updated file to comply with pr test

rag/qdrant_with_reranking.ipynb

@@ -626,38 +626,40 @@
         "reranker = Ranker()\n",
         "\n",
         "def retrieve_and_rerank(query):\n",
-        "  \"\"\"\n",
-        "  This method takes a query as a string, searches and retrieves\n",
-        "  relevant data from the Qdrant database, and then reranks the\n",
-        "  retrieved data based on relevance, printing the scores in a table.\n",
-        "  \"\"\"\n",
-        "  query_embedded = model.encode(query).tolist()\n",
+        "    \"\"\"\n",
+        "    This method takes a query as a string, searches and retrieves\n",
+        "    relevant data from the Qdrant database, and then reranks the\n",
+        "    retrieved data based on relevance, printing the scores in a table.\n",
+        "    \"\"\"\n",
+        "    query_embedded = model.encode(query).tolist()\n",
         "\n",
-        "  search_results = client.search(\n",
-        "      collection_name=\"retrieval with reranking\",\n",
-        "      query_vector=query_embedded,\n",
-        "      limit=5\n",
-        "  )\n",
+        "    search_results = client.search(\n",
+        "        collection_name=\"retrieval with reranking\",\n",
+        "        query_vector=query_embedded,\n",
+        "        limit=5\n",
+        "    )\n",
         "\n",
-        "  # convert Qdrant results into a format suitable for re-ranking\n",
-        "  search_texts = [\n",
-        "    {\"text\": result.payload['text']} \n",
-        "    for result in search_results\n",
-        "  ]\n",
+        "    # Convert Qdrant results into a format suitable for re-ranking\n",
+        "    search_texts = [\n",
+        "        {\"text\": result.payload['text']}\n",
+        "        for result in search_results\n",
+        "    ]\n",
         "\n",
-        "  re_ranked_results = reranker.rerank(\n",
-        "    RerankRequest(query,search_texts)\n",
+        "    re_ranked_results = reranker.rerank(\n",
+        "        RerankRequest(query, search_texts)\n",
         "    )\n",
-        "  # Prepare the data for the table\n",
-        "  table_data = [\n",
-        "    (result['score'], result['text']) \n",
-        "    for result in re_ranked_results\n",
-        "  ]\n",
-        "  # print the table\n",
-        "  print(f\"Query: {query}\")\n",
-        "  headers = [\"Re-ranked Score\", \"Text\"]\n",
-        "  print(tabulate(table_data, headers=headers, tablefmt=\"grid\"))\n",
-        "  print(\"\\n\\n\")"
+        "\n",
+        "    # Prepare the data for the table\n",
+        "    table_data = [\n",
+        "        (result['score'], result['text']) \n",
+        "        for result in re_ranked_results\n",
+        "    ]\n",
+        "\n",
+        "    # Print the table\n",
+        "    print(f\"Query: {query}\")\n",
+        "    headers = [\"Re-ranked Score\", \"Text\"]\n",
+        "    print(tabulate(table_data, headers=headers, tablefmt=\"grid\"))\n",
+        "    print(\"\\n\\n\")"
       ]
     },
     {