discourse-ai/lib/embeddings/vector_representations/all_mpnet_base_v2.rb

51 lines
913 B
Ruby

# frozen_string_literal: true
module DiscourseAi
module Embeddings
module VectorRepresentations
class AllMpnetBaseV2 < Base
def vector_from(text)
DiscourseAi::Inference::DiscourseClassifier.perform!(
"#{discourse_embeddings_endpoint}/api/v1/classify",
name,
text,
SiteSetting.ai_embeddings_discourse_service_api_key,
)
end
def name
"all-mpnet-base-v2"
end
def dimensions
768
end
def max_sequence_length
384
end
def id
1
end
def version
1
end
def pg_function
"<#>"
end
def pg_index_type
"vector_ip_ops"
end
def tokenizer
DiscourseAi::Tokenizer::AllMpnetBaseV2Tokenizer
end
end
end
end
end