Refactor FAQ matching output and adjust similarity threshold

- Updated execution counts for code cells to reflect changes.
- Enhanced output formatting for matched FAQs, including clearer question and answer presentation.
- Adjusted the similarity threshold in the `match_faq` function to allow for looser matching (default set to 0.5).
- Improved documentation for the threshold parameter to clarify its usage.

M2/Natural Language Process/TP1 embeddings.ipynb

@@ -65,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {
     "id": "R88Cd1WAp5Br"
    },
@@ -1826,7 +1826,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [
     {
@@ -1834,17 +1834,20 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "Q: I forgot my password, what should I do?\n",
-      "No matching FAQ found\n",
+      "Question: I forgot my password, what should I do?\n",
+      " - Match: How do I reset my password? (similarity: 0.6909)\n",
+      " - Answer: Go to Settings > Security > Reset Password\n",
       "\n",
-      "Q: How much does delivery cost?\n",
-      "No matching FAQ found\n",
+      "Question: How much does delivery cost?\n",
+      " - Match: What are your shipping costs? (similarity: 0.5593)\n",
+      " - Answer: Shipping is free for orders over $50\n",
       "\n",
-      "Q: Can I return items I purchased?\n",
-      "No matching FAQ found\n",
+      "Question: Can I return items I purchased?\n",
+      " - Match: Do you accept returns? (similarity: 0.6974)\n",
+      " - Answer: Yes, within 30 days with original receipt\n",
       "\n",
-      "Q: What is the meaning of life?\n",
-      "No matching FAQ found\n"
+      "Question: What is the meaning of life?\n",
+      "   No matching FAQ found (below threshold)\n"
      ]
     }
    ],
@@ -1857,13 +1860,13 @@
     "    \"What payment methods do you accept?\": \"We accept credit cards, PayPal, and bank transfers\",\n",
     "}\n",
     "\n",
-    "def match_faq(user_question: str, faqs: dict, threshold: float = 0.7) -> tuple[str, str, float] | None:\n",
+    "def match_faq(user_question: str, faqs: dict, threshold: float = 0.5) -> tuple[str, str, float] | None:\n",
     "    \"\"\"Find the best matching FAQ for a user question.\n",
     "\n",
     "    Args:\n",
     "        user_question: Question from user\n",
     "        faqs: Dictionary of FAQ questions and answers\n",
-    "        threshold: Minimum similarity to return a match\n",
+    "        threshold: Minimum similarity to return a match (default 0.5 for loose matching, use 0.7+ for strict)\n",
     "\n",
     "    Returns:\n",
     "        Tuple of (matching_question, answer, similarity) or None\n",
@@ -1900,12 +1903,12 @@
     "for query in test_queries:\n",
     "    result = match_faq(query, faqs)\n",
     "    if result:\n",
-    "        print(f\"\\nQ: {query}\")\n",
-    "        print(f\"Match: {result[0]} (similarity: {result[2]:.2f})\")\n",
-    "        print(f\"A: {result[1]}\")\n",
+    "        print(f\"\\nQuestion: {query}\")\n",
+    "        print(f\" - Match: {result[0]} (similarity: {result[2]:.4f})\")\n",
+    "        print(f\" - Answer: {result[1]}\")\n",
     "    else:\n",
-    "        print(f\"\\nQ: {query}\")\n",
-    "        print(\"No matching FAQ found\")\n"
+    "        print(f\"\\nQuestion: {query}\")\n",
+    "        print(\"   No matching FAQ found (below threshold)\")\n"
    ]
   },
   {