langchain/docs/extras/integrations/text_embedding/nlp_cloud.ipynb

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   "source": [
    "# NLP Cloud\n",
    "\n",
    ">[NLP Cloud](https://docs.nlpcloud.com/#introduction) is an artificial intelligence platform that allows you to use the most advanced AI engines, and even train your own engines with your own data. \n",
    "\n",
    "The [embeddings](https://docs.nlpcloud.com/#embeddings) endpoint offers the following model:\n",
    "\n",
    "* `paraphrase-multilingual-mpnet-base-v2`: Paraphrase Multilingual MPNet Base V2 is a very fast model based on Sentence Transformers that is perfectly suited for embeddings extraction in more than 50 languages (see the full list here)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "490d7923",
   "metadata": {},
   "outputs": [],
   "source": [
    "! pip install nlpcloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6a39ed4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.embeddings import NLPCloudEmbeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c105d8cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "os.environ[\"NLPCLOUD_API_KEY\"] = \"xxx\"\n",
    "nlpcloud_embd = NLPCloudEmbeddings()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cca84023",
   "metadata": {},
   "outputs": [],
   "source": [
    "text = \"This is a test document.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "26868d0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_result = nlpcloud_embd.embed_query(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0c171c2f",
   "metadata": {},
   "outputs": [],
   "source": [
    "doc_result = nlpcloud_embd.embed_documents([text])"
   ]
  }
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