langchain/docs/modules/indexes/vectorstores/examples/zilliz.ipynb

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   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "# Zilliz\n",
    "\n",
    "This notebook shows how to use functionality related to the Zilliz Cloud managed vector database.\n",
    "\n",
    "To run, you should have a Zilliz Cloud instance up and running: https://zilliz.com/cloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aac9563e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.embeddings.openai import OpenAIEmbeddings\n",
    "from langchain.text_splitter import CharacterTextSplitter\n",
    "from langchain.vectorstores import Milvus\n",
    "from langchain.document_loaders import TextLoader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "19a71422",
   "metadata": {},
   "outputs": [],
   "source": [
    "# replace \n",
    "ZILLIZ_CLOUD_HOSTNAME = \"\" # example: \"in01-17f69c292d4a50a.aws-us-west-2.vectordb.zillizcloud.com\"\n",
    "ZILLIZ_CLOUD_PORT = \"\" #example: \"19532\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a3c3999a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.document_loaders import TextLoader\n",
    "loader = TextLoader('../../../state_of_the_union.txt')\n",
    "documents = loader.load()\n",
    "text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\n",
    "docs = text_splitter.split_documents(documents)\n",
    "\n",
    "embeddings = OpenAIEmbeddings()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dcf88bdf",
   "metadata": {},
   "outputs": [],
   "source": [
    "vector_db = Milvus.from_documents(\n",
    "    docs,\n",
    "    embeddings,\n",
    "    connection_args={\"host\": ZILLIZ_CLOUD_HOSTNAME, \"port\": ZILLIZ_CLOUD_PORT},\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a8c513ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "docs = vector_db.similarity_search(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc516993",
   "metadata": {},
   "outputs": [],
   "source": [
    "docs[0]"
   ]
  }
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