!function(){function t(t){document.documentElement.setAttribute("data-theme",t)}var e=function(){var t=null;try{t=new URLSearchParams(window.location.search).get("docusaurus-theme")}catch(t){}return t}()||function(){var t=null;try{t=localStorage.getItem("theme")}catch(t){}return t}();t(null!==e?e:"light")}(),document.documentElement.setAttribute("data-announcement-bar-initially-dismissed",function(){try{return"true"===localStorage.getItem("docusaurus.announcement.dismiss")}catch(t){}return!1}())

[Skip to main content](#__docusaurus_skipToContent_fallback)

You are viewing the **preview** v0.2 docs. View the **stable** v0.1 docs [here](/v0.1/docs/get_started/introduction/). Leave feedback on the v0.2 docs [here](https://github.com/langchain-ai/langchainjs/discussions/5386).

[

![🦜️🔗 Langchain](/v0.2/img/brand/wordmark.png)![🦜️🔗 Langchain](/v0.2/img/brand/wordmark-dark.png)

](/v0.2/)[Integrations](/v0.2/docs/integrations/platforms/)[API Reference](https://v02.api.js.langchain.com)

[More](#)

*   [People](/v0.2/docs/people/)
*   [Community](/v0.2/docs/community)
*   [Tutorials](/v0.2/docs/additional_resources/tutorials)
*   [Contributing](/v0.2/docs/contributing)

[v0.2](#)

*   [v0.2](/v0.2/docs/introduction)
*   [v0.1](https://js.langchain.com/v0.1/docs/get_started/introduction)

[🦜🔗](#)

*   [LangSmith](https://smith.langchain.com)
*   [LangSmith Docs](https://docs.smith.langchain.com)
*   [LangChain Hub](https://smith.langchain.com/hub)
*   [LangServe](https://github.com/langchain-ai/langserve)
*   [Python Docs](https://python.langchain.com/)

[Chat](https://chatjs.langchain.com)[](https://github.com/langchain-ai/langchainjs)

Search

*   [Providers](/v0.2/docs/integrations/platforms/)
    
    *   [Providers](/v0.2/docs/integrations/platforms/)
    *   [Anthropic](/v0.2/docs/integrations/platforms/anthropic)
    *   [AWS](/v0.2/docs/integrations/platforms/aws)
    *   [Google](/v0.2/docs/integrations/platforms/google)
    *   [Microsoft](/v0.2/docs/integrations/platforms/microsoft)
    *   [OpenAI](/v0.2/docs/integrations/platforms/openai)
*   [Components](/v0.2/docs/integrations/components)
    
    *   [Chat models](/v0.2/docs/integrations/chat/)
        
    *   [LLMs](/v0.2/docs/integrations/llms/)
        
    *   [Embedding models](/v0.2/docs/integrations/text_embedding)
        
    *   [Document loaders](/v0.2/docs/integrations/document_loaders)
        
    *   [Document transformers](/v0.2/docs/integrations/document_transformers)
        
    *   [Vector stores](/v0.2/docs/integrations/vectorstores)
        
    *   [Retrievers](/v0.2/docs/integrations/retrievers)
        
    *   [Tools](/v0.2/docs/integrations/tools)
        
        *   [ChatGPT Plugins](/v0.2/docs/integrations/tools/aiplugin-tool)
        *   [Connery Action Tool](/v0.2/docs/integrations/tools/connery)
        *   [Dall-E Tool](/v0.2/docs/integrations/tools/dalle)
        *   [Discord Tool](/v0.2/docs/integrations/tools/discord)
        *   [DuckDuckGoSearch](/v0.2/docs/integrations/tools/duckduckgo_search)
        *   [Exa Search](/v0.2/docs/integrations/tools/exa_search)
        *   [Gmail Tool](/v0.2/docs/integrations/tools/gmail)
        *   [Google Calendar Tool](/v0.2/docs/integrations/tools/google_calendar)
        *   [Google Places Tool](/v0.2/docs/integrations/tools/google_places)
        *   [Agent with AWS Lambda](/v0.2/docs/integrations/tools/lambda_agent)
        *   [Python interpreter tool](/v0.2/docs/integrations/tools/pyinterpreter)
        *   [SearchApi tool](/v0.2/docs/integrations/tools/searchapi)
        *   [Searxng Search tool](/v0.2/docs/integrations/tools/searxng)
        *   [StackExchange Tool](/v0.2/docs/integrations/tools/stackexchange)
        *   [Tavily Search](/v0.2/docs/integrations/tools/tavily_search)
        *   [Web Browser Tool](/v0.2/docs/integrations/tools/webbrowser)
        *   [Wikipedia tool](/v0.2/docs/integrations/tools/wikipedia)
        *   [WolframAlpha Tool](/v0.2/docs/integrations/tools/wolframalpha)
        *   [Agent with Zapier NLA Integration](/v0.2/docs/integrations/tools/zapier_agent)
    *   [Toolkits](/v0.2/docs/integrations/toolkits)
        
    *   [Stores](/v0.2/docs/integrations/stores/)
        

*   [](/v0.2/)
*   [Components](/v0.2/docs/integrations/components)
*   [Tools](/v0.2/docs/integrations/tools)
*   DuckDuckGoSearch

DuckDuckGoSearch
================

DuckDuckGoSearch offers a privacy-focused search API designed for LLM Agents. It provides seamless integration with a wide range of data sources, prioritizing user privacy and relevant search results.

Setup[​](#setup "Direct link to Setup")
---------------------------------------

Install the `@langchain/community` package, along with the `duck-duck-scrape` dependency:

tip

See [this section for general instructions on installing integration packages](/v0.2/docs/how_to/installation#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install @langchain/community

    yarn add @langchain/community

    pnpm add @langchain/community

*   npm
*   Yarn
*   pnpm

    npm install duck-duck-scrape

    yarn add duck-duck-scrape

    pnpm add duck-duck-scrape

Usage[​](#usage "Direct link to Usage")
---------------------------------------

You can call `.invoke` on `DuckDuckGoSearch` to search for a query:

    import { DuckDuckGoSearch } from "@langchain/community/tools/duckduckgo_search";// Instantiate the DuckDuckGoSearch tool.const tool = new DuckDuckGoSearch({ maxResults: 1 });// Get the results of a query by calling .invoke on the tool.const result = await tool.invoke(  "What is Anthropic's estimated revenue for 2024?");console.log(result);/*[{  "title": "Anthropic forecasts more than $850 mln in annualized revenue rate by ...",  "link": "https://www.reuters.com/technology/anthropic-forecasts-more-than-850-mln-annualized-revenue-rate-by-2024-end-report-2023-12-26/",  "snippet": "Dec 26 (Reuters) - Artificial intelligence startup <b>Anthropic</b> has projected it will generate more than $850 million in annualized <b>revenue</b> by the end of <b>2024</b>, the Information reported on Tuesday ..."}]*/

#### API Reference:

*   [DuckDuckGoSearch](https://v02.api.js.langchain.com/classes/langchain_community_tools_duckduckgo_search.DuckDuckGoSearch.html) from `@langchain/community/tools/duckduckgo_search`

tip

See the LangSmith trace [here](https://smith.langchain.com/public/c352faaf-e617-4779-a943-96f963dc19a5/r)

### With an agent[​](#with-an-agent "Direct link to With an agent")

    import { DuckDuckGoSearch } from "@langchain/community/tools/duckduckgo_search";import { ChatOpenAI } from "@langchain/openai";import type { ChatPromptTemplate } from "@langchain/core/prompts";import { pull } from "langchain/hub";import { AgentExecutor, createOpenAIFunctionsAgent } from "langchain/agents";// Define the tools the agent will have access to.const tools = [new DuckDuckGoSearch({ maxResults: 1 })];// Get the prompt to use - you can modify this!// If you want to see the prompt in full, you can at:// https://smith.langchain.com/hub/hwchase17/openai-functions-agentconst prompt = await pull<ChatPromptTemplate>(  "hwchase17/openai-functions-agent");const llm = new ChatOpenAI({  model: "gpt-4-turbo-preview",  temperature: 0,});const agent = await createOpenAIFunctionsAgent({  llm,  tools,  prompt,});const agentExecutor = new AgentExecutor({  agent,  tools,});const result = await agentExecutor.invoke({  input: "What is Anthropic's estimated revenue for 2024?",});console.log(result);/*{  input: "What is Anthropic's estimated revenue for 2024?",  output: 'Anthropic has projected that it will generate more than $850 million in annualized revenue by the end of 2024. For more details, you can refer to the [Reuters article](https://www.reuters.com/technology/anthropic-forecasts-more-than-850-mln-annualized-revenue-rate-by-2024-end-report-2023-12-26/).'}*/

#### API Reference:

*   [DuckDuckGoSearch](https://v02.api.js.langchain.com/classes/langchain_community_tools_duckduckgo_search.DuckDuckGoSearch.html) from `@langchain/community/tools/duckduckgo_search`
*   [ChatOpenAI](https://v02.api.js.langchain.com/classes/langchain_openai.ChatOpenAI.html) from `@langchain/openai`
*   [ChatPromptTemplate](https://v02.api.js.langchain.com/classes/langchain_core_prompts.ChatPromptTemplate.html) from `@langchain/core/prompts`
*   [pull](https://v02.api.js.langchain.com/functions/langchain_hub.pull.html) from `langchain/hub`
*   [AgentExecutor](https://v02.api.js.langchain.com/classes/langchain_agents.AgentExecutor.html) from `langchain/agents`
*   [createOpenAIFunctionsAgent](https://v02.api.js.langchain.com/functions/langchain_agents.createOpenAIFunctionsAgent.html) from `langchain/agents`

tip

See the LangSmith trace for the Agent example [here](https://smith.langchain.com/public/48f84a32-4fb5-4863-a8cd-324abebfce91/r)

* * *

#### Was this page helpful?

  

#### You can leave detailed feedback [on GitHub](https://github.com/langchain-ai/langchainjs/issues/new?assignees=&labels=03+-+Documentation&projects=&template=documentation.yml&title=DOC%3A+%3CPlease+write+a+comprehensive+title+after+the+%27DOC%3A+%27+prefix%3E).

[

Previous

Discord Tool

](/v0.2/docs/integrations/tools/discord)[

Next

Exa Search

](/v0.2/docs/integrations/tools/exa_search)

Community

*   [Discord](https://discord.gg/cU2adEyC7w)
*   [Twitter](https://twitter.com/LangChainAI)

GitHub

*   [Python](https://github.com/langchain-ai/langchain)
*   [JS/TS](https://github.com/langchain-ai/langchainjs)

More

*   [Homepage](https://langchain.com)
*   [Blog](https://blog.langchain.dev)

Copyright © 2024 LangChain, Inc.