{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c3852491",
   "metadata": {},
   "source": [
    "# AzureOpenAI\n",
    "\n",
    "Let's load the OpenAI Embedding class with environment variables set to indicate to use Azure endpoints."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b40f827",
   "metadata": {},
   "outputs": [],
   "source": [
    "# set the environment variables needed for openai package to know to reach out to azure\n",
    "import os\n",
    "\n",
    "os.environ[\"OPENAI_API_TYPE\"] = \"azure\"\n",
    "os.environ[\"OPENAI_API_BASE\"] = \"https://<your-endpoint.openai.azure.com/\"\n",
    "os.environ[\"OPENAI_API_KEY\"] = \"your AzureOpenAI key\"\n",
    "os.environ[\"OPENAI_API_VERSION\"] = \"2023-05-15\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb36d16c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.embeddings import OpenAIEmbeddings\n",
    "\n",
    "embeddings = OpenAIEmbeddings(deployment=\"your-embeddings-deployment-name\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "228abcbb",
   "metadata": {},
   "outputs": [],
   "source": [
    "text = \"This is a test document.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "60dd7fad",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_result = embeddings.embed_query(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "83bc1a72",
   "metadata": {},
   "outputs": [],
   "source": [
    "doc_result = embeddings.embed_documents([text])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aaad49f8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  },
  "vscode": {
   "interpreter": {
    "hash": "7377c2ccc78bc62c2683122d48c8cd1fb85a53850a1b1fc29736ed39852c9885"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
