hellow-langChain / project /prompt /answer_by_private_prompt.py
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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
)