text: Skip to main contentğŸ¦œï¸�ğŸ”— LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsApifyArXiv API ToolawslambdaShell ToolBing SearchBrave SearchChatGPT PluginsDataForSeo API WrapperDuckDuckGo SearchFile System ToolsGolden QueryGoogle PlacesGoogle SearchGoogle Serper APIGradio ToolsGraphQL toolhuggingface_toolsHuman as a toolIFTTT WebHooksLemon AI NLP Workflow AutomationMetaphor SearchOpenWeatherMap APIPubMed ToolRequestsSceneXplainSearch ToolsSearxNG Search APISerpAPITwilioWikipediaWolfram AlphaYouTubeSearchToolZapier Natural Language Actions APIVector storesGrouped by providerIntegrationsToolsArXiv API ToolOn this pageArXiv API ToolThis notebook goes over how to use the arxiv component. First, you need to install arxiv python package.pip install arxivfrom langchain.chat_models import ChatOpenAIfrom langchain.agents import load_tools, initialize_agent, AgentTypellm = ChatOpenAI(temperature=0.0)tools = load_tools(    ["arxiv"],)agent_chain = initialize_agent(    tools,    llm,    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,    verbose=True,)agent_chain.run(    "What's the paper 1605.08386 about?",)            > Entering new AgentExecutor chain...    I need to use Arxiv to search for the paper.    Action: Arxiv    Action Input: "1605.08386"    Observation: Published: 2016-05-26