GrainVDB is a high-performance vector search engine built in native C++. It is designed to work seamlessly with Apple Silicon and is perfect for local-first AI applications. You can quickly download and run it on your system by following these steps.
- High Performance: GrainVDB uses advanced algorithms to provide fast vector searches.
- Apple Silicon Optimization: Fully utilizes the capabilities of Apple Silicon chips for better performance.
- Local-First AI: Works efficiently with local data, ensuring your data remains secure.
- User-Friendly Interface: Simple to use, even for non-technical users.
To run GrainVDB, you will need:
- macOS 11.0 or later
- Apple Silicon hardware (M1, M2, or later)
- At least 4 GB of RAM
- Approximately 100 MB of free disk space
To get started, visit this page to download. You will find the latest release available for download. Follow these instructions:
- Click on the "Releases" link.
- Choose the appropriate version for your macOS system.
- Download the
.pkgor.dmgfile listed under the release.
- Locate the Downloaded File: Once the download is complete, find the file in your Downloads folder.
- Open the Installer: Double-click the
.pkgor.dmgfile to begin the installation process. - Follow the Prompts: The installation wizard will guide you through the process. Click "Continue" on each screen.
- Finish Installation: Once complete, GrainVDB will install on your machine.
- Launch the Application: You can find GrainVDB in your Applications folder. Double-click to launch.
- Load Your Data: Use the interface to load your dataset into the application.
- Run Vector Searches: Use the built-in tools to perform vector searches effortlessly.
- View Results: Analyze the results displayed on your screen.
If you encounter any issues, consider the following:
- Check System Requirements: Ensure your device meets the requirements listed above.
- Restart the Application: Close and reopen GrainVDB if it doesn't respond.
- Review Documentation: Detailed guides are available in the Github repository.
For more help, feel free to create an issue on the GitHub repository or contact the support team.
Repository Topics:
- apple-silicon
- cpp
- high-performance-computing
- local-ai
- machine-learning
These topics represent areas where GrainVDB excels and allows users to understand its capabilities better.
GrainVDB is released under the MIT License. You are free to use and modify it as per your requirements, with proper attribution.
Contributions to GrainVDB are welcome! If you want to suggest improvements or contribute features, please visit the GitHub page for guidelines on submitting pull requests.
Start making the most of your data with GrainVDB today!