Struct VectorParams 

pub struct VectorParams {
    pub algorithm: VectorAlgorithm,
    pub dim: usize,
    pub distance_metric: DistanceMetric,
    pub hnsw_m: Option<usize>,
    pub hnsw_ef_construction: Option<usize>,
}

Parameters for RediSearch vector fields.

Fields

algorithm: VectorAlgorithm

The algorithm to use (HNSW or FLAT)

dim: usize

Vector dimensionality (must match your embeddings)

distance_metric: DistanceMetric

Distance metric for similarity calculation

hnsw_m: Option<usize>

HNSW M parameter: number of outgoing edges per node (default 16)

hnsw_ef_construction: Option<usize>

HNSW EF_CONSTRUCTION: search depth during index building (default 200)

Implementations

impl VectorParams

pub fn hnsw(dim: usize, distance_metric: DistanceMetric) -> Self

Create HNSW vector params with sensible defaults. M=16, EF_CONSTRUCTION=200 are RediSearch defaults.

pub fn flat(dim: usize, distance_metric: DistanceMetric) -> Self

Create FLAT vector params.

pub fn with_m(self, m: usize) -> Self

Set HNSW M parameter (number of edges per node). Higher = better recall, more memory. Typical: 12-48.

pub fn with_ef_construction(self, ef: usize) -> Self

Set HNSW EF_CONSTRUCTION parameter (build-time search depth). Higher = better index quality, slower build. Typical: 100-500.

Trait Implementations

impl Clone for VectorParams

fn clone(&self) -> VectorParams

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for VectorParams

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for VectorParams

fn eq(&self, other: &VectorParams) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for VectorParams