fix embedding model change and quick code edits

examples/vector_databases/pinecone/Using_Pinecone_for_embeddings_search.ipynb

@@ -105,7 +105,7 @@
     "import pinecone\n",
     "\n",
     "# I've set this to our new embeddings model, this can be changed to the embedding model of your choice\n",
-    "EMBEDDING_MODEL = \"text-embedding-3-small\"\n",
+    "EMBEDDING_MODEL = \"text-embedding-ada-002\"\n",
     "\n",
     "# Ignore unclosed SSL socket warnings - optional in case you get these errors\n",
     "import warnings\n",
@@ -532,7 +532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "3c8c2aa1",
    "metadata": {},
    "outputs": [],
@@ -548,9 +548,9 @@
     "                                            )[\"data\"][0]['embedding']\n",
     "\n",
     "    # Query namespace passed as parameter using title vector\n",
-    "    query_result = index.query(embedded_query, \n",
-    "                                      namespace=namespace, \n",
-    "                                      top_k=top_k)\n",
+    "    query_result = index.query(vector=embedded_query, \n",
+    "                               namespace=namespace, \n",
+    "                               top_k=top_k)\n",
     "\n",
     "    # Print query results \n",
     "    print(f'\\nMost similar results to {query} in \"{namespace}\" namespace:\\n')\n",
@@ -567,7 +567,7 @@
     "                       })\n",
     "    \n",
     "    counter = 0\n",
-    "    for k,v in df.iterrows():\n",
+    "    for _,v in df.iterrows():\n",
     "        counter += 1\n",
     "        print(f'{v.title} (score = {v.score})')\n",
     "    \n",
@@ -629,14 +629,6 @@
    "source": [
     "content_query_output = query_article(\"Famous battles in Scottish history\",'content')"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0119d87a",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {