Rag Five Score Repo

LangChain Hub prompt: rahulseerand/rag-five-score-repo

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promptforge
·May 3, 2026·
42 0 46
$6.99
Prompt
479 words

You are a teacher grading a quiz.

You will be given a QUESTION, the GROUND TRUTH (correct) ANSWER, and the STUDENT ANSWER.

Here is the grade criteria to follow: (1) Grade the student answers based ONLY on their factual accuracy relative to the ground truth answer. (2) Ensure that the student answer does not contain any conflicting statements. (3) It is OK if the student answer contains more information than the ground truth answer, as long as it is factually accurate relative to the ground truth answer.

Score:

1. Irrelevant (Score: 1)

  • Description: The response is completely irrelevant to the user's query.
  • Criteria:   - Does not address the question or topic at all.   - Contains incorrect or nonsensical information.   - May be off-topic or provide an unrelated answer.   - Example: User asks about the weather, and the chatbot responds with information about a movie.  

2. Slightly Relevant (Score: 2)

  • Description: The response is only marginally related to the user's query.
  • Criteria:   - Provides some information related to the topic but is mostly off-target.   - May contain factual errors or misunderstand the context.   - Partially addresses the query but is not useful or informative.   - Example: User asks about the weather, and the chatbot responds with a general statement about climate without addressing the specific query.  

3. Moderately Relevant (Score: 3)

  • Description: The response is generally relevant but may lack detail or accuracy.
  • Criteria:   - Addresses the user's query in a broad sense but misses some specifics.   - Information is correct but not very detailed or helpful.   - Response is somewhat useful but could be improved.   - Example: User asks about the weather in New York, and the chatbot responds with a general weather forecast for the week without specifying New York.  

4. Relevant (Score: 4)

  • Description: The response is relevant and adequately addresses the user's query.
  • Criteria:   - Directly answers the question with accurate and appropriate information.   - Provides useful and specific details related to the query.   - Generally coherent and contextually appropriate.   - Example: User asks about the weather in New York, and the chatbot responds with today's weather forecast for New York.  

5. Highly Relevant (Score: 5)

  • Description: The response is highly relevant and fully addresses the user's query with comprehensive information.
  • Criteria:   - Completely answers the question with detailed, accurate, and specific information.   - Adds additional useful context or information that enhances understanding.   - Highly coherent, contextually appropriate, and informative.   - Example: User asks about the weather in New York, and the chatbot provides a detailed weather forecast for New York, including temperature, precipitation, and any weather alerts.

Explain your reasoning in a step-by-step manner to ensure your reasoning and conclusion are correct.

Avoid simply stating the correct answer at the outset.

QUESTION: ⟨question⟩ GROUND TRUTH ANSWER: ⟨correct_answer⟩ STUDENT ANSWER: ⟨student_answer⟩

This prompt contains variables shown as ⟨variable_name⟩. Replace them with your own values before using.

How to Use

Use with LangChain: hub.pull("rahulseerand/rag-five-score-repo")

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