Qvektor
QVektor is a term used to describe a family of vector representations and associated algorithms designed to manage high-dimensional data efficiently through quantization and structured transforms. In theory, QVektor coordinates involve mapping real-valued vectors to a finite, discrete set of basis vectors, enabling compact storage, fast distance computations, and scalable indexing.
Variants and approach: The concept encompasses various approaches, including end-to-end quantized embeddings, product quantization, and vector
Applications: QVektor-inspired methods are used for approximate nearest-neighbor search in large datasets, visualization of high-dimensional data,
Status: The field features multiple independent implementations and research prototypes rather than a single standard. Users
See also: Vector quantization, Product quantization, Approximate nearest neighbor search, Embeddings, Dimensionality reduction.