Class: OpenAI::Models::Beta::BetaFileSearchTool::RankingOptions::HybridSearch

Inherits:
Internal::Type::BaseModel show all
Defined in:
lib/openai/models/beta/beta_file_search_tool.rb,
sig/openai/models/beta/beta_file_search_tool.rbs

Overview

See Also:

  • OpenAI::Models::Beta::BetaFileSearchTool::RankingOptions#hybrid_search

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 ⇒ Object 



276
 
# File 'sig/openai/models/beta/beta_file_search_tool.rbs', line 276

def initialize: (

Instance Attribute Details

#embedding_weight ⇒ Float

The weight of the embedding in the reciprocal ranking fusion.

Parameters:

  • value (Float)

Returns:

  • (Float) 


389
 
# File 'lib/openai/models/beta/beta_file_search_tool.rb', line 389

required :embedding_weight, Float

#text_weight ⇒ Float

The weight of the text in the reciprocal ranking fusion.

Parameters:

  • value (Float)

Returns:

  • (Float) 


395
 
# File 'lib/openai/models/beta/beta_file_search_tool.rb', line 395

required :text_weight, Float

Instance Method Details

#to_hash ⇒ { embedding_weight: Float, text_weight: Float }

Returns:

  • ({ embedding_weight: Float, text_weight: Float }) 


281
 
# File 'sig/openai/models/beta/beta_file_search_tool.rbs', line 281

def to_hash: -> { embedding_weight: Float, text_weight: Float }