Spring Boot Docking Deep Search Interface Implements Knowledge Question and Answer Function

Spring Boot docking depth search interface realizes knowledge Q&A function

1. Overview

This article will introduce in detail how to use the Spring Boot DeepSeek interface to implement the knowledge question and answer function. In-depth search is a powerful natural language processing platform that provides a variety of API interfaces, including knowledge question and answer, text classification, sentiment analysis, etc. Through the docking depth search interface, we can easily implement intelligent Q&A functions in Spring Boot projects.

2. Environmental preparation

Java version:Java 8 or higher
Spring Boot Version:or later
In-depth search API Key:Register to search for your account in depth and get API Key

3. Project construction

1. Create a Spring Boot project

Use Spring Initializr to create a Spring Boot project, select the following dependencies:

Spring Web
Spring Boot Starter JSON

2. Configuration Depth Exploration API Key

existConfigure in-depth search API Key in the file:

=your_api_key

4. Code implementation

1. Create an in-depth search client

Create a deep search client class for encapsulation and deep search API interaction:

import ;
import ;
import ;
@Component
public class DeepSeekClient {
    @Value("${}")
    private String apiKey;
    private final RestTemplate restTemplate;
    public DeepSeekClient(RestTemplate restTemplate) {
         = restTemplate;
    }
    public String askQuestion(String question) {
        String url = "/v1/ask?api_key=" + apiKey + "&question=" + question;
        return (url, );
    }
}

2. Create a controller

Create a controller class that handles user requests and calls the Deep Search client:

import ;
import ;
import ;
import ;
@RestController
public class QuestionController {
    @Autowired
    private DeepSeekClient deepSeekClient;
    @GetMapping("/ask")
    public String askQuestion(@RequestParam String question) {
        return (question);
    }
}

3. Configure RestTemplate

Configure RestTemplate Bean in the Spring Boot application startup class:

import ;
import ;
import ;
import ;
@SpringBootApplication
public class Application {
    public static void main(String[] args) {
        (, args);
    }
    @Bean
    public RestTemplate restTemplate() {
        return new RestTemplate();
    }
}

5. Test integration

1. Start the Spring Boot project

Run Spring Boot project and accesshttp://localhost:8080/ask?question=Your question, you can test the knowledge Q&A function.

6. Code examples

Here is a complete Spring Boot project code example:

1.

<dependencies>
    <dependency>
        <groupId></groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <dependency>
        <groupId></groupId>
        <artifactId>spring-boot-starter-json</artifactId>
    </dependency>
</dependencies>

2.

=your_api_key

3.

import ;
import ;
import ;
@Component
public class DeepSeekClient {
    @Value("${}")
    private String apiKey;
    private final RestTemplate restTemplate;
    public DeepSeekClient(RestTemplate restTemplate) {
         = restTemplate;
    }
    public String askQuestion(String question) {
        String url = "/v1/ask?api_key=" + apiKey + "&question=" + question;
        return (url, );
    }
}

4.

import ;
import ;
import ;
import ;
@RestController
public class QuestionController {
    @Autowired
    private DeepSeekClient deepSeekClient;
    @GetMapping("/ask")
    public String askQuestion(@RequestParam String question) {
        return (question);
    }
}

5.

import ;
import ;
import ;
import ;
@SpringBootApplication
public class Application {
    public static void main(String[] args) {
        (, args);
    }
    @Bean
    public RestTemplate restTemplate() {
        return new RestTemplate();
    }
}

7. Summary

This article introduces in detail how to use the Spring Boot docking depth search interface to implement the knowledge question and answer function. By integrating the in-depth search API, we can easily implement smart Q&A in Spring Boot projects.

Next step:

Explore more features of the in-depth search API, such as text classification, sentiment analysis, etc. Apply the knowledge question and answer function to actual projects to solve practical problems.

Hope this article helps you!

8. Extended reading

In-depth search API documentation
Spring Boot Official Documentation

9. Frequently Asked Questions

1. How to obtain the deep search API Key?

After registering in-depth search of your account and logging in, you can find the API Key on the Personal Center page.

This is the article about the implementation of the knowledge Q&A function of Spring Boot docking deep search interface. For more related Spring Boot deep search interface content, please search for my previous articles or continue browsing the related articles below. I hope everyone will support me in the future!