Update notebook

examples/79_RAG_is_more_than_Vector_Search.ipynb

@@ -158,7 +158,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "c7ff2a35",
    "metadata": {},
    "outputs": [
@@ -173,7 +173,7 @@
    "source": [
     "import sqlite3\n",
     "\n",
-    "from txtai import LLM, RAG\n",
+    "from txtai import LLM\n",
     "\n",
     "def keyword(query):\n",
     "    return llm(f\"\"\"\n",
@@ -203,16 +203,6 @@
     "# Load the LLM\n",
     "llm = LLM(\"Qwen/Qwen3-4B-Instruct-2507\")\n",
     "\n",
-    "template = \"\"\"\n",
-    "  Answer the following question using the provided context.\n",
-    "\n",
-    "  Question:\n",
-    "  {question}\n",
-    "\n",
-    "  Context:\n",
-    "  {context}\n",
-    "\"\"\"\n",
-    "\n",
     "# RAG with a SQL query\n",
     "rag = RAG(sqlsearch, llm, template=template, output=\"flatten\")\n",
     "print(rag(\"Tell me what happened in the 2025 World Series\", maxlength=2048))"