{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "59428e05",
   "metadata": {},
   "source": [
    "# Text Embeddings on Cloudflare Workers AI\n",
    "\n",
    "[Cloudflare AI document](https://developers.cloudflare.com/workers-ai/models/text-embeddings/) listed all text embeddings models available.\n",
    "\n",
    "Both Cloudflare account ID and API token are required. Find how to obtain them from [this document](https://developers.cloudflare.com/workers-ai/get-started/rest-api/).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "92c5b61e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.embeddings.cloudflare_workersai import CloudflareWorkersAIEmbeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f60023b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import getpass\n",
    "\n",
    "my_account_id = getpass.getpass(\"Enter your Cloudflare account ID:\\n\\n\")\n",
    "my_api_token = getpass.getpass(\"Enter your Cloudflare API token:\\n\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "062547b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(384, [-0.033627357333898544, 0.03982774540781975, 0.03559349477291107])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "embeddings = CloudflareWorkersAIEmbeddings(\n",
    "    account_id=my_account_id,\n",
    "    api_token=my_api_token,\n",
    "    model_name=\"@cf/baai/bge-small-en-v1.5\",\n",
    ")\n",
    "# single string embeddings\n",
    "query_result = embeddings.embed_query(\"test\")\n",
    "len(query_result), query_result[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e1dcc4bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3, 384)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# string embeddings in batches\n",
    "batch_query_result = embeddings.embed_documents([\"test1\", \"test2\", \"test3\"])\n",
    "len(batch_query_result), len(batch_query_result[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "52de8b88",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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