Struct IvfPqIndex 

pub struct IvfPqIndex { /* private fields */ }

IVF-PQ Hybrid Index

Implementations

impl IvfPqIndex

pub fn new(config: IvfPqConfig) -> Self

Create a new IVF-PQ index

pub fn is_trained(&self) -> bool

Check if the index is trained

pub fn dimension(&self) -> Option<usize>

Get the dimension

pub fn stats(&self) -> IvfPqStats

Get statistics about the index

pub fn train(&mut self, vectors: &[Vector]) -> Result<(), String>

Train the index on a set of vectors

This performs:

1. K-means clustering to learn IVF centroids
2. Compute residuals (vectors - their assigned centroid)
3. Train PQ on the residuals

pub fn add(&self, vectors: &[Vector]) -> Result<usize, String>

Add vectors to the trained index

pub fn search( &self, query: &[f32], k: usize, ) -> Result<Vec<IvfPqSearchResult>, String>

Search for nearest neighbors