Interface StructuredQuery.FindNearestOrBuilder (3.28.0)

public static interface StructuredQuery.FindNearestOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getDistanceMeasure()

public abstract StructuredQuery.FindNearest.DistanceMeasure getDistanceMeasure()

Required. The distance measure to use, required.

.google.firestore.v1.StructuredQuery.FindNearest.DistanceMeasure distance_measure = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`StructuredQuery.FindNearest.DistanceMeasure`	The distanceMeasure.

getDistanceMeasureValue()

public abstract int getDistanceMeasureValue()

Required. The distance measure to use, required.

.google.firestore.v1.StructuredQuery.FindNearest.DistanceMeasure distance_measure = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`int`	The enum numeric value on the wire for distanceMeasure.

getDistanceResultField()

public abstract String getDistanceResultField()

Optional. Optional name of the field to output the result of the vector distance calculation. Must conform to document field name limitations.

string distance_result_field = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`String`	The distanceResultField.

getDistanceResultFieldBytes()

public abstract ByteString getDistanceResultFieldBytes()

Optional. Optional name of the field to output the result of the vector distance calculation. Must conform to document field name limitations.

string distance_result_field = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`ByteString`	The bytes for distanceResultField.

getDistanceThreshold()

public abstract DoubleValue getDistanceThreshold()

Optional. Option to specify a threshold for which no less similar documents will be returned. The behavior of the specified distance_measure will affect the meaning of the distance threshold. Since DOT_PRODUCT distances increase when the vectors are more similar, the comparison is inverted.

For EUCLIDEAN, COSINE: WHERE distance <= distance_threshold For DOT_PRODUCT: WHERE distance >= distance_threshold

.google.protobuf.DoubleValue distance_threshold = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`DoubleValue`	The distanceThreshold.

getDistanceThresholdOrBuilder()

public abstract DoubleValueOrBuilder getDistanceThresholdOrBuilder()

For EUCLIDEAN, COSINE: WHERE distance <= distance_threshold For DOT_PRODUCT: WHERE distance >= distance_threshold

.google.protobuf.DoubleValue distance_threshold = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`DoubleValueOrBuilder`

getLimit()

public abstract Int32Value getLimit()

Required. The number of nearest neighbors to return. Must be a positive integer of no more than 1000.

.google.protobuf.Int32Value limit = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`Int32Value`	The limit.

getLimitOrBuilder()

public abstract Int32ValueOrBuilder getLimitOrBuilder()

Required. The number of nearest neighbors to return. Must be a positive integer of no more than 1000.

.google.protobuf.Int32Value limit = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`Int32ValueOrBuilder`

getQueryVector()

public abstract Value getQueryVector()

Required. The query vector that we are searching on. Must be a vector of no more than 2048 dimensions.

.google.firestore.v1.Value query_vector = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`Value`	The queryVector.

getQueryVectorOrBuilder()

public abstract ValueOrBuilder getQueryVectorOrBuilder()

Required. The query vector that we are searching on. Must be a vector of no more than 2048 dimensions.

.google.firestore.v1.Value query_vector = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`ValueOrBuilder`

getVectorField()

public abstract StructuredQuery.FieldReference getVectorField()

Required. An indexed vector field to search upon. Only documents which contain vectors whose dimensionality match the query_vector can be returned.

.google.firestore.v1.StructuredQuery.FieldReference vector_field = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`StructuredQuery.FieldReference`	The vectorField.

getVectorFieldOrBuilder()

public abstract StructuredQuery.FieldReferenceOrBuilder getVectorFieldOrBuilder()

Required. An indexed vector field to search upon. Only documents which contain vectors whose dimensionality match the query_vector can be returned.

.google.firestore.v1.StructuredQuery.FieldReference vector_field = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`StructuredQuery.FieldReferenceOrBuilder`

hasDistanceThreshold()

public abstract boolean hasDistanceThreshold()

For EUCLIDEAN, COSINE: WHERE distance <= distance_threshold For DOT_PRODUCT: WHERE distance >= distance_threshold

.google.protobuf.DoubleValue distance_threshold = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
`boolean`	Whether the distanceThreshold field is set.

hasLimit()

public abstract boolean hasLimit()

Required. The number of nearest neighbors to return. Must be a positive integer of no more than 1000.

.google.protobuf.Int32Value limit = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`boolean`	Whether the limit field is set.

hasQueryVector()

public abstract boolean hasQueryVector()

Required. The query vector that we are searching on. Must be a vector of no more than 2048 dimensions.

.google.firestore.v1.Value query_vector = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`boolean`	Whether the queryVector field is set.

hasVectorField()

public abstract boolean hasVectorField()

Required. An indexed vector field to search upon. Only documents which contain vectors whose dimensionality match the query_vector can be returned.

.google.firestore.v1.StructuredQuery.FieldReference vector_field = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
`boolean`	Whether the vectorField field is set.