Struct VectorQuery 

pub struct VectorQuery {
    pub alias: Option<String>,
    pub collection: String,
    pub query_vector: VectorSource,
    pub k: usize,
    pub filter: Option<MetadataFilter>,
    pub metric: Option<DistanceMetric>,
    pub include_vectors: bool,
    pub include_metadata: bool,
    pub threshold: Option<f32>,
}

Vector similarity search query

VECTOR SEARCH embeddings
SIMILAR TO [0.1, 0.2, ..., 0.5]
WHERE metadata.source = 'nmap'
LIMIT 10

Fields

alias: Option<String>

Optional outer alias when used as a join source

collection: String

Collection name to search

query_vector: VectorSource

Query vector (or reference to get vector from)

k: usize

Number of results to return

filter: Option<MetadataFilter>

Metadata filter

metric: Option<DistanceMetric>

Distance metric to use (defaults to collection’s metric)

include_vectors: bool

Include vectors in results

include_metadata: bool

Include metadata in results

threshold: Option<f32>

Minimum similarity threshold (optional)

Implementations

impl VectorQuery

pub fn new(collection: &str, query: VectorSource) -> VectorQuery

Create a new vector query

pub fn limit(self, k: usize) -> VectorQuery

Set the number of results

pub fn with_filter(self, filter: MetadataFilter) -> VectorQuery

Set metadata filter

pub fn with_vectors(self) -> VectorQuery

Include vectors in results

pub fn min_similarity(self, threshold: f32) -> VectorQuery

Set similarity threshold

pub fn alias(self, alias: &str) -> VectorQuery

Set outer alias

Trait Implementations

impl Clone for VectorQuery

fn clone(&self) -> VectorQuery

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for VectorQuery

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

Formats the value using the given formatter.