> ## 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.

# Together AI

Chroma provides a wrapper around [Together AI](https://www.together.ai/) embedding models. This embedding function runs remotely against the Together AI servers, and will require an API key and a Together AI account. You can find more information in the [Together AI Embeddings Docs](https://docs.together.ai/docs/embeddings-overview), and [supported models](https://docs.together.ai/docs/serverless-models#embedding-models).

<CodeGroup>
  ```python Python theme={null}
  from chromadb.utils.embedding_functions import TogetherAIEmbeddingFunction

  os.environ["CHROMA_TOGETHER_AI_API_KEY"] = "<INSERT API KEY HERE>"

  ef = TogetherAIEmbeddingFunction(
      model_name="togethercomputer/m2-bert-80M-32k-retrieval",
  )
  ef(input=["This is my first text to embed", "This is my second document"])
  ```

  ```typescript TypeScript theme={null}
  // npm install @chroma-core/together-ai

  import { TogetherAIEmbeddingFunction } from '@chroma-core/together-ai';

  process.env.TOGETHER_AI_API_KEY = "<INSERT API KEY HERE>"

  const embedder = new TogetherAIEmbeddingFunction({
      model_name: "togethercomputer/m2-bert-80M-32k-retrieval",
  });

  // use directly
  embedder.generate(['This is my first text to embed', 'This is my second document']);
  ```
</CodeGroup>

You must pass in a `model_name` to the embedding function. It is recommended to set the `CHROMA_TOGETHER_AI_API_KEY` environment variable for the API key, but the embedding function also optionally takes in an `api_key` parameter directly.