Preprocessing Guide

Use these guides for cuVS preprocessing APIs that transform, compress, or project vectors before downstream search or analysis.

• Binary Quantizer: compress vectors into binary representations for compact storage and fast comparisons.
• PCA: reduce dimensionality with a linear projection while preserving as much variance as possible.
• Product Quantization: split vectors into subvectors and encode each part with compact codebooks.
• Scalar Quantizer: compress each vector dimension independently with scalar quantization.
• Spectral Embedding: create lower-dimensional embeddings from graph structure.