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
_itgo5 小时前
LangGraph 主要3 种核心模式
ai·langchain·langgraph
ddshub_cc9 小时前
2026 AI API 定价对比:GPT-5.6 vs Claude Fable 5 vs Opus 5,哪款模型最划算?
人工智能·gpt·ai·chatgpt
我是大卫11 小时前
【图】一图理解LLM、LangChain、RAG、AI Agent、MCP、token、context、prompt、tool概念
langchain·llm·agent
phltxy11 小时前
LangChain v1 Agent核心能力详解
大数据·人工智能·langchain
▍ 小太阳 ☼12 小时前
如何让Codex读svn项目
svn·chatgpt
YUS云生12 小时前
大模型学习·第40天:LangChain框架入门——从RAG原理到模型调用的统一接口
学习·langchain
阿沐沐,14 小时前
Codex CLI 沙箱与审批配置:从 workspace-write 扩展可写目录和命令网络权限
gpt·ai·chatgpt·ai编程
BraveWang15 小时前
【LangChain 1.x】14、补充|Runtime 运行时与上下文工程
langchain
meilindehuzi_a16 小时前
Node.js + LangChain.js + Milvus 实战:从 EPUB 入库到《天龙八部》RAG 问答系统
javascript·langchain·node.js
硬核子牙16 小时前
不要小瞧y=wx+b
人工智能·chatgpt·程序员