diff --git a/docs/docs/integrations/chat/kinetica.ipynb b/docs/docs/integrations/chat/kinetica.ipynb
index 93fd51f4ac..54c1f8654c 100644
--- a/docs/docs/integrations/chat/kinetica.ipynb
+++ b/docs/docs/integrations/chat/kinetica.ipynb
@@ -13,7 +13,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Kinetica SqlAssist LLM Demo\n",
+    "# Kinetica Language To SQL Chat Model\n",
     "\n",
     "This notebook demonstrates how to use Kinetica to transform natural language into SQL\n",
     "and simplify the process of data retrieval. This demo is intended to show the mechanics\n",
diff --git a/docs/docs/integrations/providers/kinetica.mdx b/docs/docs/integrations/providers/kinetica.mdx
index 29d039dfe7..23da3da8bc 100644
--- a/docs/docs/integrations/providers/kinetica.mdx
+++ b/docs/docs/integrations/providers/kinetica.mdx
@@ -9,7 +9,7 @@ The Kinetica LLM wrapper uses the [Kinetica SqlAssist
 LLM](https://docs.kinetica.com/7.2/sql-gpt/concepts/) to transform natural language into
 SQL to simplify the process of data retrieval.
 
-See [Kinetica SqlAssist LLM Demo](/docs/integrations/chat/kinetica) for usage.
+See [Kinetica Language To SQL Chat Model](/docs/integrations/chat/kinetica) for usage.
 
 ```python
 from langchain_community.chat_models.kinetica import ChatKinetica