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Ollama是一个用于大数据和机器学习的平台，它可以帮助企业进行数据处理、分析和决策制定。
１、在Spring Boot项目pom.xml中添加Ollama客户端库依赖

<dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-ollama-spring-boot-starter</artifactId>
</dependency>

２、在yaml文件中配置ollama的地址和模型

spring:ai:ollama:base-url: http://127.0.0.1:11434chat:model: qwen:14b

配置文件指定了 Ollama API 地址和端口，同时指定了默认模型qwen:14b
3、 创建Controller，使用OllamaChatClient进行文字生成或者对话

 
import org.springframework.ai.chat.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.ollama.OllamaChatClient;
import org.springframework.ai.ollama.api.OllamaOptions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;@RestController
public class ChatClientController {@Autowired@Qualifier("ollamaChatClient")private OllamaChatClient ollamaChatClient;/*** */@GetMapping("/ollama/chat/v1")public String ollamaChat(@RequestParam String msg) {return this.ollamaChatClient.call(msg);}/*** prompt模板功能*/@GetMapping("/ollama/chat/v2")public Object ollamaChatV2(@RequestParam String msg) {Prompt prompt = new Prompt(msg);ChatResponse chatResponse = ollamaChatClient.call(prompt);return chatResponse;}/*** */@GetMapping("/ollama/chat/v3")public Object ollamaChatV3(@RequestParam String msg) {Prompt prompt = new Prompt(msg,OllamaOptions.create().withModel("qwen:14b").withTemperature(0.4F));ChatResponse chatResponse = ollamaChatClient.call(prompt);return chatResponse.getResult().getOutput().getContent();}
}