ChatGPT | 使用自己Prompt替换LangChain默认Prompt

某些场景会要求ChatGPT重复处理同一个操作,要么在问题里面加入Prompt,要么用自己Prompt替换LangChain默认Prompt。

直接看看前后对比结果

LangChain默认的Prompt

template="Use the following pieces of context to answer the users question. \nIf you don't know the answer, just say that you don't know, don't try to make up an answer.\n----------------\n{context}"

我自己Prompt替换了之后

template="Use the following pieces of context to answer the users question in Chinese.\n If you don't know the answer, just say that you don't know, don't try to make up an answer.\n There are multiple answers, provide each answer in Chinese,specify the source file for each answer.\n \n\n{context}

源代码如下:

python 复制代码
def getMyPrompt():
    '''自定义Prompt模板'''
    prompt_template = """Use the following pieces of context to answer the users question in Chinese.
    If you don't know the answer, just say that you don't know, don't try to make up an answer.
    There are multiple answers, provide each answer in Chinese,specify the source file for each answer.
    \n\n{context}\n\nQuestion: {question}\n\nAnswer in Chinese:"""
    
    MyPrompt = PromptTemplate(
        template=prompt_template, input_variables=["context","question"]#必须有上下文context和问题question
    )
    return MyPrompt

db_RTCS = Chroma(persist_directory="./RCTS/", embedding_function=embeddings)
print('----------------')
chain_type_kwargs = {"prompt": getMyPrompt()}#用自己的Prompt替换掉langchain默认的Prompt
qa_RTCS = RetrievalQA.from_chain_type(llm=openAiLLm,chain_type="stuff",
                                      retriever=db_RTCS.as_retriever(),
                                      chain_type_kwargs=chain_type_kwargs)

print(qa_RTCS)#查看自定义Prompt的结构体内容
相关推荐
UIUV4 小时前
RAG技术学习笔记(含实操解析)
javascript·langchain·llm
神秘的猪头9 小时前
🚀 拒绝“一本正经胡说八道”!手把手带你用 LangChain 实现 RAG,打造你的专属 AI 知识库
langchain·llm·openai
栀秋66610 小时前
重塑 AI 交互边界:基于 LangChain 与 MCP 协议的全栈实践
langchain·llm·mcp
大模型真好玩11 小时前
LangChain DeepAgents 速通指南(三)—— 让Agent告别混乱:Tool Selector与Todo List中间件解析
人工智能·langchain·trae
是一碗螺丝粉1 天前
LangChain 链(Chains)完全指南:从线性流程到智能路由
前端·langchain·aigc
前端付豪1 天前
LangChain记忆:通过Memory记住上次的对话细节
人工智能·python·langchain
神秘的猪头1 天前
🔌 给 AI 装上“三头六臂”!实战大模型接入第三方 MCP 全攻略
langchain·llm·mcp
前端付豪2 天前
LangChain链 写一篇完美推文?用SequencialChain链接不同的组件
人工智能·python·langchain
神秘的猪头2 天前
🔌 把 MCP 装进大脑!手把手带你构建能“热插拔”工具的 AI Agent
langchain·llm·mcp
是一碗螺丝粉3 天前
5分钟上手LangChain.js:用DeepSeek给你的App加上AI能力
前端·人工智能·langchain