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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>
18 lines
428 B
Ruby
18 lines
428 B
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Embeddings
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module HydeGenerators
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class Base
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def self.current_hyde_model
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DiscourseAi::Embeddings::HydeGenerators::Base.descendants.find do |generator_klass|
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generator_klass.new.models.include?(
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SiteSetting.ai_embeddings_semantic_search_hyde_model,
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)
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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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end
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