> ## 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.

# Cloudflare Workers AI

Chroma provides a wrapper around Cloudflare Workers AI embedding models. This embedding function runs remotely against the Cloudflare Workers AI servers, and will require an API key and a Cloudflare account. You can find more information in the [Cloudflare Workers AI Docs](https://developers.cloudflare.com/workers-ai/).

You can also optionally use the Cloudflare AI Gateway for a more customized solution by setting a `gateway_id` argument. See the [Cloudflare AI Gateway Docs](https://developers.cloudflare.com/ai-gateway/providers/workersai/) for more info.

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

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

  ef = CloudflareWorkersAIEmbeddingFunction(
      account_id="<INSERT ACCOUNTID HERE>",
      model_name="@cf/baai/bge-m3",
  )
  ef(input=["This is my first text to embed", "This is my second document"])
  ```

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

  import { CloudflareWorkersAIEmbeddingFunction } from '@chroma-core/cloudflare-worker-ai';

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

  const embedder = new CloudflareWorkersAIEmbeddingFunction({
      account_id="<INSERT ACCOUNT ID HERE>",
      model_name="@cf/baai/bge-m3",
  });

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

You must pass in an `account_id` and `model_name` to the embedding function. It is recommended to set the `CHROMA_CLOUDFLARE_API_KEY` for the api key, but the embedding function also optionally takes in an `api_key` variable.