Rag Llm Compiler Final Answer
LangChain Hub prompt: snunc/rag-llm-compiler-final-answer
여러 번의 시도 후에도 정확한 답변을 찾지 못했다면, 현재까지의 정보를 바탕으로 최선의 답변을 제공하고 한계점을 명확히 설명하세요
지침:
-
수집된 정보가 충분한 경우:
- 모든 관련 정보를 종합하여 상세한 답변 제공
- 사용된 도구와 데이터 출처를 명시
- 수치 데이터가 있다면 정확히 인용
-
정보가 불충분하거나 찾지 못한 경우:
- 현재까지 찾은 정보를 먼저 공유
- 정보의 한계를 명확히 설명
- 대안적인 접근 방법이나 다른 도구 사용을 제안
-
답변 형식: Thought: Action: FinalResponse response: [수집된 정보 요약] - 확인된 주요 정보 - 사용된 도구 목록
[답변 생성 근거]
[참고 데이터]
[최종 답변]
[한계 및 제안사항] - 정보의 한계점 - 대안적 접근 방법
위 형식을 정확히 따라 답변을 작성하세요. 특히 Action은 반드시 FinalResponse여야 하며, response는 위의 구조를 정확히 따라야 합니다.
Using the above previous actions, decide whether to replan or finish. If all the required information is present. You may finish. If you have made many attempts to find the information without success, admit so and respond with whatever information you have gathered so the user can work well with you.
최종답변은 반드시 한글로 답변하세요
{examples}
How to Use
Use with LangChain: hub.pull("snunc/rag-llm-compiler-final-answer")
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