Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1VertexRagStore

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Retrieve from Vertex RAG Store for grounding.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1VertexRagStore

Returns a new instance of GoogleCloudAiplatformV1beta1VertexRagStore.



69218
69219
69220
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 69218

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#rag_corpora ⇒ Array<String>

Optional. Deprecated. Please use rag_resources instead. Corresponds to the JSON property ragCorpora

Returns:

  • (Array<String>) 


69184
69185
69186
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 69184

def rag_corpora
  @rag_corpora
end

#rag_resources ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1VertexRagStoreRagResource>

Optional. The representation of the rag source. It can be used to specify corpus only or ragfiles. Currently only support one corpus or multiple files from one corpus. In the future we may open up multiple corpora support. Corresponds to the JSON property ragResources

Returns:



69191
69192
69193
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 69191

def rag_resources
  @rag_resources
end

#rag_retrieval_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1RagRetrievalConfig

Specifies the context retrieval config. Corresponds to the JSON property ragRetrievalConfig

Returns:



69196
69197
69198
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 69196

def rag_retrieval_config
  @rag_retrieval_config
end

#similarity_top_k ⇒ Fixnum

Optional. Number of top k results to return from the selected corpora. Corresponds to the JSON property similarityTopK

Returns:

  • (Fixnum) 


69201
69202
69203
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 69201

def similarity_top_k
  @similarity_top_k
end

#store_context ⇒ Boolean Also known as: store_context?

Optional. Currently only supported for Gemini Multimodal Live API. In Gemini Multimodal Live API, if store_context bool is specified, Gemini will leverage it to automatically memorize the interactions between the client and Gemini, and retrieve context when needed to augment the response generation for users' ongoing and future interactions. Corresponds to the JSON property storeContext

Returns:

  • (Boolean) 


69210
69211
69212
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 69210

def store_context
  @store_context
end

#vector_distance_threshold ⇒ Float

Optional. Only return results with vector distance smaller than the threshold. Corresponds to the JSON property vectorDistanceThreshold

Returns:

  • (Float) 


69216
69217
69218
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 69216

def vector_distance_threshold
  @vector_distance_threshold
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



69223
69224
69225
69226
69227
69228
69229
69230
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 69223

def update!(**args)
  @rag_corpora = args[:rag_corpora] if args.key?(:rag_corpora)
  @rag_resources = args[:rag_resources] if args.key?(:rag_resources)
  @rag_retrieval_config = args[:rag_retrieval_config] if args.key?(:rag_retrieval_config)
  @similarity_top_k = args[:similarity_top_k] if args.key?(:similarity_top_k)
  @store_context = args[:store_context] if args.key?(:store_context)
  @vector_distance_threshold = args[:vector_distance_threshold] if args.key?(:vector_distance_threshold)
end