如何在Langchain中使用Python进行Duckduckgo搜索

想要创建由 GPT-4o、Claude 3.5 Sonnet、Llama 3.1 405B、Google Gemini Pro 支持的自动化 AI 代理吗？

Sure, here's the translated text in simplified Chinese, keeping the HTML structure: ```html 然后，您绝对不能错过Anakin AI！您可以通过无代码工作流来自动化您的工作流程，实现定制的代理人工智能！ ``` This HTML structure ensures the translated text remains as part of an HTML document, if needed.

现在就在这里查看👇👇

如何在LangChain中使用Python进行DuckDuckGo搜索：设置您的环境

To translate the given English text into simplified Chinese, while keeping the HTML structure intact, you can use the following markup: ```html

为了在LangChain中使用Python有效地利用DuckDuckGo-Search，您首先需要设置好您的环境。您可以通过安装必要的库来完成这一步骤，这些库包括langchain、duckduckgo-search以及可能出现的其他依赖项。以下是您应遵循的步骤来建立您的工作环境。

``` This HTML code will display the translated text in simplified Chinese, maintaining the structure and formatting of the original English text.

第一步：安装所需的库

要开始的话，您必须使用pip安装langchain和duckduckgo-search库。您可以在终端中执行以下命令：

pip install langchain duckduckgo-search

这条命令将会为您获取并安装所需的库。

Certainly! Here's how you can represent "Step 2: Verify Your Installation" in simplified Chinese within an HTML structure: ```html

步骤 2：验证您的安装

``` This HTML snippet includes the translated text "步骤 2：验证您的安装" formatted as a heading level 2 (`

`) in a typical HTML document structure.

一旦您安装了这些库，您可以验证它们是否正确安装。打开 Python Shell 或创建一个新的 Python 脚本，然后运行以下命令：

import langchain
import duckduckgo_search

print(langchain.__version__)
print(duckduckgo_search.__version__)

这些命令应该打印出这两个库的版本号，确保它们已经安装并正确设置好以供使用。

Sure, here's the translated text in simplified Chinese while keeping the HTML structure: ```html 如何在LangChain中使用Python编写DuckDuckGo搜索：基本搜索功能 ```

搭建环境之后，下一步是学习如何在LangChain中使用Python使用DuckDuckGo-Search进行基本搜索查询。

步骤3：导入所需的类和函数

Certainly! Here's the translation of the text into simplified Chinese while maintaining the HTML structure: ```html

你需要从两个库中导入必要的类。以下是如何操作：

``` This HTML snippet presents the translated text within a paragraph (`

`) tag, ensuring it retains the structure for web content.

from langchain import create_chain
from duckduckgo_search import ddg

Certainly! Here's the translation of "Step 4: Define a Simple Search Function" in simplified Chinese, keeping the HTML structure intact: ```html

第四步：定义一个简单的搜索功能

```

Sure, here's how you can structure the HTML while incorporating the translated Chinese text: ```html

Translate Text to Chinese

Now, let’s create a function that utilizes ddg from duckduckgo-search to perform a basic search query. The function will take a user query as input and return the results.

现在，让我们创建一个函数，利用ddg从duckduckgo-search执行基本搜索查询。该函数将接受用户查询作为输入并返回结果。

``` In this example, the English text is kept as-is for clarity and context, while the Chinese translation is provided in a separate section under a heading labeled in both languages. This approach maintains the structure of the HTML document while integrating the translated content seamlessly.

def duckduckgo_search(query):
    results = ddg(query)
    return results

Certainly! Here's how you can write "Step 5: Test the Search Function" in simplified Chinese within an HTML structure: ```html

第五步：测试搜索功能

```

现在您可以通过使用示例查询来测试搜索功能。例如：

if __name__ == "__main__":
    query = "LangChain tutorial"
    results = duckduckgo_search(query)
    
    for result in results:
        print(f"Title: {result['title']}")
        print(f"Link: {result['href']}\n")

Sure, here is the text translated into simplified Chinese while keeping the HTML structure intact: ```html 这段代码将返回根据您指定查询的标题和链接的搜索结果列表。 ``` In this translation: - "这段代码" translates to "This code". - "将返回" translates to "will return". - "根据" translates to "according to" or "based on". - "您指定查询" translates to "your specified query". - "的搜索结果列表" translates to "a list of search results". Make sure to use appropriate HTML tags based on where you plan to integrate this translation into your HTML structure.

如何在LangChain中使用Python进行DuckDuckGo搜索：高级搜索定制

成功实现了基本搜索功能后，你可能想进一步定制搜索查询以获得更好的结果。

步骤6：向您的搜索功能添加参数

Certainly! Here's the translated text in simplified Chinese, keeping the HTML structure: ```html

ddg函数允许使用各种参数，您可以利用这些参数进行更有针对性的搜索。您可以修改您的搜索函数以接受这些参数。以下是函数的更新版本：

``` This HTML structure preserves the formatting and semantic meaning of the translated text in simplified Chinese.

def custom_duckduckgo_search(query, max_results=10, safesearch=True):
    results = ddg(query, max_results=max_results, safesearch=safesearch)
    return results

第7步：在查询中使用自定义参数

要使用此定制搜索功能，您可以执行以下代码：

if __name__ == "__main__":
    query = "LangChain tutorial"
    results = custom_duckduckgo_search(query, max_results=5)
    
    for result in results:
        print(f"Title: {result['title']}")
        print(f"Link: {result['href']}\n")

Sure, here's the HTML structure with the translated text in simplified Chinese: ```html

通过使用此更新后的函数，您将能够控制返回的结果数量，并根据您的偏好调整安全搜索设置。

``` In simplified Chinese: "通过使用此更新后的函数，您将能够控制返回的结果数量，并根据您的偏好调整安全搜索设置。"

Sure, here is the translation of "How to Use DuckDuckGo-Search with Python in LangChain: Integrating with LangChain Pipelines" in simplified Chinese while keeping HTML structure: ```html 如何在LangChain中使用Python与DuckDuckGo搜索：与LangChain流水线集成 ```

LangChain 的强大功能之一是它能够创建链和管道。将DuckDuckGo-Search 的结果整合到这些管道中可以实现更复杂的功能。

步骤8：使用LangChain创建数据管道

您可以创建一个管道，从搜索查询开始，然后处理结果。以下是如何创建一个简单的链条，利用搜索结果：

from langchain.chains import LLMChain

class DuckDuckGoSearchChain(LLMChain):
    def __init__(self):
        super().__init__()

    def run_chain(self, query):
        search_results = duckduckgo_search(query)
        processed = process_results(search_results)  # Create a function to process results here
        return processed

def process_results(results):
    return [{'title': result['title'], 'link': result['href']} for result in results]

第九步：执行搜索链

现在，您可以通过调用run_chain()方法来执行这个链条。以下是一个简单的方法：

if __name__ == "__main__":
    ddg_search_chain = DuckDuckGoSearchChain()
    
    query = "LangChain tutorial"
    processed_results = ddg_search_chain.run_chain(query)
    
    for result in processed_results:
        print(f"Title: {result['title']}")
        print(f"Link: {result['link']}\n")

Sure, here's the translation of the text into simplified Chinese, keeping the HTML structure: ```html 通过利用LangChain的力量，您可以显著扩展您的应用程序，以更结构化的方式处理搜索结果。 ``` In this HTML snippet, the translated text is enclosed within a `` tag to maintain the structure of the HTML document.

如何在LangChain中使用Python进行DuckDuckGo搜索：处理和存储搜索结果

当您开始处理搜索结果时，可能需要有效地处理和存储这些结果。

第十步：存储结果的结构

Sure, here's the translated text in simplified Chinese while keeping the HTML structure: ```html 考虑创建一个数据结构来总结和存储搜索结果。以下是一个使用简单字典存储结果的示例。 ``` This HTML snippet retains the structure while presenting the translated text in simplified Chinese.

import json

def save_results_to_json(results, filename='search_results.json'):
    with open(filename, 'w') as json_file:
        json.dump(results, json_file, indent=4)

if __name__ == "__main__":
    query = "LangChain tutorial"
    results = custom_duckduckgo_search(query, max_results=5)
    
    # Save to JSON
    save_results_to_json(results)

这段代码片段将搜索结果保存到一个JSON文件中，方便存储和检索。

第十一步：加载并阅读存储的结果

要加载存储的结果，您可以实现以下函数：

def load_results_from_json(filename='search_results.json'):
    with open(filename, 'r') as json_file:
        return json.load(json_file)

if __name__ == "__main__":
    results = load_results_from_json()
    
    for result in results:
        print(f"Title: {result['title']}")
        print(f"Link: {result['link']}\n")

Certainly! Here's the translated text in simplified Chinese, keeping the HTML structure intact: ```html

此函数读取存储的结果，并根据您的需求进行操作或分析。

```

Certainly! Here's your text translated into simplified Chinese while keeping the HTML structure intact: ```html 如何在LangChain中使用Python进行DuckDuckGo搜索：真实世界的应用和示例 ``` This translation maintains the original meaning and structure of the English text.

最后，看到在LangChain框架中使用DuckDuckGo搜索在不同任务中的实际应用是至关重要的。

第十二步：开发一个简单的查询机器人

您可以开发一个简单的聊天机器人，从DuckDuckGo获取信息。例如：

def query_bot(query):
    results = custom_duckduckgo_search(query)
    return results

if __name__ == "__main__":
    user_input = input("What would you like to know? ")
    results = query_bot(user_input)
    
    for result in results:
        print(f"Title: {result['title']}")
        print(f"Link: {result['href']}\n")

这个聊天机器人能够动态查询，并且可以作为一个信息检索的有用工具。

第13步：在示例上构建

您可以进一步增强此机器人的功能，如缓存结果、用户偏好和分析先前的查询以获取个性化回复。基于DuckDuckGo-Search和LangChain的开发和增强潜力巨大。

通过以下步骤，您可以在LangChain中使用Python有效地利用duckduckgo-search，使您的应用程序更加稳健、交互和强大。

Sure, here's the translated text in simplified Chinese while keeping the HTML structure intact: ```html 想要创建由GPT-4o、Claude 3.5 Sonnet、Llama 3.1 405B、Google Geimini Pro等驱动的自动化AI代理吗？ ``` This HTML structure maintains the original text and provides the translated version in simplified Chinese.

然后，您不能错过安纳金人工智能！您可以使用无代码工作流来自动化您的工作流程，为您定制的代理人工智能服务！

现在在这里查看👇👇