Class: Turbopuffer::Models::AttributeSchemaConfig::SparseKnn

Inherits:
Internal::Type::BaseModel show all
Defined in:
lib/turbopuffer/models/attribute_schema_config.rb,
sig/turbopuffer/models/attribute_schema_config.rbs

Overview

See Also:

  • Turbopuffer::Models::AttributeSchemaConfig#sparse_knn

Instance Attribute Summary collapse

Instance Method Summary collapse

Methods inherited from Internal::Type::BaseModel

==, #==, #[], coerce, #deconstruct_keys, #deep_to_h, dump, fields, hash, #hash, inherited, inspect, #inspect, known_fields, optional, recursively_to_h, required, #to_h, #to_json, #to_s, to_sorbet_type, #to_yaml

Methods included from Internal::Type::Converter

#coerce, coerce, #dump, dump, #inspect, inspect, meta_info, new_coerce_state, type_info

Methods included from Internal::Util::SorbetRuntimeSupport

#const_missing, #define_sorbet_constant!, #sorbet_constant_defined?, #to_sorbet_type, to_sorbet_type

Constructor Details

#initialize(distance_metric:) ⇒ Object

Whether to create a sparse kNN index for the attribute. Requires the {}f16 type.

Parameters:



# File 'lib/turbopuffer/models/attribute_schema_config.rb', line 142

Instance Attribute Details

#distance_metricSymbol, Turbopuffer::Models::SparseDistanceMetric

A function used to calculate sparse vector similarity.

Parameters:

  • value (Turbopuffer::Models::sparse_distance_metric)

Returns:



140
# File 'lib/turbopuffer/models/attribute_schema_config.rb', line 140

required :distance_metric, enum: -> { Turbopuffer::SparseDistanceMetric }

Instance Method Details

#to_hash{

Returns:

  • ({)


125
# File 'sig/turbopuffer/models/attribute_schema_config.rbs', line 125

def to_hash: -> {