Metadata-Version: 2.2
Name: veloxdb
Version: 0.1.0
Summary: A high performance embedded vector database written in C++ with AVX2 Support
Author-Email: Pranav Bhat <pranavbhat2004@gmail.com>
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: C++
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Microsoft :: Windows
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9
Description-Content-Type: text/markdown

# Velox DB: High-speed vector database built with C++ powered by AVX2

VeloxDB is a high performance embedded vector database built from scratch in C++.

## Features
- Lightning-fast search: Written in C++ using AVX2 SIMD instructions.
- Scalable: Uses memory mapped files to handle larger-than-memory datasets.
- Smart: Implements IVF with K-Means Clustering for effective indexing of vectors.
- Easy-to-use: Simple and minimal Python API.

## Installation

```bash
pip install veloxdb
```
