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Vector space transformations using orthogonal matrices to distribute variance before quantization.
Distinct from Random Sketching: This is a specific dimensionality-preservation technique for quantization, not a general random number library or sampling method
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TurboVec is a high-performance Rust vector database and quantized search index designed for storing and retrieving high-dimensional embeddings. It functions as a pluggable vector store for large language model orchestration frameworks, providing a memory-efficient alternative to standard in-memory storage. The project distinguishes itself through a high-dimensional vector compressor that utilizes random rotation and data-oblivious scalar quantization to reduce memory footprints. Retrieval is accelerated via SIMD kernels that process distance calculations and search operations for increased th
Uses random orthogonal matrices to distribute variance and improve the accuracy of quantized vector searches.