Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1Fact

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb

Overview

The fact used in grounding.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1Fact

Returns a new instance of GoogleCloudAiplatformV1Fact.



14439
14440
14441
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14439

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

Instance Attribute Details

#chunk ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1RagChunk

A RagChunk includes the content of a chunk of a RagFile, and associated metadata. Corresponds to the JSON property chunk

Returns:



14401
14402
14403
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14401

def chunk
  @chunk
end

#query ⇒ String

Query that is used to retrieve this fact. Corresponds to the JSON property query

Returns:

  • (String) 


14406
14407
14408
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14406

def query
  @query
end

#score ⇒ Float

If present, according to the underlying Vector DB and the selected metric type, the score can be either the distance or the similarity between the query and the fact and its range depends on the metric type. For example, if the metric type is COSINE_DISTANCE, it represents the distance between the query and the fact. The larger the distance, the less relevant the fact is to the query. The range is [0, 2], while 0 means the most relevant and 2 means the least relevant. Corresponds to the JSON property score

Returns:

  • (Float) 


14417
14418
14419
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14417

def score
  @score
end

#summary ⇒ String

If present, the summary/snippet of the fact. Corresponds to the JSON property summary

Returns:

  • (String) 


14422
14423
14424
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14422

def summary
  @summary
end

#title ⇒ String

If present, it refers to the title of this fact. Corresponds to the JSON property title

Returns:

  • (String) 


14427
14428
14429
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14427

def title
  @title
end

#uri ⇒ String

If present, this uri links to the source of the fact. Corresponds to the JSON property uri

Returns:

  • (String) 


14432
14433
14434
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14432

def uri
  @uri
end

#vector_distance ⇒ Float

If present, the distance between the query vector and this fact vector. Corresponds to the JSON property vectorDistance

Returns:

  • (Float) 


14437
14438
14439
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14437

def vector_distance
  @vector_distance
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



14444
14445
14446
14447
14448
14449
14450
14451
14452
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 14444

def update!(**args)
  @chunk = args[:chunk] if args.key?(:chunk)
  @query = args[:query] if args.key?(:query)
  @score = args[:score] if args.key?(:score)
  @summary = args[:summary] if args.key?(:summary)
  @title = args[:title] if args.key?(:title)
  @uri = args[:uri] if args.key?(:uri)
  @vector_distance = args[:vector_distance] if args.key?(:vector_distance)
end