Class: OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore
- Inherits:
-
Internal::Type::BaseModel
- Object
- Internal::Type::BaseModel
- OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore
- Defined in:
- lib/openai/models/beta/assistant_create_params.rb
Defined Under Namespace
Modules: ChunkingStrategy
Instance Attribute Summary collapse
-
#chunking_strategy ⇒ OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, ...
The chunking strategy used to chunk the file(s).
-
#file_ids ⇒ Array<String>?
A list of [file](platform.openai.com/docs/api-reference/files) IDs to add to the vector store.
-
#metadata ⇒ Hash{Symbol=>String}?
Set of 16 key-value pairs that can be attached to an object.
Instance Method Summary collapse
-
#initialize(chunking_strategy: nil, file_ids: nil, metadata: nil) ⇒ Object
constructor
Some parameter documentations has been truncated, see VectorStore for more details.
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, 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(chunking_strategy: nil, file_ids: nil, metadata: nil) ⇒ Object
Some parameter documentations has been truncated, see OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore for more details.
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# File 'lib/openai/models/beta/assistant_create_params.rb', line 240 class VectorStore < OpenAI::Internal::Type::BaseModel # @!attribute chunking_strategy # The chunking strategy used to chunk the file(s). If not set, will use the `auto` # strategy. # # @return [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static, nil] optional :chunking_strategy, union: -> { OpenAI::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy } # @!attribute file_ids # A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to # add to the vector store. There can be a maximum of 10000 files in a vector # store. # # @return [Array<String>, nil] optional :file_ids, OpenAI::Internal::Type::ArrayOf[String] # @!attribute metadata # Set of 16 key-value pairs that can be attached to an object. This can be useful # for storing additional information about the object in a structured format, and # querying for objects via API or the dashboard. # # Keys are strings with a maximum length of 64 characters. Values are strings with # a maximum length of 512 characters. # # @return [Hash{Symbol=>String}, nil] optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true # @!method initialize(chunking_strategy: nil, file_ids: nil, metadata: nil) # Some parameter documentations has been truncated, see # {OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore} # for more details. # # @param chunking_strategy [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static] The chunking strategy used to chunk the file(s). If not set, will use the `auto` # # @param file_ids [Array<String>] A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to ad # # @param metadata [Hash{Symbol=>String}, nil] Set of 16 key-value pairs that can be attached to an object. This can be # The chunking strategy used to chunk the file(s). If not set, will use the `auto` # strategy. # # @see OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore#chunking_strategy module ChunkingStrategy extend OpenAI::Internal::Type::Union discriminator :type # The default strategy. This strategy currently uses a `max_chunk_size_tokens` of `800` and `chunk_overlap_tokens` of `400`. variant :auto, -> { OpenAI::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto } variant :static, -> { OpenAI::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static } class Auto < OpenAI::Internal::Type::BaseModel # @!attribute type # Always `auto`. # # @return [Symbol, :auto] required :type, const: :auto # @!method initialize(type: :auto) # The default strategy. This strategy currently uses a `max_chunk_size_tokens` of # `800` and `chunk_overlap_tokens` of `400`. # # @param type [Symbol, :auto] Always `auto`. end class Static < OpenAI::Internal::Type::BaseModel # @!attribute static # # @return [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static::Static] required :static, -> { OpenAI::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static::Static } # @!attribute type # Always `static`. # # @return [Symbol, :static] required :type, const: :static # @!method initialize(static:, type: :static) # @param static [OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static::Static] # # @param type [Symbol, :static] Always `static`. # @see OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static#static class Static < OpenAI::Internal::Type::BaseModel # @!attribute chunk_overlap_tokens # The number of tokens that overlap between chunks. The default value is `400`. # # Note that the overlap must not exceed half of `max_chunk_size_tokens`. # # @return [Integer] required :chunk_overlap_tokens, Integer # @!attribute max_chunk_size_tokens # The maximum number of tokens in each chunk. The default value is `800`. The # minimum value is `100` and the maximum value is `4096`. # # @return [Integer] required :max_chunk_size_tokens, Integer # @!method initialize(chunk_overlap_tokens:, max_chunk_size_tokens:) # Some parameter documentations has been truncated, see # {OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static::Static} # for more details. # # @param chunk_overlap_tokens [Integer] The number of tokens that overlap between chunks. The default value is `400`. # # @param max_chunk_size_tokens [Integer] The maximum number of tokens in each chunk. The default value is `800`. The mini end end # @!method self.variants # @return [Array(OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Static)] end end |
Instance Attribute Details
#chunking_strategy ⇒ OpenAI::Models::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy::Auto, ...
The chunking strategy used to chunk the file(s). If not set, will use the ‘auto` strategy.
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# File 'lib/openai/models/beta/assistant_create_params.rb', line 246 optional :chunking_strategy, union: -> { OpenAI::Beta::AssistantCreateParams::ToolResources::FileSearch::VectorStore::ChunkingStrategy } |
#file_ids ⇒ Array<String>?
A list of [file](platform.openai.com/docs/api-reference/files) IDs to add to the vector store. There can be a maximum of 10000 files in a vector store.
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# File 'lib/openai/models/beta/assistant_create_params.rb', line 257 optional :file_ids, OpenAI::Internal::Type::ArrayOf[String] |
#metadata ⇒ Hash{Symbol=>String}?
Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.
Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.
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# File 'lib/openai/models/beta/assistant_create_params.rb', line 268 optional :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true |