diff --git a/examples/vector_databases/Using_vector_databases_for_embeddings_search.ipynb b/examples/vector_databases/Using_vector_databases_for_embeddings_search.ipynb
index 9347621..3227045 100644
--- a/examples/vector_databases/Using_vector_databases_for_embeddings_search.ipynb
+++ b/examples/vector_databases/Using_vector_databases_for_embeddings_search.ipynb
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "5be94df6",
    "metadata": {},
    "outputs": [],
@@ -111,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "id": "bd99e08e",
    "metadata": {},
    "outputs": [],
@@ -172,10 +172,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "0c1c73cb",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Found cached dataset wikipedia (/Users/colin.jarvis/.cache/huggingface/datasets/wikipedia/20220301.simple/2.0.0/aa542ed919df55cc5d3347f42dd4521d05ca68751f50dbc32bae2a7f1e167559)\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "6aa3a11d70424916915334e267f4964b",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/1 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# We'll use the datasets library to pull the Simple Wikipedia dataset for embedding\n",
     "dataset = list(load_dataset(\"wikipedia\", \"20220301.simple\")[\"train\"])\n",
@@ -185,7 +207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 12,
    "id": "e6ee90ce",
    "metadata": {},
    "outputs": [
@@ -200,15 +222,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "25024it [01:11, 348.92it/s]                                                                                                                                           "
+      "25024it [00:59, 423.81it/s]                                                                                                                          "
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 15.8 s, sys: 1.96 s, total: 17.8 s\n",
-      "Wall time: 1min 14s\n"
+      "CPU times: user 17.9 s, sys: 3.15 s, total: 21 s\n",
+      "Wall time: 1min 1s\n"
      ]
     },
     {
@@ -227,7 +249,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 5,
    "id": "850c7215",
    "metadata": {},
    "outputs": [
@@ -242,7 +264,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "25024it [00:21, 1164.97it/s]                                                                                                                                          \n"
+      "25024it [00:40, 616.58it/s]                                                                                                                          \n"
      ]
     }
    ],
@@ -253,7 +275,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 13,
    "id": "1410daaa",
    "metadata": {},
    "outputs": [
@@ -372,7 +394,7 @@
        "4  [0.021524671465158463, 0.018522677943110466, -...         4  "
       ]
      },
-     "execution_count": 17,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -406,7 +428,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 11,
    "id": "92e6152a",
    "metadata": {},
    "outputs": [],
@@ -715,7 +737,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
    "id": "b9ea472d",
    "metadata": {},
    "outputs": [],
@@ -725,21 +747,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": null,
    "id": "13be220d",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'classes': []}"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "client.schema.delete_all()\n",
     "client.schema.get()"
@@ -747,21 +758,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "id": "73d33184",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "client.is_ready()"
    ]
@@ -1095,7 +1095,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 7,
    "id": "76d697e9",
    "metadata": {
     "ExecuteTime": {
@@ -1110,7 +1110,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 8,
    "id": "1deeb539",
    "metadata": {
     "ExecuteTime": {
@@ -1125,7 +1125,7 @@
        "CollectionsResponse(collections=[])"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }