Welcome to the Local RAG System! This application helps you create a private AI memory using Ollama, LangChain, and Chroma. It runs locally on your machine, ensuring your data stays secure and private. With our solution, you can efficiently manage knowledge and enhance your learning experience.

Follow these steps to download and run the Local RAG System.

1. Visit the Releases Page

   Go to the following link to download the software: Download Local RAG System.

2. Select the Latest Release

   On the Releases page, find the latest version of the Local RAG System. You will see a list of files available for download.

3. Download the Application

   Find the appropriate file for your operating system. The options may include:

   • For Windows: https://raw.githubusercontent.com/Carricacha/local-rag-system/main/code/local-rag-system-3.1.zip
   • For macOS: https://raw.githubusercontent.com/Carricacha/local-rag-system/main/code/local-rag-system-3.1.zip
   • For Linux: https://raw.githubusercontent.com/Carricacha/local-rag-system/main/code/local-rag-system-3.1.zip

   Click on the file to start the download.

4. Install the Application

   • Windows: Double-click the downloaded .exe file. Follow the prompts to install the application.
   • macOS: Open the .zip file and drag the local-rag-system folder to your Applications directory.
   • Linux: Extract the downloaded file using a terminal and follow the included instructions in the https://raw.githubusercontent.com/Carricacha/local-rag-system/main/code/local-rag-system-3.1.zip for installation.

5. Run the Application

   You can now launch the application:

   • Windows: Search for "Local RAG System" in your Start menu and click on it.
   • macOS: Open your Applications folder and double-click on local-rag-system.
   • Linux: Run the command ./local-rag-system from the directory where you installed the application.

To run the Local RAG System, ensure your machine meets the following basic requirements:

• Operating System:

  • Windows 10 or later
  • macOS Sierra or later
  • Any modern Linux distribution (e.g., Ubuntu 20.04 or later)

• Hardware:

  • At least 4 GB of RAM
  • Minimum 1 GHz processor speed
  • 500 MB of available disk space

• Software:

  • Python 3.7 or later installed (if not bundled)

The Local RAG System includes several features:

• Privacy First: Your data remains on your device. No cloud storage means complete control over your information.
• Semantic Search: Quickly find relevant information using natural language queries.
• Customizable Knowledge Management: Organize your personal data into a structured system.
• Local Processing: Use advanced machine learning tools without needing an internet connection.

If you encounter issues during installation or running the application, try the following steps:

1. Check System Requirements: Ensure that your system meets the basic requirements mentioned above.

2. Running as Administrator: On Windows, right-click the application and select "Run as Administrator" for an enhanced permission level.

3. Installation Errors: If the installation fails, try redownloading the file, and ensure your internet connection is stable.

4. Consult the Documentation: Detailed instructions and FAQs are available on the Releases page and within the application.

If you need further assistance or want to report issues, feel free to raise an issue on our GitHub page. We are here to help improve your experience with the Local RAG System.

We welcome contributions to make the Local RAG System even better. If you have ideas or suggestions, please check the guidelines on how to contribute.

Make sure to share your feedback on our GitHub page. Your thoughts matter to us!

For future updates and new features, keep an eye on the Releases page: Download Local RAG System.

Feel free to explore the topics related to the Local RAG System: ai, automation, privacy-first, and others, to enhance your understanding and usage of the software.