diff --git a/docs/docs/integrations/retrievers/dappier.ipynb b/docs/docs/integrations/retrievers/dappier.ipynb
index d63a47c6fbe23..f0de0b7f49ff5 100644
--- a/docs/docs/integrations/retrievers/dappier.ipynb
+++ b/docs/docs/integrations/retrievers/dappier.ipynb
@@ -14,14 +14,6 @@
     "> [Dappier](https://dappier.com) delivers enriched, prompt-ready, and contextually relevant data strings, optimized for seamless integration with LangChain. Whether you're building conversational AI, recommendation engines, or intelligent search, Dappier's LLM-agnostic RAG models ensure your AI has access to verified, up-to-date data—without the complexity of building and managing your own retrieval pipeline."
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "384126e7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "e49f1e0d",