update example

Author: Ziqun Ye

llm_application/Use_of_Cohere_embed_models_for_Semantic_Search_in_OCI_OpenSearch.ipynb

@@ -4,8 +4,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Cohere Embedding Models for Semantic Search in OCI OpenSearch\n",
-    "In this tutorial, we will walk through the steps to conduct a semantic search using the Cohere embedding model with OCI Search.\n",
+    "# Retrieval Augmented Generative Question Answer Using OCI OpenSearch as Retriever\n",
+    "\n",
+    "In this tutorial, we will walk through the steps to set up a retrieval-augmented generative QA using OCI OpenSearch as retriever.\n",
     "\n",
     "### Prerequesites\n",
     "- You have a Running Instance of OCI Search.\n",
@@ -308,7 +309,7 @@
     }
    ],
    "source": [
-    "query_vector = oci_embedings.embed_query(text=\"how to set up tensorboard in oci?\")\n",
+    "query_vector = oci_embedings.embed_query(tex\n",
     "query = {\n",
     "    \"size\": 2,\n",
     "    \"query\": {\"knn\": {VECTOR_1_NAME: {\"vector\": query_vector, \"k\": 2}}},\n",