langchain/docs/extras/modules/data_connection/text_embedding/integrations/fake.ipynb

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   "source": [
    "# Fake Embeddings\n",
    "\n",
    "LangChain also provides a fake embedding class. You can use this to test your pipelines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2ffc2e4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.embeddings import FakeEmbeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "80777571",
   "metadata": {},
   "outputs": [],
   "source": [
    "embeddings = FakeEmbeddings(size=1352)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3ec9d8f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_result = embeddings.embed_query(\"foo\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3b9ae9e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "doc_results = embeddings.embed_documents([\"foo\"])"
   ]
  }
 ],
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