> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trychroma.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Chroma Cloud Qwen

export const Callout = ({title, children}) => <div className="my-6">
    <div className="relative pr-1.5 pb-1.5">
      <div className="absolute top-1.5 left-1.5 right-0 bottom-0 bg-blue-500 dark:bg-blue-600" />
      <div className="relative border border-black dark:border-gray-500 px-5 py-4 bg-white dark:bg-neutral-900">
        {title && <p className="block mb-2"><strong>{title}</strong></p>}
        {children}
      </div>
    </div>
  </div>;

Chroma provides a convenient wrapper around Chroma Cloud's Qwen embedding API. This embedding function runs remotely on Chroma Cloud's servers, and requires a Chroma API key. You can get an API key by signing up for an account at [Chroma Cloud](https://www.trychroma.com/).

<Tabs>
  <Tab title="Python" icon="python">
    This embedding function relies on the `httpx` python package, which you can install with `pip install httpx`.

    ```python theme={null}
    from chromadb.utils.embedding_functions import ChromaCloudQwenEmbeddingFunction, ChromaCloudQwenEmbeddingModel
    import os

    os.environ["CHROMA_API_KEY"] = "YOUR_API_KEY"
    qwen_ef = ChromaCloudQwenEmbeddingFunction(
        model=ChromaCloudQwenEmbeddingModel.QWEN3_EMBEDDING_0p6B,
        task="nl_to_code"
    )

    texts = ["Hello, world!", "How are you?"]
    embeddings = qwen_ef(texts)
    ```

    You must pass in a `model` argument and `task` argument. The `task` parameter specifies the task for which embeddings are being generated. You can optionally provide custom `instructions` for both documents and queries.
  </Tab>

  <Tab title="TypeScript" icon="js">
    ```typescript theme={null}
    // npm install @chroma-core/chroma-cloud-qwen

    import { ChromaCloudQwenEmbeddingFunction, ChromaCloudQwenEmbeddingModel } from "@chroma-core/chroma-cloud-qwen";

    const embedder = new ChromaCloudQwenEmbeddingFunction({
      apiKeyEnvVar: "CHROMA_API_KEY", // Or set CHROMA_API_KEY env var
      model: ChromaCloudQwenEmbeddingModel.QWEN3_EMBEDDING_0p6B,
      task: "nl_to_code",
    });

    // use directly
    const embeddings = await embedder.generate(["document1", "document2"]);

    // pass documents to query for .add and .query
    const collection = await client.createCollection({
      name: "name",
      embeddingFunction: embedder,
    });
    ```
  </Tab>

  <Tab title="HTTP" icon="terminal">
    To use the Chroma Cloud Embedding API directly, see the [Generate Sparse Embeddings API reference](/reference/embeddings-api/generate-sparse-embeddings) for detailed request and response formats.
  </Tab>
</Tabs>