Table of Contents
Table of Contents
Introduction
Preliminary conditions
Folder structure
Project Settings
Step 1: Initialize the project
Step 2: Install dependencies
Step 3: Create .env file
Search logic writing
Step 1: Implement Google Search
Step 2: Integrate OpenAI
Step 3: Combining Google Search and OpenAI
Application Testing
Conclusion
Home Backend Development Golang How to Create a Web Search Tool Using OpenAI API in Go

How to Create a Web Search Tool Using OpenAI API in Go

Jan 27, 2025 pm 02:02 PM

How to Create a Web Search Tool Using OpenAI API in Go

This tutorial will guide you to build a simple Go language network search tool using the OpenAI API. This application will leverage OpenAI's capabilities to process search queries and integrate Google Search to retrieve relevant results. After completing this tutorial, you will have a full-featured web search tool to enhance your projects.


Table of Contents

  1. Introduction
  2. Preliminary conditions
  3. Folder structure
  4. Project Settings
  5. Search logic writing
  6. Application Testing
  7. Conclusion

Introduction

Web search tools powered by OpenAI provide a smart way to interact with search engines and process results. In this tutorial, we will build a Go application that:

  1. Accept user inquiries.
  2. Retrieve search results using Google Search.
  3. Use OpenAI API to process the results for summarization.

Preliminary conditions

Before you begin, make sure you have installed:

  • Go (version 1.19 or higher).
  • OpenAI API key.
  • Access to the Google Search API or appropriate browser tools.
  • Basic knowledge of Go programming.

Folder structure

Create the following structure for your project:

<code>websearch-go/
|-- main.go
|-- search/
|   |-- search.go
|-- openai/
    |-- openai.go</code>
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Project Settings

Step 1: Initialize the project

Run the following command to initialize the new Go module:

<code>mkdir websearch-go && cd websearch-go
go mod init websearch-go</code>
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Step 2: Install dependencies

We will use the following libraries:

  • github.com/joho/godotenv for environment variables.
  • net/http is used for HTTP requests.
  • encoding/json is used to parse JSON responses.

Install required libraries:

<code>go get github.com/joho/godotenv</code>
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Step 3: Create .env file

Add your OpenAI API key and Google API key to the .env file:

<code>OPENAI_API_KEY=your_openai_api_key
GOOGLE_API_KEY=your_google_api_key
GOOGLE_SEARCH_ENGINE_ID=your_search_engine_id</code>
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Search logic writing

Create a new file search/search.go:

package search

// ... (代码与原文相同) ...
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Step 2: Integrate OpenAI

Create a new file openai/openai.go:

package openai

// ... (代码与原文相同) ...
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Step 3: Combining Google Search and OpenAI

In main.go, combine these two services:

package main

// ... (代码与原文相同) ...
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Application Testing

Run the application using the following command:

<code>go run main.go</code>
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You should see the search results followed by summary output.


Conclusion

In this guide, we created a simple web search tool using Go, the OpenAI API, and Google Search. This combination allows us to intelligently obtain and process search results, making it a powerful tool for a variety of applications. You can extend this functionality by adding a web interface or other features!

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