Struct ProductQuantizer 

pub struct ProductQuantizer { /* private fields */ }

Trained Product Quantizer

Implementations

impl ProductQuantizer

pub fn train( vectors: &[Vec<f32>], config: PQConfig, ) -> Result<Self, DiskAnnError>

Train a product quantizer on a set of vectors

pub fn encode(&self, vector: &[f32]) -> Vec<u8>

Encode a vector into PQ codes (M bytes)

pub fn encode_batch(&self, vectors: &[Vec<f32>]) -> Vec<Vec<u8>>

Batch encode vectors (parallel)

pub fn asymmetric_distance(&self, query: &[f32], codes: &[u8]) -> f32

Compute asymmetric distance between query and quantized vector This uses precomputed distance tables for efficiency

pub fn create_distance_table(&self, query: &[f32]) -> Vec<f32>

Create a distance lookup table for a query (for fast batch queries)

Returns: [num_subspaces][num_centroids] distance table

pub fn distance_with_table(&self, table: &[f32], codes: &[u8]) -> f32

Compute distance using precomputed table (very fast)

pub fn decode(&self, codes: &[u8]) -> Vec<f32>

Decode PQ codes back to approximate vector

pub fn save(&self, path: &str) -> Result<(), DiskAnnError>

Save quantizer to file

pub fn load(path: &str) -> Result<Self, DiskAnnError>

Load quantizer from file

pub fn stats(&self) -> PQStats

Get stats about the quantizer

Trait Implementations

impl Clone for ProductQuantizer

fn clone(&self) -> ProductQuantizer

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<'de> Deserialize<'de> for ProductQuantizer

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for ProductQuantizer

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.