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

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  {
   "cell_type": "markdown",
   "id": "42f76e43",
   "metadata": {},
   "source": [
    "# Cohere\n",
    "\n",
    "Let's load the Cohere Embedding class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6b82f59f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.embeddings import CohereEmbeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "26895c60",
   "metadata": {},
   "outputs": [],
   "source": [
    "embeddings = CohereEmbeddings(cohere_api_key=cohere_api_key)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "eea52814",
   "metadata": {},
   "outputs": [],
   "source": [
    "text = \"This is a test document.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fbe167bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_result = embeddings.embed_query(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "38ad3b20",
   "metadata": {},
   "outputs": [],
   "source": [
    "doc_result = embeddings.embed_documents([text])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aaad49f8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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