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", - "\"Open\n", + "\"Open\n", "\n", "\n", "- **Elasticsearch as the VectorDB**: Acts as the core search engine, storing and retrieving dense vector embeddings efficiently.\n",