Resources

• Documentation: For detailed features and advanced usage, check out our documentation on the GitHub Wiki.
• Community Support: Join our discussion board for community support and to share your thoughts.

📝 Topics Covered

• AI
• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• Semantic Search

Explore these topics in the context of RAG to enhance your understanding and capabilities.

📬 Feedback

We appreciate your input! If you have suggestions, questions, or issues, please open an issue on our GitHub repository.

🔗 Follow Us

Stay updated on the latest releases and features by following this repository. Your feedback helps us improve RAG and continue providing value.