diff --git a/docs/docs/integrations/retrievers/pinecone_hybrid_search.ipynb b/docs/docs/integrations/retrievers/pinecone_hybrid_search.ipynb
index b9916ec316f..d0691baceb5 100644
--- a/docs/docs/integrations/retrievers/pinecone_hybrid_search.ipynb
+++ b/docs/docs/integrations/retrievers/pinecone_hybrid_search.ipynb
@@ -24,7 +24,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install --upgrade --quiet  pinecone-client pinecone-text"
+    "%pip install --upgrade --quiet  pinecone-client pinecone-text pinecone-notebooks"
    ]
   },
   {
@@ -34,10 +34,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import getpass\n",
+    "# Connect to Pinecone and get an API key.\n",
+    "from pinecone_notebooks.colab import Authenticate\n",
+    "\n",
+    "Authenticate()\n",
+    "\n",
     "import os\n",
     "\n",
-    "os.environ[\"PINECONE_API_KEY\"] = getpass.getpass(\"Pinecone API Key:\")"
+    "api_key = os.environ[\"PINECONE_API_KEY\"]"
    ]
   },
   {
@@ -52,16 +56,6 @@
     ")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4577fea1-05e7-47a0-8173-56b0ddaa22bf",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "os.environ[\"PINECONE_ENVIRONMENT\"] = getpass.getpass(\"Pinecone Environment:\")"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "80e2e8e3-0fb5-4bd9-9196-9eada3439a61",
@@ -77,6 +71,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import getpass\n",
+    "\n",
     "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")"
    ]
   },
@@ -93,9 +89,7 @@
    "id": "95d5d7f9",
    "metadata": {},
    "source": [
-    "You should only have to do this part once.\n",
-    "\n",
-    "Note: it's important to make sure that the \"context\" field that holds the document text in the metadata is not indexed. Currently you need to specify explicitly the fields you do want to index. For more information checkout Pinecone's [docs](https://docs.pinecone.io/docs/manage-indexes#selective-metadata-indexing)."
+    "You should only have to do this part once."
    ]
   },
   {
@@ -118,28 +112,21 @@
    "source": [
     "import os\n",
     "\n",
-    "import pinecone\n",
+    "from pinecone import Pinecone, ServerlessSpec\n",
     "\n",
-    "api_key = os.getenv(\"PINECONE_API_KEY\") or \"PINECONE_API_KEY\"\n",
+    "index_name = \"langchain-pinecone-hybrid-search\"\n",
+    "\n",
+    "# initialize Pinecone client\n",
+    "pc = Pinecone(api_key=api_key)\n",
     "\n",
-    "index_name = \"langchain-pinecone-hybrid-search\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 77,
-   "id": "cfa3a8d8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
     "# create the index\n",
-    "pinecone.create_index(\n",
-    "    name=index_name,\n",
-    "    dimension=1536,  # dimensionality of dense model\n",
-    "    metric=\"dotproduct\",  # sparse values supported only for dotproduct\n",
-    "    pod_type=\"s1\",\n",
-    "    metadata_config={\"indexed\": []},  # see explanation above\n",
-    ")"
+    "if index_name not in pc.list_indexes().names():\n",
+    "    pc.create_index(\n",
+    "        name=index_name,\n",
+    "        dimension=1536,  # dimensionality of dense model\n",
+    "        metric=\"dotproduct\",  # sparse values supported only for dotproduct\n",
+    "        spec=ServerlessSpec(cloud=\"aws\", region=\"us-east-1\"),\n",
+    "    )"
    ]
   },
   {
@@ -147,7 +134,7 @@
    "id": "e01549af",
    "metadata": {},
    "source": [
-    "Now that its created, we can use it"
+    "Now that the index is created, we can use it."
    ]
   },
   {
@@ -157,7 +144,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "index = pinecone.Index(index_name)"
+    "index = pc.Index(index_name)"
    ]
   },
   {