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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. 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 for more info. 
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"])
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.