diff --git a/notebooks/elasticsearch-writer.ipynb b/notebooks/elasticsearch-writer.ipynb
index 4dfab0d17..43063d42d 100644
--- a/notebooks/elasticsearch-writer.ipynb
+++ b/notebooks/elasticsearch-writer.ipynb
@@ -9,6 +9,16 @@
     "You can also run the Aryn Partitioner locally by setting `use_partitioning_service` to `False`. Though you can use CPU to run the Aryn Partitioner, it is recommended to use an NVIDIA GPU for good performance."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If any of the packages below are missing, you can install them using the following command:\n",
+    "```bash\n",
+    "!pip install -q PACKAGE_NAME\n",
+    "```"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -237,7 +247,7 @@
     "response = client.search(\n",
     "  index = index_name,\n",
     "  knn={\n",
-    "      \"field\": \"embeddings\",\n",
+    "      \"field\": \"embedding\",\n",
     "      \"query_vector\": embedder.embed_query(\"How do I prevent accidents?\"),\n",
     "      \"k\": 10,\n",
     "      \"num_candidates\": 10\n",
@@ -327,7 +337,7 @@
     "from langchain.chains import RetrievalQAWithSourcesChain  \n",
     "import os\n",
     "\n",
-    "vector_store = ElasticsearchStore(index_name=index_name, es_connection=client, vector_query_field=\"embeddings\", \n",
+    "vector_store = ElasticsearchStore(index_name=index_name, es_connection=client, vector_query_field=\"embedding\", \n",
     "                                  query_field=\"text_representation\", embedding=embedder)\n",
     "\n",
     "llm = ChatOpenAI(  \n",
@@ -342,11 +352,18 @@
     ")  \n",
     "qa.invoke({\"question\": \"How many accidents happened?\"})"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
@@ -360,7 +377,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,