diff --git a/RAG/notebooks/langchain/RAG_Langchain_with_Local_NIM.ipynb b/RAG/notebooks/langchain/RAG_Langchain_with_Local_NIM.ipynb
index 550102dc..e31007be 100644
--- a/RAG/notebooks/langchain/RAG_Langchain_with_Local_NIM.ipynb
+++ b/RAG/notebooks/langchain/RAG_Langchain_with_Local_NIM.ipynb
@@ -125,7 +125,8 @@
     "!pip install --upgrade pip\n",
     "!pip install langchain==0.2.5\n",
     "!pip install langchain-nvidia-ai-endpoints==0.1.2\n",
-    "!pip install faiss-gpu==1.7.2 # replace with faiss-cpu if you don't have a gpu"
+    "!pip install faiss-gpu==1.7.2 # replace with faiss-cpu if you don't have a gpu\n",
+    "!pip install langchain-core==0.2.6 langchain-community"
    ]
   },
   {
@@ -152,6 +153,36 @@
     "    os.environ[\"NVIDIA_API_KEY\"] = nvapi_key"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "15e9c168",
+   "metadata": {},
+   "source": [
+    "Configure the model options"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6a8692b6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chat_model_options = {\n",
+    "    \"base_url\": \"http://0.0.0.0:8000/v1\",\n",
+    "    \"model\": \"meta/llama3-8b-instruct\",\n",
+    "    \"temperature\": 0.1,\n",
+    "    \"max_tokens\": 1000,\n",
+    "    \"top_p\": 1.0\n",
+    "}\n",
+    "\n",
+    "embeddings_model_options = {\n",
+    "    \"base_url\": \"http://0.0.0.0:8000/v1\",\n",
+    "    \"model\": \"NV-Embed-QA\",\n",
+    "    \"truncate\": \"END\"\n",
+    "}"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "5584e3b1",
@@ -169,7 +200,7 @@
    "source": [
     "from langchain_nvidia_ai_endpoints import ChatNVIDIA\n",
     "\n",
-    "llm = ChatNVIDIA(base_url=\"http://0.0.0.0:8000/v1\", model=\"meta/llama3-8b-instruct\", temperature=0.1, max_tokens=1000, top_p=1.0)\n",
+    "llm = ChatNVIDIA(**chat_model_options)\n",
     "\n",
     "result = llm.invoke(\"What is the capital of France?\")\n",
     "print(result.content)"
@@ -342,7 +373,7 @@
     "    Returns:\n",
     "        None\n",
     "    \"\"\"\n",
-    "    embeddings = NVIDIAEmbeddings(model=\"NV-Embed-QA\", truncate=\"END\")\n",
+    "    embeddings = NVIDIAEmbeddings(**embedding_model_options)\n",
     "\n",
     "    for document in documents:\n",
     "        texts = splitter.split_text(document.page_content)\n",
@@ -378,11 +409,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
-    "\n",
     "create_embeddings()\n",
     "\n",
-    "embedding_model = NVIDIAEmbeddings(model=\"NV-Embed-QA\", truncate=\"END\")\n"
+    "embedding_model = NVIDIAEmbeddings(**embedding_options)\n"
    ]
   },
   {
@@ -420,7 +449,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "llm = ChatNVIDIA(base_url=\"http://0.0.0.0:8000/v1\", model=\"meta/llama3-8b-instruct\", temperature=0.1, max_tokens=1000, top_p=1.0)\n",
+    "llm = ChatNVIDIA(**chat_model_options)\n",
     "\n",
     "memory = ConversationBufferMemory(memory_key=\"chat_history\", return_messages=True)\n",
     "\n",