> ## 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.

# VoyageAI

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

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

    ```python theme={null}
    import chromadb.utils.embedding_functions as embedding_functions
    voyageai_ef  = embedding_functions.VoyageAIEmbeddingFunction(api_key="YOUR_API_KEY",  model_name="voyage-3-large")
    voyageai_ef(input=["document1","document2"])
    ```
  </Tab>

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

    import { VoyageAIEmbeddingFunction } from "@chroma-core/voyageai";

    const embedder = new VoyageAIEmbeddingFunction({
        apiKey: "apiKey",
        modelName: "model_name",
    });

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

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

### Multilingual model example

<CodeGroup>
  ```python Python theme={null}
  voyageai_ef  = embedding_functions.VoyageAIEmbeddingFunction(
      api_key="YOUR_API_KEY",
      model_name="voyage-3-large"
  )

  multilingual_texts  = [
      'Hello from VoyageAI!', 'مرحباً من VoyageAI!!',
      'Hallo von VoyageAI!', 'Bonjour de VoyageAI!',
      '¡Hola desde VoyageAI!', 'Olá do VoyageAI!',
      'Ciao da VoyageAI!', '您好，来自 VoyageAI！',
      'कोहिअर से VoyageAI!'
  ]

  voyageai_ef(input=multilingual_texts)

  ```

  ```typescript TypeScript theme={null}
  import { VoyageAIEmbeddingFunction } from "chromadb";

  const embedder = new VoyageAIEmbeddingFunction("apiKey", "voyage-3-large");

  multilingual_texts = [
      "Hello from VoyageAI!",
      "مرحباً من VoyageAI!!",
      "Hallo von VoyageAI!",
      "Bonjour de VoyageAI!",
      "¡Hola desde VoyageAI!",
      "Olá do VoyageAI!",
      "Ciao da VoyageAI!",
      "您好，来自 VoyageAI！",
      "कोहिअर से VoyageAI!",
  ];

  const embeddings = embedder.generate(multilingual_texts);
  ```
</CodeGroup>

For further details on VoyageAI's models check the [documentation](https://docs.voyageai.com/docs/introduction) and the [blogs](https://blog.voyageai.com/).