diff --git a/examples/vector_databases/cassandra_astradb/Philosophical_Quotes_cassIO.ipynb b/examples/vector_databases/cassandra_astradb/Philosophical_Quotes_cassIO.ipynb
index a47f078..5d17b7c 100644
--- a/examples/vector_databases/cassandra_astradb/Philosophical_Quotes_cassIO.ipynb
+++ b/examples/vector_databases/cassandra_astradb/Philosophical_Quotes_cassIO.ipynb
@@ -930,7 +930,9 @@
    "source": [
     "Now repeat the compute-embeddings-and-insert step on the new table.\n",
     "\n",
-    "The only difference is how one stores the quote's author as the _partition id_ in this new table, instead of adding it to the catch-all \"metadata\" dictionary.\n",
+    "Compared to what you have seen earlier, there is a crucial difference in that now the quote's author is stored as the _partition id_ for the inserted row, instead of being added to the catch-all \"metadata\" dictionary.\n",
+    "\n",
+    "While you are at it, by way of demonstration, you will insert all quotes by a given author _concurrently_: with CassIO, this is done by usng the asynchronous `put_async` method for each quote, collecting the resulting list of `Future` objects, and calling the `result()` method on them all afterwards, to ensure they all have executed. Cassandra / Astra DB well supports a high degree of concurrency in I/O operations.\n",
     "\n",
     "_(Note: one could have cached the embeddings computed previously to save a few API tokens -- here, however, we wanted to keep the code easier to inspect.)_"
    ]
@@ -945,15 +947,15 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "aristotle: ************************************************** Done (50 quotes inserted).\n",
-      "freud: ************************************************** Done (50 quotes inserted).\n",
-      "hegel: ************************************************** Done (50 quotes inserted).\n",
-      "kant: ************************************************** Done (50 quotes inserted).\n",
-      "nietzsche: ************************************************** Done (50 quotes inserted).\n",
-      "plato: ************************************************** Done (50 quotes inserted).\n",
-      "sartre: ************************************************** Done (50 quotes inserted).\n",
-      "schopenhauer: ************************************************** Done (50 quotes inserted).\n",
-      "spinoza: ************************************************** Done (50 quotes inserted).\n",
+      "aristotle:  Done (50 quotes inserted).\n",
+      "freud:  Done (50 quotes inserted).\n",
+      "hegel:  Done (50 quotes inserted).\n",
+      "kant:  Done (50 quotes inserted).\n",
+      "nietzsche:  Done (50 quotes inserted).\n",
+      "plato:  Done (50 quotes inserted).\n",
+      "sartre:  Done (50 quotes inserted).\n",
+      "schopenhauer:  Done (50 quotes inserted).\n",
+      "spinoza:  Done (50 quotes inserted).\n",
       "Finished inserting.\n"
      ]
     }
@@ -965,15 +967,17 @@
     "        input=[quote[\"body\"] for quote in quotes],\n",
     "        engine=embedding_model_name,\n",
     "    )\n",
+    "    futures = []\n",
     "    for quote_idx, (quote, q_data) in enumerate(zip(quotes, result.data)):\n",
-    "        v_table_partitioned.put(\n",
+    "        futures.append(v_table_partitioned.put_async(\n",
     "            partition_id=philosopher,\n",
     "            row_id=f\"q_{philosopher}_{quote_idx}\",\n",
     "            body_blob=quote[\"body\"],\n",
     "            vector=q_data.embedding,\n",
     "            metadata={tag: True for tag in quote[\"tags\"]},\n",
-    "        )\n",
-    "        print(\"*\", end='')\n",
+    "        ))\n",
+    "    for future in futures:\n",
+    "        future.result()\n",
     "    print(f\" Done ({len(quotes)} quotes inserted).\")\n",
     "print(\"Finished inserting.\")"
    ]
@@ -1118,7 +1122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 30,
    "id": "1eb0fd16-7e15-4742-8fc5-94d9eeeda620",
    "metadata": {},
    "outputs": [
@@ -1128,7 +1132,7 @@
        "<cassandra.cluster.ResultSet at 0x7f1705d44880>"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }