diff --git a/apps/docs/pages/guides/ai/integrations/llamaindex.mdx b/apps/docs/pages/guides/ai/integrations/llamaindex.mdx
index ceaa6619960..59db32b9cd3 100644
--- a/apps/docs/pages/guides/ai/integrations/llamaindex.mdx
+++ b/apps/docs/pages/guides/ai/integrations/llamaindex.mdx
@@ -9,17 +9,17 @@ export const meta = {
   breadcrumb: 'AI Integrations',
 }
 
-This guide will walk you through a basic example using the LlamaIndex [SupabaseVectorStore](https://github.com/supabase/supabase/blob/master/examples/ai/integrations/llamaindex/llamaindex.ipynb).
+This guide will walk you through a basic example using the LlamaIndex [SupabaseVectorStore](https://github.com/supabase/supabase/blob/master/examples/ai/llamaindex/llamaindex.ipynb).
 
 <DatabaseSetup />
 
 ## Launching a notebook
 
-Launch our [LlamaIndex](https://github.com/supabase/supabase/blob/master/examples/ai/integrations/llamaindex/llamaindex.ipynb) notebook in Colab:
+Launch our [LlamaIndex](https://github.com/supabase/supabase/blob/master/examples/ai/llamaindex/llamaindex.ipynb) notebook in Colab:
 
 <a
   className="w-64"
-  href="https://github.com/supabase/supabase/blob/master/examples/ai/integrations/llamaindex/llamaindex.ipynb"
+  href="https://colab.research.google.com/github/supabase/supabase/blob/master/examples/ai/llamaindex/llamaindex.ipynb"
 >
   <img src="/docs/img/ai/colab-badge.svg" />
 </a>
diff --git a/examples/ai/llamaindex/llamaindex.ipynb b/examples/ai/llamaindex/llamaindex.ipynb
index a9e11c42606..4bcfa36b7bf 100644
--- a/examples/ai/llamaindex/llamaindex.ipynb
+++ b/examples/ai/llamaindex/llamaindex.ipynb
@@ -36,12 +36,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install -qU vecs datasets llama_index"
+    "!pip install -qU vecs datasets llama_index html2text"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "0026437c",
    "metadata": {},
    "outputs": [],
@@ -53,10 +53,11 @@
     "# logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)\n",
     "# logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))\n",
     "\n",
-    "from llama_index import SimpleDirectoryReader, Document, StorageContext\n",
+    "from llama_index import SimpleWebPageReader, StorageContext\n",
     "from llama_index.indices.vector_store import VectorStoreIndex\n",
     "from llama_index.vector_stores import SupabaseVectorStore\n",
-    "import textwrap"
+    "import textwrap\n",
+    "import html2text"
    ]
   },
   {
@@ -94,20 +95,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "dc6b0bc2-b95f-4190-bf77-fa2dc57fc247",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Document ID: e2b246de-b306-4615-851c-fe891a862a5f Document Hash: 77ae91ab542f3abb308c4d7c77c9bc4c9ad0ccd63144802b7cbe7e1bb3a4094e\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "documents = SimpleDirectoryReader('./data').load_data()\n",
+    "essays = [\n",
+    "    'paul_graham_essay.txt'\n",
+    "]\n",
+    "documents = SimpleWebPageReader().load_data([f'https://raw.githubusercontent.com/supabase/supabase/master/examples/ai/llamaindex/data/{essay}' for essay in essays])\n",
     "print('Document ID:', documents[0].doc_id, 'Document Hash:', documents[0].doc_hash)"
    ]
   },