Roman Rizzi
f5cf1019fb
* Use AR model for embeddings features * endpoints * Embeddings CRUD UI * Add presets. Hide a couple more settings * system specs * Seed embedding definition from old settings * Generate search bit index on the fly. cleanup orphaned data * support for seeded models * Fix run test for new embedding * fix selected model not set correctly
20 lines
331 B
Ruby
20 lines
331 B
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Configuration
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class EmbeddingDefsValidator
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def initialize(opts = {})
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@opts = opts
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end
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def valid_value?(val)
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val.blank? || EmbeddingDefinition.exists?(id: val)
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end
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def error_message
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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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