update prompt

app.py

@@ -29,14 +29,15 @@ checkModel = genai.GenerativeModel("gemini-2.0-flash")
 ########################################
 def need_rag_check(model, user_input):
     prompt = f"""
-你是一個智慧客服助理。
+你是一個智慧客服助理，專精於保險專業資訊。
+無論使用者是詢問保險方案推薦、投保流程或其他與保險相關的專業問題，只要提到保險相關資訊，就必須查詢保險資料庫來輔助回答。
+請根據下面的對話內容，僅輸出 "YES" ，表示需要查詢資料庫；否則輸出 "NO"。
 對話內容：{user_input}
-是否需要從保險資料庫中查詢才能回答(如果判斷是回復個人資訊，就不用，但如果是問有甚麼推薦的保險方案或者是與保險相關的資訊，就一定要查詢資料庫)？ 
-如需要則輸出 "YES", 否則輸出 "NO"
 """
     resp = model.generate_content(prompt)
     return ("YES" in resp.text.upper())
 
+
 ########################################
 # 載入 Chuxin Embedding 模型 (快取)
 ########################################

process.ipynb

@@ -57,73 +57,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Add of existing embedding ID: doc_001\n",
-      "Insert of existing embedding ID: doc_001\n",
-      "Add of existing embedding ID: doc_002\n",
-      "Insert of existing embedding ID: doc_002\n",
-      "Add of existing embedding ID: doc_003\n",
-      "Insert of existing embedding ID: doc_003\n",
-      "Add of existing embedding ID: doc_004\n",
-      "Insert of existing embedding ID: doc_004\n",
-      "Add of existing embedding ID: doc_005\n",
-      "Insert of existing embedding ID: doc_005\n",
-      "Add of existing embedding ID: doc_006\n",
-      "Insert of existing embedding ID: doc_006\n",
-      "Add of existing embedding ID: doc_007\n",
-      "Insert of existing embedding ID: doc_007\n",
-      "Add of existing embedding ID: doc_008\n",
-      "Insert of existing embedding ID: doc_008\n",
-      "Add of existing embedding ID: doc_009\n",
-      "Insert of existing embedding ID: doc_009\n",
-      "Add of existing embedding ID: doc_010\n",
-      "Insert of existing embedding ID: doc_010\n",
-      "Add of existing embedding ID: doc_011\n",
-      "Insert of existing embedding ID: doc_011\n",
-      "Add of existing embedding ID: doc_012\n",
-      "Insert of existing embedding ID: doc_012\n",
-      "Add of existing embedding ID: doc_013\n",
-      "Insert of existing embedding ID: doc_013\n",
-      "Add of existing embedding ID: doc_014\n",
-      "Insert of existing embedding ID: doc_014\n",
-      "Add of existing embedding ID: doc_015\n",
-      "Insert of existing embedding ID: doc_015\n",
-      "Add of existing embedding ID: doc_016\n",
-      "Insert of existing embedding ID: doc_016\n",
-      "Add of existing embedding ID: doc_017\n",
-      "Insert of existing embedding ID: doc_017\n",
-      "Add of existing embedding ID: doc_018\n",
-      "Insert of existing embedding ID: doc_018\n",
-      "Add of existing embedding ID: doc_019\n",
-      "Insert of existing embedding ID: doc_019\n",
-      "Add of existing embedding ID: doc_020\n",
-      "Insert of existing embedding ID: doc_020\n",
-      "Add of existing embedding ID: doc_021\n",
-      "Insert of existing embedding ID: doc_021\n",
-      "Add of existing embedding ID: doc_022\n",
-      "Insert of existing embedding ID: doc_022\n",
-      "Add of existing embedding ID: doc_023\n",
-      "Insert of existing embedding ID: doc_023\n",
-      "Add of existing embedding ID: doc_foodpanda_plan_1\n",
-      "Insert of existing embedding ID: doc_foodpanda_plan_1\n",
-      "Add of existing embedding ID: doc_foodpanda_plan_2\n",
-      "Insert of existing embedding ID: doc_foodpanda_plan_2\n",
-      "Add of existing embedding ID: doc_foodpanda_plan_3\n",
-      "Insert of existing embedding ID: doc_foodpanda_plan_3\n",
-      "Add of existing embedding ID: doc_uber_plan_1\n",
-      "Insert of existing embedding ID: doc_uber_plan_1\n",
-      "Add of existing embedding ID: doc_uber_plan_2\n",
-      "Insert of existing embedding ID: doc_uber_plan_2\n",
-      "Add of existing embedding ID: doc_comparison_overall\n",
-      "Insert of existing embedding ID: doc_comparison_overall\n",
-      "Add of existing embedding ID: doc_introduction_scenario\n",
-      "Insert of existing embedding ID: doc_introduction_scenario\n"
+      "You're using a XLMRobertaTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.\n"
      ]
     },
     {