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VectorSearch

Struct VectorSearch 

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#[non_exhaustive]
pub struct VectorSearch { pub search_field: String, pub filter: Option<Struct>, pub top_k: Option<i32>, pub output_fields: Option<OutputFields>, pub search_hint: Option<SearchHint>, pub distance_metric: DistanceMetric, pub vector_type: Option<VectorType>, /* private fields */ }
Expand description

Defines a search operation using a query vector.

Fields (Non-exhaustive)§

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
§search_field: String

Required. The vector field to search.

§filter: Option<Struct>

Optional. A JSON filter expression, e.g. {“genre”: {“$eq”: “sci-fi”}}, represented as a google.protobuf.Struct.

§top_k: Option<i32>

Optional. The number of nearest neighbors to return.

§output_fields: Option<OutputFields>

Optional. Mask specifying which fields to return.

§search_hint: Option<SearchHint>

Optional. Sets the search hint. If no strategy is specified, the service will use an index if one is available, and fall back to the default KNN search otherwise.

§distance_metric: DistanceMetric

Optional. The distance metric to use for the KNN search. If not specified, DOT_PRODUCT will be used as the default.

§vector_type: Option<VectorType>

Implementations§

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impl VectorSearch

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pub fn new() -> Self

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pub fn set_search_field<T: Into<String>>(self, v: T) -> Self

Sets the value of search_field.

§Example
let x = VectorSearch::new().set_search_field("example");
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pub fn set_filter<T>(self, v: T) -> Self
where T: Into<Struct>,

Sets the value of filter.

§Example
use wkt::Struct;
let x = VectorSearch::new().set_filter(Struct::default()/* use setters */);
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pub fn set_or_clear_filter<T>(self, v: Option<T>) -> Self
where T: Into<Struct>,

Sets or clears the value of filter.

§Example
use wkt::Struct;
let x = VectorSearch::new().set_or_clear_filter(Some(Struct::default()/* use setters */));
let x = VectorSearch::new().set_or_clear_filter(None::<Struct>);
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pub fn set_top_k<T>(self, v: T) -> Self
where T: Into<i32>,

Sets the value of top_k.

§Example
let x = VectorSearch::new().set_top_k(42);
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pub fn set_or_clear_top_k<T>(self, v: Option<T>) -> Self
where T: Into<i32>,

Sets or clears the value of top_k.

§Example
let x = VectorSearch::new().set_or_clear_top_k(Some(42));
let x = VectorSearch::new().set_or_clear_top_k(None::<i32>);
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pub fn set_output_fields<T>(self, v: T) -> Self
where T: Into<OutputFields>,

Sets the value of output_fields.

§Example
use google_cloud_vectorsearch_v1::model::OutputFields;
let x = VectorSearch::new().set_output_fields(OutputFields::default()/* use setters */);
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pub fn set_or_clear_output_fields<T>(self, v: Option<T>) -> Self
where T: Into<OutputFields>,

Sets or clears the value of output_fields.

§Example
use google_cloud_vectorsearch_v1::model::OutputFields;
let x = VectorSearch::new().set_or_clear_output_fields(Some(OutputFields::default()/* use setters */));
let x = VectorSearch::new().set_or_clear_output_fields(None::<OutputFields>);
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pub fn set_search_hint<T>(self, v: T) -> Self
where T: Into<SearchHint>,

Sets the value of search_hint.

§Example
use google_cloud_vectorsearch_v1::model::SearchHint;
let x = VectorSearch::new().set_search_hint(SearchHint::default()/* use setters */);
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pub fn set_or_clear_search_hint<T>(self, v: Option<T>) -> Self
where T: Into<SearchHint>,

Sets or clears the value of search_hint.

§Example
use google_cloud_vectorsearch_v1::model::SearchHint;
let x = VectorSearch::new().set_or_clear_search_hint(Some(SearchHint::default()/* use setters */));
let x = VectorSearch::new().set_or_clear_search_hint(None::<SearchHint>);
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pub fn set_distance_metric<T: Into<DistanceMetric>>(self, v: T) -> Self

Sets the value of distance_metric.

§Example
use google_cloud_vectorsearch_v1::model::DistanceMetric;
let x0 = VectorSearch::new().set_distance_metric(DistanceMetric::DotProduct);
let x1 = VectorSearch::new().set_distance_metric(DistanceMetric::CosineDistance);
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pub fn set_vector_type<T: Into<Option<VectorType>>>(self, v: T) -> Self

Sets the value of vector_type.

Note that all the setters affecting vector_type are mutually exclusive.

§Example
use google_cloud_vectorsearch_v1::model::DenseVector;
let x = VectorSearch::new().set_vector_type(Some(
    google_cloud_vectorsearch_v1::model::vector_search::VectorType::Vector(DenseVector::default().into())));
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pub fn vector(&self) -> Option<&Box<DenseVector>>

The value of vector_type if it holds a Vector, None if the field is not set or holds a different branch.

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pub fn set_vector<T: Into<Box<DenseVector>>>(self, v: T) -> Self

Sets the value of vector_type to hold a Vector.

Note that all the setters affecting vector_type are mutually exclusive.

§Example
use google_cloud_vectorsearch_v1::model::DenseVector;
let x = VectorSearch::new().set_vector(DenseVector::default()/* use setters */);
assert!(x.vector().is_some());
assert!(x.sparse_vector().is_none());
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pub fn sparse_vector(&self) -> Option<&Box<SparseVector>>

The value of vector_type if it holds a SparseVector, None if the field is not set or holds a different branch.

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pub fn set_sparse_vector<T: Into<Box<SparseVector>>>(self, v: T) -> Self

Sets the value of vector_type to hold a SparseVector.

Note that all the setters affecting vector_type are mutually exclusive.

§Example
use google_cloud_vectorsearch_v1::model::SparseVector;
let x = VectorSearch::new().set_sparse_vector(SparseVector::default()/* use setters */);
assert!(x.sparse_vector().is_some());
assert!(x.vector().is_none());

Trait Implementations§

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impl Clone for VectorSearch

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fn clone(&self) -> VectorSearch

Returns a duplicate of the value. Read more
1.0.0 · Source§

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

Performs copy-assignment from source. Read more
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impl Debug for VectorSearch

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

Formats the value using the given formatter. Read more
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impl Default for VectorSearch

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fn default() -> VectorSearch

Returns the “default value” for a type. Read more
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impl Message for VectorSearch

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fn typename() -> &'static str

The typename of this message.
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impl PartialEq for VectorSearch

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

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

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

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Gets the TypeId of self. Read more
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where T: ?Sized,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
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where T: Policy<B, E>, P: Policy<B, E>,

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where T: Policy<B, E>, P: Policy<B, E>,

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type Output = T

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