Morph ↗

    import chromadb.utils.embedding_functions as embedding_functions
    morph_ef = embedding_functions.MorphEmbeddingFunction(
        api_key="YOUR_API_KEY",  # or set MORPH_API_KEY environment variable
        model_name="morph-embedding-v2"
    )
    morph_ef(input=["def calculate_sum(a, b):\n    return a + b", "class User:\n    def __init__(self, name):\n        self.name = name"])
    ```
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  <span class="tab-start" data-tab-title="TypeScript"></span>
```typescript
    // npm install @chroma-core/morph

    import { MorphEmbeddingFunction } from "@chroma-core/morph";

    const embedder = new MorphEmbeddingFunction({
        api_key: "apiKey", // or set MORPH_API_KEY environment variable
        model_name: "morph-embedding-v2",
    });

    // use directly
    const embeddings = embedder.generate([
        "function calculate(a, b) { return a + b; }",
        "class User { constructor(name) { this.name = name; } }",
    ]);

    // pass documents to the .add and .query methods
    const collection = await client.createCollection({
        name: "name",
        embeddingFunction: embedder,
    });
    const collectionGet = await client.getCollection({
        name: "name",
        embeddingFunction: embedder,
    });
    ```
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For further details on Morph's models check the [documentation](https://docs.morphllm.com/api-reference/endpoint/embedding?utm_source=docs.trychroma.com).