Simple vector quantization utilities and functions.
A vector quantization library for Rust
Quantization and compression for LNMP embedding vectors with minimal accuracy loss
Implementation of Google's TurboQuant algorithm for vector quantization
Shared CUDA GPU backend for fib-quant and turbo-quant vector quantization (Hadamard rotation kernel, codebook lookup kernel, parity-verified)
Experimental Rust implementation of the FibQuant radial-angular vector quantization core
RuVector Format temperature-tiered vector quantization (f32/f16/u8/binary)
Linear Predictive Coding Vector Quantization and Hidden Markov Modeling for Pattern Recognition
BitPolar: near-optimal vector quantization with zero training overhead — 3-bit precision, provably unbiased inner products (ICLR 2026)
TurboQuant vector quantization for mnemonist — near-optimal MSE and inner-product quantizers
Fast, lightweight, in-process vector database with HNSW indexing, E8/H4 lattice quantization (up to 24.8x compression), metadata filtering, and PyO3 bindings
Vector quantization primitives (RaBitQ, ternary, bit packing) for ANN systems.