milvus collections (#11148)

Description: There was no information about Milvus collections in the
documentation, so I am adding that.
Maintainer: @eyurtsev

docs/extras/integrations/vectorstores/milvus.ipynb

@@ -140,12 +140,67 @@
    ]
   },
   {
-   "cell_type": "code",
+   "cell_type": "markdown",
-   "execution_count": null,
    "id": "e40d558b",
    "metadata": {},
+   "source": [
+    "### Compartmentalize the data with Milvus Collections\n",
+    "\n",
+    "You can store different unrelated documents in different collections within same Milvus instance to maintain the context"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "82c00f6e",
+   "metadata": {},
+   "source": [
+    "Here's how you can create a new collection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f7ff38ab",
+   "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "vector_db = Milvus.from_documents(\n",
+    "    docs,\n",
+    "    embeddings,\n",
+    "    collection_name = 'collection_1',\n",
+    "    connection_args={\"host\": \"127.0.0.1\", \"port\": \"19530\"},\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "891cec1f",
+   "metadata": {},
+   "source": [
+    "And here is how you retrieve that stored collection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e9e873e9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vector_db = Milvus(\n",
+    "           embeddings,\n",
+    "           connection_args={\"host\": \"127.0.0.1\", \"port\": \"19530\"},\n",
+    "           collection_name = 'collection_1'\n",
+    "       )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9cc65535",
+   "metadata": {},
+   "source": [
+    "After retreival you can go on querying it as usual."
+   ]
   }
  ],
  "metadata": {