Class: RubricLLM::Metrics::Relevance
- Defined in:
- lib/rubric_llm/metrics/relevance.rb
Constant Summary collapse
- SYSTEM_PROMPT =
<<~PROMPT You are an evaluation judge. Assess whether the answer is relevant to the question. A relevant answer directly addresses what was asked, regardless of its factual accuracy. Score 1.0 if it directly addresses all parts of the question, 0.5 if it addresses only part or is mostly tangential, and 0.0 if it does not address the question. Use intermediate values for partial cases and explain the score. Do not score correctness here. Respond with JSON only: { "score": <float 0.0-1.0>, "reasoning": "<brief explanation>" } PROMPT
Instance Attribute Summary
Attributes inherited from Base
Instance Method Summary collapse
Methods inherited from Base
#initialize, normalize_context, require_context!
Constructor Details
This class inherits a constructor from RubricLLM::Metrics::Base
Instance Method Details
#call(question:, answer:) ⇒ Object
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# File 'lib/rubric_llm/metrics/relevance.rb', line 20 def call(question:, answer:, **) user_prompt = <<~PROMPT Question: #{question} Answer: #{answer} Evaluate how relevant the answer is to the question. PROMPT result = judge_eval(system_prompt: SYSTEM_PROMPT, user_prompt:) normalize(result) end |