密斯特拉AI嵌入

spring.ai.mistralai.api-key=<your-mistralai-api-key>

# In application.yml
spring:
  ai:
    mistralai:
      api-key: ${MISTRALAI_API_KEY}

# In your environment or .env file
export MISTRALAI_API_KEY=<your-mistralai-api-key>

// Retrieve API key from a secure source or environment variable
String apiKey = System.getenv("MISTRALAI_API_KEY");

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

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

// Using mistral-embed for general text
EmbeddingResponse textEmbeddingResponse = embeddingModel.call(
    new EmbeddingRequest(List.of("Hello World", "World is big and salvation is near"),
        MistralAiEmbeddingOptions.builder()
            .withModel("mistral-embed")
        .build()));

// Using codestral-embed for code
EmbeddingResponse codeEmbeddingResponse = embeddingModel.call(
    new EmbeddingRequest(List.of("public class HelloWorld {}", "def hello_world():"),
        MistralAiEmbeddingOptions.builder()
            .withModel("codestral-embed")
        .build()));

spring.ai.mistralai.api-key=YOUR_API_KEY
spring.ai.mistralai.embedding.options.model=mistral-embed

@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) {
        var embeddingResponse = this.embeddingModel.embedForResponse(List.of(message));
        return Map.of("embedding", embeddingResponse);
    }
}

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

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

var mistralAiApi = new MistralAiApi(System.getenv("MISTRAL_AI_API_KEY"));

var embeddingModel = new MistralAiEmbeddingModel(this.mistralAiApi,
        MistralAiEmbeddingOptions.builder()
                .withModel("mistral-embed")
                .withEncodingFormat("float")
                .build());

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