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from langchain_core.prompts import PromptTemplate | |
question_prompt_template = """用提供给你的文档去回答问题,不需要编造或者虚构答案,也不需要回答文档之外的内容。 | |
如果在文档中没有找到相关的答案,那么就直接回答'知识库中没有相关问题解答' | |
请用中文回答。 | |
下边是我给你提供的文档,其中文档格式都是一问一答。问题答案也完全来自所提供的回答: | |
{context} | |
问题: {question} | |
答:""" | |
QUESTION_PROMPT = PromptTemplate( | |
template=question_prompt_template, input_variables=["context", "question"] | |
) | |
combine_prompt_template = """ | |
QUESTION: {question} | |
========= | |
{summaries} | |
========= | |
FINAL ANSWER:""" | |
COMBINE_PROMPT = PromptTemplate( | |
template=combine_prompt_template, input_variables=["summaries", "question"] | |
) | |
EXAMPLE_PROMPT = PromptTemplate( | |
template="Content: {page_content}\nSource: {source}", | |
input_variables=["page_content", "source"], | |
) | |
DEFAULT_REFINE_PROMPT_TMPL = ( | |
"The original question is as follows: {question}\n" | |
"We have provided an existing answer, including sources: {existing_answer}\n" | |
"We have the opportunity to refine the existing answer" | |
"(only if needed) with some more context below.\n" | |
"------------\n" | |
"{context_str}\n" | |
"------------\n" | |
"Given the new context, refine the original answer to better " | |
"answer the question. " | |
"If you do update it, please update the sources as well. " | |
"If the context isn't useful, return the original answer." | |
) | |
DEFAULT_REFINE_PROMPT = PromptTemplate( | |
input_variables=["question", "existing_answer", "context_str"], | |
template=DEFAULT_REFINE_PROMPT_TMPL, | |
) | |
DEFAULT_TEXT_QA_PROMPT_TMPL = ( | |
"""用提供给你的文档去回答问题,不需要编造或者虚构答案,也不需要回答文档之外的内容。 | |
如果在文档中没有找到相关的答案,那么就直接回答'知识库中没有相关问题解答' | |
请用中文回答。 | |
下边是我给你提供的文档,其中文档格式都是一问一答。问题答案也完全来自所提供的回答: | |
--------------------- | |
{context_str} | |
--------------------- | |
问题: {question} | |
答:""" | |
) | |
DEFAULT_TEXT_QA_PROMPT = PromptTemplate( | |
input_variables=["context_str", "question"], template=DEFAULT_TEXT_QA_PROMPT_TMPL | |
) |