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2c0f535bab
* 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>
72 lines
2.5 KiB
Ruby
72 lines
2.5 KiB
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Embeddings
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class EntryPoint
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def load_files
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require_relative "vector_representations/base"
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require_relative "vector_representations/all_mpnet_base_v2"
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require_relative "vector_representations/text_embedding_ada_002"
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require_relative "vector_representations/multilingual_e5_large"
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require_relative "strategies/truncation"
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require_relative "jobs/regular/generate_embeddings"
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require_relative "semantic_related"
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require_relative "semantic_topic_query"
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require_relative "hyde_generators/base"
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require_relative "hyde_generators/openai"
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require_relative "hyde_generators/anthropic"
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require_relative "hyde_generators/llama2"
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require_relative "hyde_generators/llama2_ftos"
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require_relative "semantic_search"
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end
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def inject_into(plugin)
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# Include random topics in the suggested list *only* if there are no related topics.
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plugin.register_modifier(
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:topic_view_suggested_topics_options,
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) do |suggested_options, topic_view|
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related_topics = topic_view.related_topics
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include_random = related_topics.nil? || related_topics.length == 0
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suggested_options.merge(include_random: include_random)
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end
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# Query and serialize related topics.
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plugin.add_to_class(:topic_view, :related_topics) do
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if topic.private_message? || !SiteSetting.ai_embeddings_semantic_related_topics_enabled
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return nil
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end
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@related_topics ||=
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SemanticTopicQuery.new(@user).list_semantic_related_topics(topic).topics
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end
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%i[topic_view TopicViewPosts].each do |serializer|
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plugin.add_to_serializer(
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serializer,
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:related_topics,
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include_condition: -> { SiteSetting.ai_embeddings_semantic_related_topics_enabled },
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) do
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if object.next_page.nil? && !object.topic.private_message?
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object.related_topics.map do |t|
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SuggestedTopicSerializer.new(t, scope: scope, root: false)
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end
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end
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end
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end
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# embeddings generation.
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callback =
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Proc.new do |topic|
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if SiteSetting.ai_embeddings_enabled
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Jobs.enqueue(:generate_embeddings, topic_id: topic.id)
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end
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end
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plugin.on(:topic_created, &callback)
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plugin.on(:topic_edited, &callback)
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end
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end
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end
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end
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