Module quantization 

Scalar Quantization (SQ8) for memory-efficient vector storage.

This module implements 8-bit scalar quantization to reduce memory usage by 4x while maintaining >95% recall accuracy.

Benefits

Metric	f32	SQ8
RAM/vector (768d)	3 KB	770 bytes
Cache efficiency	Baseline	~4x better
Recall loss	0%	~0.5-1%

Structs

BinaryQuantizedVector

A binary quantized vector using 1-bit per dimension.

QuantizedVector

A quantized vector using 8-bit scalar quantization.

Enums

StorageMode

Storage mode for vectors.

Functions

cosine_similarity_quantized

Computes approximate cosine similarity between a query (f32) and quantized vector.

cosine_similarity_quantized_simd

SIMD-optimized cosine similarity between f32 query and SQ8 vector.

dot_product_quantized

Computes the approximate dot product between a query vector (f32) and a quantized vector.

dot_product_quantized_simd

SIMD-optimized dot product between f32 query and SQ8 quantized vector.

euclidean_squared_quantized

Computes the approximate squared Euclidean distance between a query (f32) and quantized vector.

euclidean_squared_quantized_simd

SIMD-optimized squared Euclidean distance between f32 query and SQ8 vector.