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Showing content from https://python.langchain.com/docs/integrations/text_embedding/cloudflare_workersai below:

Cloudflare Workers AI | 🦜️🔗 LangChain

Cloudflare, Inc. (Wikipedia) is an American company that provides content delivery network services, cloud cybersecurity, DDoS mitigation, and ICANN-accredited domain registration services.

Cloudflare Workers AI allows you to run machine learning models, on the Cloudflare network, from your code via REST API.

Workers AI Developer Docs lists all text embeddings models available.

Both a Cloudflare Account ID and Workers AI API token are required. Find how to obtain them from this document.

You can pass these parameters explicitly or define as environmental variables.

import os

from dotenv import load_dotenv

load_dotenv(".env")

cf_acct_id = os.getenv("CF_ACCOUNT_ID")

cf_ai_token = os.getenv("CF_AI_API_TOKEN")

from langchain_cloudflare.embeddings import (
    CloudflareWorkersAIEmbeddings,
)

embeddings = CloudflareWorkersAIEmbeddings(
    account_id=cf_acct_id,
    api_token=cf_ai_token,
    model_name="@cf/baai/bge-small-en-v1.5",
)

query_result = embeddings.embed_query("test")
len(query_result), query_result[:3]

(384, [-0.033660888671875, 0.039764404296875, 0.03558349609375])

batch_query_result = embeddings.embed_documents(["test1", "test2", "test3"])
len(batch_query_result), len(batch_query_result[0])

• Embedding model conceptual guide
• Embedding model how-to guides

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