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	* FEATURE: HyDE-powered semantic search. It relies on the new outlet added on discourse/discourse#23390 to display semantic search results in an unobtrusive way. We'll use a HyDE-backed approach for semantic search, which consists on generating an hypothetical document from a given keywords, which gets transformed into a vector and used in a asymmetric similarity topic search. This PR also reorganizes the internals to have less moving parts, maintaining one hierarchy of DAOish classes for vector-related operations like transformations and querying. Completions and vectors created by HyDE will remain cached on Redis for now, but we could later use Postgres instead. * Missing translation and rate limiting --------- Co-authored-by: Roman Rizzi <rizziromanalejandro@gmail.com>
		
			
				
	
	
		
			44 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			Ruby
		
	
	
	
	
	
			
		
		
	
	
			44 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			Ruby
		
	
	
	
	
	
| # frozen_string_literal: true
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| 
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| require "rails_helper"
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| 
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| describe DiscourseAi::Embeddings::SemanticRelated do
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|   subject(:semantic_related) { described_class.new }
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| 
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|   fab!(:target) { Fabricate(:topic) }
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|   fab!(:normal_topic_1) { Fabricate(:topic) }
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|   fab!(:normal_topic_2) { Fabricate(:topic) }
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|   fab!(:normal_topic_3) { Fabricate(:topic) }
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|   fab!(:unlisted_topic) { Fabricate(:topic, visible: false) }
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|   fab!(:private_topic) { Fabricate(:private_message_topic) }
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|   fab!(:secured_category) { Fabricate(:category, read_restricted: true) }
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|   fab!(:secured_category_topic) { Fabricate(:topic, category: secured_category) }
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|   fab!(:closed_topic) { Fabricate(:topic, closed: true) }
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| 
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|   before { SiteSetting.ai_embeddings_semantic_related_topics_enabled = true }
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| 
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|   describe "#related_topic_ids_for" do
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|     context "when embeddings do not exist" do
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|       let (:topic) do
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|         Fabricate(:topic).tap { described_class.clear_cache_for(target) }
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|       end
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| 
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|       it "queues job only once per 15 minutes" do
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|         results = nil
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| 
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|         expect_enqueued_with(job: :generate_embeddings, args: { topic_id: topic.id }) do
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|           results = semantic_related.related_topic_ids_for(topic)
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|         end
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| 
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|         expect(results).to eq([])
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| 
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|         expect_not_enqueued_with(job: :generate_embeddings, args: { topic_id: topic.id }) do
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|           results = semantic_related.related_topic_ids_for(topic)
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|         end
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| 
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|         expect(results).to eq([])
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|       end
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|     end
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|   end
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| end
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