Merge pull request #1455 from jinhonglin-ryan/master

fix badges

bootcamp/tutorials/integration/quickstart_mem0_with_milvus.ipynb

@@ -8,7 +8,7 @@
     "id": "7dc17cfc3c127df5"
    },
    "source": [
-    "<a href=\"https://colab.research.google.com/github/milvus-io/bootcamp/blob/master/bootcamp/tutorials/quickstart/build_RAG_with_milvus.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>   <a href=\"https://github.com/jinhonglin-ryan/bootcamp/blob/master/bootcamp/tutorials/integration/quickstart_mem0_with_milvus.ipynb\" target=\"_blank\">\n",
+    "<a href=\"https://colab.research.google.com/github/milvus-io/bootcamp/blob/master/bootcamp/tutorials/integration/quickstart_mem0_with_milvus.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>   <a href=\"https://github.com/milvus-io/bootcamp/blob/master/bootcamp/tutorials/integration/quickstart_mem0_with_milvus.ipynb\" target=\"_blank\">\n",
     "    <img src=\"https://img.shields.io/badge/View%20on%20GitHub-555555?style=flat&logo=github&logoColor=white\" alt=\"GitHub Repository\"/>"
    ]
   },
@@ -148,9 +148,9 @@
     "id": "h5y7B2QBVV7V"
    },
    "source": [
-    "- If you only need a local vector database for small scale data or prototyping, setting the uri as a local file, e.g.`./milvus.db`, is the most convenient method, as it automatically utilizes [Milvus Lite](https://milvus.io/docs/milvus_lite.md) to store all data in this file.\n",
-    "- If you have large scale of data, say more than a million vectors, you can set up a more performant Milvus server on [Docker or Kubernetes](https://milvus.io/docs/quickstart.md). In this setup, please use the server address and port as your uri, e.g.`http://localhost:19530`. If you enable the authentication feature on Milvus, use \"<your_username>:<your_password>\" as the token, otherwise don't set the token.\n",
-    "- If you use [Zilliz Cloud](https://zilliz.com/cloud), the fully managed cloud service for Milvus, adjust the `uri` and `token`, which correspond to the [Public Endpoint and API key](https://docs.zilliz.com/docs/on-zilliz-cloud-console#cluster-details) in Zilliz Cloud."
+    "> - If you only need a local vector database for small scale data or prototyping, setting the uri as a local file, e.g.`./milvus.db`, is the most convenient method, as it automatically utilizes [Milvus Lite](https://milvus.io/docs/milvus_lite.md) to store all data in this file.\n",
+    "> - If you have large scale of data, say more than a million vectors, you can set up a more performant Milvus server on [Docker or Kubernetes](https://milvus.io/docs/quickstart.md). In this setup, please use the server address and port as your uri, e.g.`http://localhost:19530`. If you enable the authentication feature on Milvus, use \"<your_username>:<your_password>\" as the token, otherwise don't set the token.\n",
+    "> - If you use [Zilliz Cloud](https://zilliz.com/cloud), the fully managed cloud service for Milvus, adjust the `uri` and `token`, which correspond to the [Public Endpoint and API key](https://docs.zilliz.com/docs/on-zilliz-cloud-console#cluster-details) in Zilliz Cloud."
    ]
   },
   {