LangChain

Google搜索包装器#

本页面介绍如何在LangChain中使用Serper (opens in a new tab) Google搜索API。Serper是一款低成本的Google搜索API，可用于添加来自Google搜索的答案框、知识图和有机结果数据。它分为两部分：设置和对特定Google Serper包装器的引用。

设置#

前往serper.dev (opens in a new tab)注册一个免费账户
获取API密钥并将其设置为环境变量(SERPER_API_KEY)

包装器#

实用工具#

有一个名为GoogleSerperAPIWrapper的工具可以包装 GoogleSerper API。使用以下代码导入此实用程序：

from langchain.utilities import GoogleSerperAPIWrapper

您可以将其作为Self Ask 链的一部分来使用：

from langchain.utilities import GoogleSerperAPIWrapper
from langchain.llms.openai import OpenAI
from langchain.agents import initialize_agent, Tool
from langchain.agents import AgentType
 
import os
 
os.environ["SERPER_API_KEY"] = ""
os.environ['OPENAI_API_KEY'] = ""
 
llm = OpenAI(temperature=0)
search = GoogleSerperAPIWrapper()
tools = [
    Tool(
        name="Intermediate Answer",
        func=search.run,
        description="useful for when you need to ask with search"
    )
]
 
self_ask_with_search = initialize_agent(tools, llm, agent=AgentType.SELF_ASK_WITH_SEARCH, verbose=True)
self_ask_with_search.run("What is the hometown of the reigning men's U.S. Open champion?")

Output#

Entering new AgentExecutor chain...
 Yes.
Follow up: Who is the reigning men's U.S. Open champion?
Intermediate answer: Current champions Carlos Alcaraz, 2022 men's singles champion.
Follow up: Where is Carlos Alcaraz from?
Intermediate answer: El Palmar, Spain
So the final answer is: El Palmar, Spain
 
> Finished chain.
 
'El Palmar, Spain'

更多关于这个包装器的详细说明，可以参考这个this notebook.

Tool#

您还可以将此包装器作为工具轻松地加载到代理中使用。可以使用以下代码完成此操作：

from langchain.agents import load_tools
tools = load_tools(["google-serper"])

这里查看更多信息。

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