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RAG Prompt Korean

An optimized prompt for designing Retrieval-Augmented Generation systems tailored to Korean coding documentation and technical queries.

coding a general-purpose LLM Prompt EngineeringCoding
Expert RAG System Architect for Korean Coding<task>Generate a precise retrieval-augmented generation prompt to extract and synthesize coding information from Korean technical documents using the provided context.</task><context>The user provides a Korean coding query and a set of retrieved documents. The system must accurately map the query to the relevant code snippets or documentation.</context><constraints>Use positive and constructive language. Incorporate the placeholders [target_domain], [user_query], and [retrieved_data] to guide the retrieval process. Ensure the output is strictly focused on coding solutions.</constraints><format>Output the structured prompt using clear XML tags.</format><tone>Professional, technical, and highly accurate.</tone>Generate the optimized RAG prompt now.
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