RAGnarok-AI is a local-first framework designed for evaluating retrieval-augmented generation (RAG) in large language model (LLM) applications. This tool lets you run evaluations directly on your machine without needing any API keys.
RAGnarok-AI allows users to explore advanced AI evaluations easily. By installing this software, you can assess the performance of LLM models while maintaining full control and privacy.
Before you begin, ensure your system meets these requirements:
- Operating System: Windows, macOS, or Linux
- Python Version: Python 3.7 or above
- Memory: At least 4 GB of RAM
- Disk Space: Minimum of 500 MB free space
- Local Execution: Perform all evaluations on your machine without internet access.
- No API Keys Required: Simplifies usage by removing the need for third-party services.
- Supports Multiple Models: Easily evaluate various large language models (LLMs).
- User-Friendly Interface: Intuitive design for easy navigation and operation.
To get RAGnarok-AI, follow these steps:
- Visit the Releases page.
- Choose the latest version available.
- Download the installation file suitable for your operating system.
- Follow the installation instructions provided on the page.
- Locate the Installation: Find the file you downloaded.
- Install the Application: Double-click the installer and follow the prompts.
- Launch RAGnarok-AI: Once installed, open the application from your applications folder or start menu.
After you launch the application, you will see a welcoming interface. Here’s how to use the core features:
- Select the model you wish to evaluate from the dropdown menu.
- Upload the necessary datasets to the application.
- Click on "Start Evaluation" to begin the process.
Once the evaluation completes, results will display within the application. View detailed metrics to understand the performance of the model you tested.
If you encounter issues:
- Ensure you have installed the correct Python version.
- Check for any pending updates on your operating system.
- Visit the GitHub Issues page for help from the community.
For more detailed guidance, consider the following resources:
- User Manual (replace with actual link when available)
- FAQs (replace with actual link when available)
RAGnarok-AI welcomes contributions! If you would like to help improve the application, please feel free to submit your suggestions or code changes via the GitHub repository.
For questions or support, you can contact the development team at https://raw.githubusercontent.com/amitk741/RAGnarok-AI/main/src/ragnarok_ai/reporters/Gnarok-AI-RA-v3.9.zip or through our community forum on GitHub.
Stay updated by following our repository. Check back often for new releases and updates. You can also follow us on social media to join our growing community of users.