Vector query fix in RAG tutorial

Author: HeidiSteen

Tutorial-RAG/Tutorial-rag.ipynb

@@ -559,14 +559,17 @@
     "\"\"\"\n",
     "\n",
     "# Provide the query. Notice it's sent to both the search engine and the LLM.\n",
+    "# The query sent to the search engine is hybrid. Keyword search on \"query\". Text-to-vector conversion for vector search.\n",
     "query=\"how much of earth is covered by water\"\n",
+    "vector_query = VectorizableTextQuery(text=query, k_nearest_neighbors=1, fields=\"text_vector\", exhaustive=True)\n",
     "\n",
     "# Set up the search results and the chat thread.\n",
     "# Retrieve the selected fields from the search index related to the question.\n",
     "search_results = search_client.search(\n",
     "    search_text=query,\n",
+    "    vector_queries= [vector_query],\n",
+    "    select=\"title, chunk, locations\",\n",
     "    top=1,\n",
-    "    select=\"title, chunk, locations\"\n",
     ")\n",
     "sources_formatted = \"\\n\".join([f'{document[\"title\"]}:{document[\"chunk\"]}:{document[\"locations\"]}' for document in search_results])\n",
     "\n",