diff --git a/supporting-blog-content/unifying-elastic-vector-database-and-llms-for-intelligent-query/Unifying_Elastic_Vector_Database_and_LLMs_for_Intelligent_Query.ipynb b/supporting-blog-content/unifying-elastic-vector-database-and-llms-for-intelligent-query/Unifying_Elastic_Vector_Database_and_LLMs_for_Intelligent_Query.ipynb
index 24daa42e..3c09acdf 100644
--- a/supporting-blog-content/unifying-elastic-vector-database-and-llms-for-intelligent-query/Unifying_Elastic_Vector_Database_and_LLMs_for_Intelligent_Query.ipynb
+++ b/supporting-blog-content/unifying-elastic-vector-database-and-llms-for-intelligent-query/Unifying_Elastic_Vector_Database_and_LLMs_for_Intelligent_Query.ipynb
@@ -10,7 +10,7 @@
"# Objective\n",
"This notebook demonstrates how blending the capabilities of Elasticsearch as a vector database (VectorDB), search templates, and LLM functions can provide an intelligent query layer.\n",
"\n",
- "
\n",
+ "
\n",
"\n",
"\n",
"- **Elasticsearch as the VectorDB**: Acts as the core search engine, storing and retrieving dense vector embeddings efficiently.\n",