diff --git a/docs/extras/integrations/vectorstores/pinecone.ipynb b/docs/extras/integrations/vectorstores/pinecone.ipynb
index 837dcf9dbf1..8d5cb9d4234 100644
--- a/docs/extras/integrations/vectorstores/pinecone.ipynb
+++ b/docs/extras/integrations/vectorstores/pinecone.ipynb
@@ -25,7 +25,7 @@
    },
    "outputs": [],
    "source": [
-    "!pip install pinecone-client openai tiktoken"
+    "!pip install pinecone-client openai tiktoken langchain"
    ]
   },
   {
@@ -38,7 +38,7 @@
     "import os\n",
     "import getpass\n",
     "\n",
-    "PINECONE_API_KEY = getpass.getpass(\"Pinecone API Key:\")"
+    "os.environ[\"PINECONE_API_KEY\"] = getpass.getpass(\"Pinecone API Key:\")"
    ]
   },
   {
@@ -48,7 +48,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "PINECONE_ENV = getpass.getpass(\"Pinecone Environment:\")"
+    "os.environ[\"PINECONE_ENV\"] = getpass.getpass(\"Pinecone Environment:\")"
    ]
   },
   {
@@ -113,12 +113,22 @@
     "\n",
     "# initialize pinecone\n",
     "pinecone.init(\n",
-    "    api_key=PINECONE_API_KEY,  # find at app.pinecone.io\n",
-    "    environment=PINECONE_ENV,  # next to api key in console\n",
+    "    api_key=os.getenv(\"PINECONE_API_KEY\"),  # find at app.pinecone.io\n",
+    "    environment=os.getenv(\"PINECONE_ENV\"),  # next to api key in console\n",
     ")\n",
     "\n",
     "index_name = \"langchain-demo\"\n",
     "\n",
+    "# First, check if our index already exists. If it doesn't, we create it\n",
+    "if index_name not in pinecone.list_indexes():\n",
+    "    # we create a new index\n",
+    "    pinecone.create_index(\n",
+    "      name=index_name,\n",
+    "      metric='cosine',\n",
+    "      dimension=1536  \n",
+    ")\n",
+    "# The OpenAI embedding model `text-embedding-ada-002 uses 1536 dimensions`\n",
+    
     "docsearch = Pinecone.from_documents(docs, embeddings, index_name=index_name)\n",
     "\n",
     "# if you already have an index, you can load it like this\n",