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

# frozen_string_literal: true

module DiscourseAi
  module Embeddings
    module VectorRepresentations
      class AllMpnetBaseV2 < Base
        class << self
          def name
            "all-mpnet-base-v2"
          end

          def correctly_configured?
            SiteSetting.ai_embeddings_discourse_service_api_endpoint_srv.present? ||
              SiteSetting.ai_embeddings_discourse_service_api_endpoint.present?
          end

          def dependant_setting_names
            %w[
              ai_embeddings_discourse_service_api_key
              ai_embeddings_discourse_service_api_endpoint_srv
              ai_embeddings_discourse_service_api_endpoint
            ]
          end
        end

        def vector_from(text)
          DiscourseAi::Inference::DiscourseClassifier.perform!(
            "#{discourse_embeddings_endpoint}/api/v1/classify",
            self.class.name,
            text,
            SiteSetting.ai_embeddings_discourse_service_api_key,
          )
        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