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Azure OpenAI

note

This is the documentation for the Azure OpenAI integration, that uses the Azure SDK from Microsoft, and works best if you are using the Microsoft Java stack, including advanced Azure authentication mechanisms.

LangChain4j provides 4 different integrations with OpenAI for using embedding models, and this is #3 :

  • OpenAI uses a custom Java implementation of the OpenAI REST API, that works best with Quarkus (as it uses the Quarkus REST client) and Spring (as it uses Spring's RestClient).
  • OpenAI Official SDK uses the official OpenAI Java SDK.
  • Azure OpenAI uses the Azure SDK from Microsoft, and works best if you are using the Microsoft Java stack, including advanced Azure authentication mechanisms.
  • GitHub Models uses the Azure AI Inference API to access GitHub Models.

Azure OpenAI provides a few embedding models (text-embedding-3-small, text-embedding-ada-002, etc.) that can be used to transforms text or images into a dimensional vector space.

Maven Dependency​

Plain Java​

<dependency>
    <groupId>dev.langchain4j</groupId>
    <artifactId>langchain4j-azure-open-ai</artifactId>
    <version>1.0.0-beta3</version>
</dependency>

Spring Boot​

<dependency>
    <groupId>dev.langchain4j</groupId>
    <artifactId>langchain4j-azure-open-ai-spring-boot-starter</artifactId>
    <version>1.0.0-beta3</version>
</dependency>

Creating AzureOpenAiEmbeddingModel​

Plain Java​

EmbeddingModel model = AzureOpenAiEmbeddingModel.builder()
        .apiKey(System.getenv("AZURE_OPENAI_KEY"))
        .deploymentName("text-embedding-3-small")
        .endpoint("https://langchain4j.openai.azure.com/")
        ...
        .build();

Spring Boot​

Add to the application.properties:

langchain4j.azure-open-ai.embedding-model.endpoint=https://langchain4j.openai.azure.com/
langchain4j.azure-open-ai.embedding-model.service-version=...
langchain4j.azure-open-ai.embedding-model.api-key=${AZURE_OPENAI_KEY}
langchain4j.azure-open-ai.embedding-model.deployment-name=text-embedding-3-small
langchain4j.azure-open-ai.embedding-model.timeout=...
langchain4j.azure-open-ai.embedding-model.max-retries=...
langchain4j.azure-open-ai.embedding-model.log-requests-and-responses=...
langchain4j.azure-open-ai.embedding-model.user-agent-suffix=...
langchain4j.azure-open-ai.embedding-model.dimensions=...
langchain4j.azure-open-ai.embedding-model.customHeaders=...

Examples​