66 lines
1.4 KiB
Ruby
66 lines
1.4 KiB
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Embeddings
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module VectorRepresentations
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class AllMpnetBaseV2 < Base
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class << self
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def name
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"all-mpnet-base-v2"
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end
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def correctly_configured?
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SiteSetting.ai_embeddings_discourse_service_api_endpoint_srv.present? ||
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SiteSetting.ai_embeddings_discourse_service_api_endpoint.present?
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end
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def dependant_setting_names
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%w[
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ai_embeddings_discourse_service_api_key
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ai_embeddings_discourse_service_api_endpoint_srv
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ai_embeddings_discourse_service_api_endpoint
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]
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end
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end
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def vector_from(text)
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DiscourseAi::Inference::DiscourseClassifier.perform!(
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"#{discourse_embeddings_endpoint}/api/v1/classify",
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self.class.name,
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text,
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SiteSetting.ai_embeddings_discourse_service_api_key,
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)
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end
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def dimensions
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768
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end
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def max_sequence_length
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384
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end
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def id
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1
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end
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def version
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1
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end
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def pg_function
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"<#>"
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end
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def pg_index_type
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"vector_ip_ops"
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end
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def tokenizer
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DiscourseAi::Tokenizer::AllMpnetBaseV2Tokenizer
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end
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end
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end
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end
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end
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