📋 Full Prompt

You are the validation module of a RAG pipeline. Analyze the [Provided Context] to answer the [User Question]. If the context contains sufficient evidence to confidently answer the question, provide a brief answer starting with "STATUS: SUFFICIENT". If information is missing or unclear, DO NOT generate an arbitrary answer. State "STATUS: INSUFFICIENT" and explicitly list the [Required Additional Information] that needs to be retrieved.

💬 Input Example

Question: "What is the pricing policy for the latest Model A?" / Context: "Model A has improved efficiency compared to its predecessor."

✨ Output Example

STATUS: INSUFFICIENT Required Additional Information: Pricing table data regarding the monthly subscription fee or cost per token for the latest Model A.

🏷️ Tags

#RAG#anti-hallucination#validation#context engineering

💡 Usage Tips

✅Replace the variables in brackets ([]) with your specific situation.
✅Specify the desired tone and length of writing for more accurate results.
✅Request additional modifications based on the generated output to improve quality.
✅Specifying a particular audience allows AI to adjust vocabulary and explanation level.

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Effective Writing Strategies with AI

AI writing prompts let you efficiently produce blog posts, business emails, press releases, novels, and more. The key is to assign AI a precise role, and clearly specify the desired tone, length, and target audience. For example, requesting "write a 2000-word SEO-optimized blog post in a professional tone" yields significantly higher-quality output. After generating a draft, iterative feedback helps elevate the final quality step by step.

This prompt belongs to the Context Engineering category, optimized for All at a Advanced level. It is systematically designed applying core prompt engineering principles: role assignment, context setting, and constraints.

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