diff --git a/docs/docs/integrations/chat/kinetica.ipynb b/docs/docs/integrations/chat/kinetica.ipynb
index 54c1f8654c8..b3c37f6e77c 100644
--- a/docs/docs/integrations/chat/kinetica.ipynb
+++ b/docs/docs/integrations/chat/kinetica.ipynb
@@ -61,7 +61,7 @@
     "# Install Langchain community and core packages\n",
     "%pip install --upgrade --quiet langchain-core langchain-community\n",
     "\n",
-    "# Install Kineitca DB connection package\n",
+    "# Install Kinetica DB connection package\n",
     "%pip install --upgrade --quiet 'gpudb>=7.2.0.8' typeguard pandas tqdm\n",
     "\n",
     "# Install packages needed for this tutorial\n",
diff --git a/docs/docs/integrations/chat/nvidia_ai_endpoints.ipynb b/docs/docs/integrations/chat/nvidia_ai_endpoints.ipynb
index 1929b701f0c..a8e4e68c484 100644
--- a/docs/docs/integrations/chat/nvidia_ai_endpoints.ipynb
+++ b/docs/docs/integrations/chat/nvidia_ai_endpoints.ipynb
@@ -318,7 +318,7 @@
       "source": [
         "### Code Generation\n",
         "\n",
-        "These models accept the same arguments and input structure as regular chat models, but they tend to perform better on code-genreation and structured code tasks. An example of this is `meta/codellama-70b`."
+        "These models accept the same arguments and input structure as regular chat models, but they tend to perform better on code-generation and structured code tasks. An example of this is `meta/codellama-70b`."
       ]
     },
     {