Welcome to DeepSearch-FlashRAG! This application helps you tackle deep learning tasks with ease. Follow the steps below to download and run the software on your computer.
Before you begin, ensure your system meets these requirements:
- Operating System: Windows 10 or later, macOS Catalina or later, or a recent version of Linux
- Processor: Intel Core i5 or equivalent
- RAM: Minimum 8 GB
- Disk Space: At least 2 GB of free space
- Python: Version 3.6 or later installed
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Visit the Releases page to download: DeepSearch-FlashRAG Releases
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On the Releases page, you will find various versions of DeepSearch-FlashRAG. Look for the latest version at the top of the list.
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Click on the link for the version you want to download. This will begin downloading a file to your computer.
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Once the download is complete, locate the file in your computer's "Downloads" folder.
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Double-click the downloaded file to start the installation process.
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Follow the on-screen instructions to complete the installation.
After installation, you will find DeepSearch-FlashRAG in your applications.
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Open the application by double-clicking its icon.
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You will see a simple interface that allows you to load your data and run deep learning tasks quickly.
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Click on the βLoad Dataβ button to input your files.
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Set your parameters as needed and initiate the process by clicking βStart.β
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Your results will appear on the screen. You can also export them as needed.
DeepSearch-FlashRAG offers several features to make your work easier:
- User-Friendly Interface: Navigate through the app without confusion.
- Quick Data Loading: Load and process your datasets seamlessly.
- Custom Parameters: Adjust settings to fit your needs.
- Result Exporting: Easily save your results for future use.
If you encounter any issues during installation or use, here are some tips:
- Installation Hangs: Ensure you have administrative rights on your computer.
- Performance Issues: Close other applications to free up system resources.
- Application Crashes: Make sure your system meets the requirements outlined above.
For further assistance, feel free to visit the GitHub Issues page or reach out to the community. We are here to help you.
If you have questions or suggestions, please contact the developers via the GitHub repository: