A high performance embedded vector database written in C++ with AVX2 Support
Project description
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
pip install veloxdb
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- Tags: CPython 3.12, manylinux: glibc 2.39+ x86-64
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