# frozen_string_literal: true module DiscourseAi module Embeddings module VectorRepresentations class TextEmbeddingAda002 < Base class << self def name "text-embedding-ada-002" end def correctly_configured? SiteSetting.ai_openai_api_key.present? end def dependant_setting_names %w[ai_openai_api_key] end end def id 2 end def version 1 end def dimensions 1536 end def max_sequence_length 8191 end def pg_function "<=>" end def pg_index_type "vector_cosine_ops" end def vector_from(text, asymetric: false) response = DiscourseAi::Inference::OpenAiEmbeddings.perform!(text, model: self.class.name) response[:data].first[:embedding] end def tokenizer DiscourseAi::Tokenizer::OpenAiTokenizer end end end end end