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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>
63 lines
1.5 KiB
Ruby
63 lines
1.5 KiB
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Embeddings
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module Strategies
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class Truncation
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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 prepare_text_from(target, tokenizer, max_length)
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case target
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when Topic
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topic_truncation(target, tokenizer, max_length)
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when Post
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post_truncation(target, tokenizer, max_length)
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else
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raise ArgumentError, "Invalid target type"
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end
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end
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private
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def topic_information(topic)
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info = +""
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info << topic.title
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info << "\n\n"
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info << topic.category.name
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if SiteSetting.tagging_enabled
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info << "\n\n"
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info << topic.tags.pluck(:name).join(", ")
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end
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info << "\n\n"
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end
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def topic_truncation(topic, tokenizer, max_length)
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text = +topic_information(topic)
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topic.posts.find_each do |post|
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text << post.raw
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break if tokenizer.size(text) >= max_length #maybe keep a partial counter to speed this up?
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text << "\n\n"
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end
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tokenizer.truncate(text, max_length)
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end
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def post_truncation(topic, tokenizer, max_length)
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text = +topic_information(post.topic)
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text << post.raw
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tokenizer.truncate(text, max_length)
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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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