OCI GenAI 向量模型

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

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

EmbeddingResponse embeddingResponse = embeddingModel.call(
    new EmbeddingRequest(List.of("Hello World", "World is big and salvation is near"),
        OCIEmbeddingOptions.builder()
            .model("my-other-embedding-model")
            .build()
));

spring.ai.oci.genai.embedding.model=<你的模型>
spring.ai.oci.genai.embedding.compartment=<你的模型隔间>

@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-oci-genai-openai</artifactId>
</dependency>

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

final String EMBEDDING_MODEL = "cohere.embed-english-light-v2.0";
final String CONFIG_FILE = Paths.get(System.getProperty("user.home"), ".oci", "config").toString();
final String PROFILE = "DEFAULT";
final String REGION = "us-chicago-1";
final String COMPARTMENT_ID = System.getenv("OCI_COMPARTMENT_ID");

var authProvider = new ConfigFileAuthenticationDetailsProvider(
        this.CONFIG_FILE, this.PROFILE);
var aiClient = GenerativeAiInferenceClient.builder()
    .region(Region.valueOf(this.REGION))
    .build(this.authProvider);
var options = OCIEmbeddingOptions.builder()
    .model(this.EMBEDDING_MODEL)
    .compartment(this.COMPARTMENT_ID)
    .servingMode("on-demand")
    .build();
var embeddingModel = new OCIEmbeddingModel(this.aiClient, this.options);
List<Double> embedding = this.embeddingModel.embed(new Document("How many provinces are in Canada?"));