High-performance Rust core for position-safe embedding encoding (QuadB64 family)
Project description
uubed-rs
High-performance Rust core for position-safe embedding encoding (QuadB64 family).
Overview
This repository contains the Rust implementation of the uubed encoding library, providing:
- Q64 Encoding: Core position-safe encoding algorithm
- SIMD Optimizations: AVX2/AVX-512/NEON acceleration for maximum performance
- Zero-Copy Operations: Direct buffer access for minimal overhead
- Multiple Encoding Methods: SimHash, Top-k, Z-order variants
- PyO3 Bindings: High-performance Python integration
Features
- Position-Safe Encoding: Eliminates substring pollution in embeddings
- Multiple Variants: Eq64, Shq64, T8q64, Zoq64 for different use cases
- High Performance: 40-105x speedup over pure Python implementations
- Memory Efficient: Buffer pooling and zero-copy operations
- Cross-Platform: Linux, macOS, Windows support
- Multi-Architecture: x86_64, ARM64 with optimized SIMD
Installation
Install via pip:
pip install uubed-rs
Or build from source:
maturin build --release --features simd
Usage
import uubed_rs
# Basic encoding
data = b"hello world"
encoded = uubed_rs.q64_encode_native(data)
# Zero-copy with buffers
import numpy as np
input_buffer = np.frombuffer(data, dtype=np.uint8)
output_buffer = np.zeros(len(data) * 2, dtype=np.uint8)
written = uubed_rs.q64_encode_inplace_native(input_buffer, output_buffer)
Performance
- Q64 Encoding: Up to 105x faster than Python
- SimHash: 1.7-9.7x speedup with Rust implementation
- Z-order: 60-1600x performance improvement
- Memory Usage: 50-90% reduction through buffer pooling
License
MIT License - see LICENSE file for details.
Related Projects
- uubed - Main project coordination
- uubed-py - Python implementation
- uubed-docs - Comprehensive documentation
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