langchain4j--langchain4j/docs/docs/integrations/embedding-models/dashscope.md

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DashScope

DashScope is a platform developed by Alibaba Cloud. It provides an interface for model visualization, monitoring, and debugging, particularly when working with AI/ML models in production environments. The platform allows users to visualize performance metrics, track model behavior, and identify potential issues early on in the deployment cycle.

Qwen models are a series of generative AI models developed by Alibaba Cloud. The Qwen family of models are specifically designed for tasks like text generation, summarization, question answering, and various NLP tasks.

You can refer to DashScope Document for more details. LangChain4j integrates with DashScope by Using DashScope Java SDK

Maven Dependency

:::note Since 1.0.0-alpha1, langchain4j-dashscope has migrated to langchain4j-community and is renamed to langchain4j-community-dashscope. :::

Before 1.0.0-alpha1:

<dependency>
    <groupId>dev.langchain4j</groupId>
    <artifactId>langchain4j-dashscope</artifactId>
    <version>${previous version here}</version>
</dependency>

1.0.0-alpha1 and later:

<dependency>
    <groupId>dev.langchain4j</groupId>
    <artifactId>langchain4j-community-dashscope</artifactId>
    <version>${latest version here}</version>
</dependency>

Or, you can use BOM to manage dependencies consistently:

<dependencyManagement>
    <dependency>
        <groupId>dev.langchain4j</groupId>
        <artifactId>langchain4j-community-bom</artifactId>
        <version>${latest version here}</version>
        <type>pom</type>
        <scope>import</scope>
    </dependency>
</dependencyManagement>

Configurable Parameters

QwenEmbeddingModel has following parameters to configure when you initialize it:

Property	Description	Default Value
baseUrl	The URL to connect to. You can use HTTP or websocket to connect to DashScope	https://dashscope.aliyuncs.com/api/v1/services/embeddings/text-embedding/text-embedding
apiKey	The API Key
modelName	The model to use.	text-embedding-v2

Examples

• QwenEmbeddingModelIT