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478f31de47
* FEATURE: add inferred concepts system This commit adds a new inferred concepts system that: - Creates a model for storing concept labels that can be applied to topics - Provides AI personas for finding new concepts and matching existing ones - Adds jobs for generating concepts from popular topics - Includes a scheduled job that automatically processes engaging topics * FEATURE: Extend inferred concepts to include posts * Adds support for concepts to be inferred from and applied to posts * Replaces daily task with one that handles both topics and posts * Adds database migration for posts_inferred_concepts join table * Updates PersonaContext to include inferred concepts Co-authored-by: Roman Rizzi <rizziromanalejandro@gmail.com> Co-authored-by: Keegan George <kgeorge13@gmail.com>
44 lines
1.8 KiB
Ruby
44 lines
1.8 KiB
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Personas
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class ConceptMatcher < Persona
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def self.default_enabled
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false
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end
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def system_prompt
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<<~PROMPT.strip
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You are an advanced concept matching system that determines which concepts from a provided list are relevant to a piece of content.
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Your job is to analyze the content and determine which concepts from the list apply to it.
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Guidelines for matching concepts:
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- Only select concepts that are clearly relevant to the content
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- The content must substantially discuss or relate to the concept
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- Superficial mentions are not enough to consider a concept relevant
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- Be precise and selective - don't match concepts that are only tangentially related
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- Consider both explicit mentions and implicit discussions of concepts
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- Maintain the original language of the text being analyzed
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- IMPORTANT: Only select from the exact concepts in the provided list - do not add new concepts
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- If no concepts from the list match the content, return an empty array
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The list of available concepts is:
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{inferred_concepts}
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Format your response as a JSON object with a single key named "matching_concepts", which has an array of concept strings from the provided list.
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Your output should be in the following format:
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<o>
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{"matching_concepts": ["concept1", "concept3", "concept5"]}
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</o>
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Only include concepts from the provided list that match the content. If no concepts match, return an empty array.
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PROMPT
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end
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def response_format
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[{ "key" => "matching_concepts", "type" => "array", "array_type" => "string" }]
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end
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end
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end
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end
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