OpenAI 向量模型

spring.ai.openai.api-key=<您的 OpenAI API 密钥>

# 在 application.yml 中
spring:
  ai:
    openai:
      api-key: ${OPENAI_API_KEY}

# 在您的环境或 .env 文件中
export OPENAI_API_KEY=<您的 OpenAI API 密钥>

// 从安全来源或环境变量中检索 API 密钥
String apiKey = System.getenv("OPENAI_API_KEY");

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-starter-model-openai</artifactId>
</dependency>

dependencies {
    implementation 'org.springframework.ai:spring-ai-starter-model-openai'
}

EmbeddingResponse embeddingResponse = embeddingModel.call(
    new EmbeddingRequest(List.of("Hello World", "World is big and salvation is near"),
        OpenAiEmbeddingOptions.builder()
            .model("Different-Embedding-Model-Deployment-Name")
        .build()));

spring.ai.openai.api-key=您的 API 密钥
spring.ai.openai.embedding.options.model=text-embedding-ada-002

@RestController
public class EmbeddingController {

    private final EmbeddingModel embeddingModel;

    @Autowired
    public EmbeddingController(EmbeddingModel embeddingModel) {
        this.embeddingModel = embeddingModel;
    }

    @GetMapping("/ai/embedding")
    public Map embed(@RequestParam(value = "message", defaultValue = "Tell me a joke") String message) {
        EmbeddingResponse embeddingResponse = this.embeddingModel.embedForResponse(List.of(message));
        return Map.of("embedding", embeddingResponse);
    }
}

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-openai</artifactId>
</dependency>

dependencies {
    implementation 'org.springframework.ai:spring-ai-openai'
}

var openAiApi = OpenAiApi.builder()
                .apiKey(System.getenv("OPENAI_API_KEY"))
                .build();

var embeddingModel = new OpenAiEmbeddingModel(
        this.openAiApi,
        MetadataMode.EMBED,
        OpenAiEmbeddingOptions.builder()
                .model("text-embedding-ada-002")
                .user("user-6")
                .build(),
        RetryUtils.DEFAULT_RETRY_TEMPLATE);

EmbeddingResponse embeddingResponse = this.embeddingModel
        .embedForResponse(List.of("Hello World", "World is big and salvation is near"));