HNSW.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yoUBaFnOx42S"
      },
      "source": [
        "## HNSW\n",
        "\n",
        "### Get data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BmHYmLZex6Dq",
        "outputId": "ff45755f-f892-40bb-89ba-10554d0ffc32"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Tr4n24qBzjGf",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e775a743-2bbc-436f-d06f-ed2646ae7994"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting faiss-cpu\n",
            "  Downloading faiss_cpu-1.7.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.6/17.6 MB\u001b[0m \u001b[31m159.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: faiss-cpu\n",
            "Successfully installed faiss-cpu-1.7.4\n"
          ]
        }
      ],
      "source": [
        "!pip install faiss-cpu --no-cache"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "juKeIxaQDw6D",
        "outputId": "7f8498e9-166d-4959-97b8-491d61b13553"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-3-c4b0e23d8ed7>:4: FutureWarning: Passing a negative integer is deprecated in version 1.0 and will not be supported in future version. Instead, use None to not limit the column width.\n",
            "  pd.set_option('display.max_colwidth', -1)\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import faiss\n",
        "pd.set_option('display.max_colwidth', -1)\n",
        "path = \"/content/gdrive/My Drive/data\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QJ_oi1ftyHJU"
      },
      "outputs": [],
      "source": [
        "train = pd.read_csv(path + \"/gensim/ag_news_train.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6eK-jlbsdFrT",
        "outputId": "9ef6a1de-2db0-4b7b-fc6a-dc165a021590"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(120000, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "train.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 201
        },
        "id": "7xJiE3AQyOSr",
        "outputId": "81892f20-b838-4f95-f3a2-dba81da57bd8"
      },
      "outputs": [
        {
          "output_type": "execute_result",
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              "   Class Index  \\\n",
              "0  3             \n",
              "1  3             \n",
              "2  3             \n",
              "3  3             \n",
              "4  3             \n",
              "\n",
              "                                                                       Title  \\\n",
              "0  Wall St. Bears Claw Back Into the Black (Reuters)                           \n",
              "1  Carlyle Looks Toward Commercial Aerospace (Reuters)                         \n",
              "2  Oil and Economy Cloud Stocks' Outlook (Reuters)                             \n",
              "3  Iraq Halts Oil Exports from Main Southern Pipeline (Reuters)                \n",
              "4  Oil prices soar to all-time record, posing new menace to US economy (AFP)   \n",
              "\n",
              "                                                                                                                                                                                                              Description  \n",
              "0  Reuters - Short-sellers, Wall Street's dwindling\\band of ultra-cynics, are seeing green again.                                                                                                                          \n",
              "1  Reuters - Private investment firm Carlyle Group,\\which has a reputation for making well-timed and occasionally\\controversial plays in the defense industry, has quietly placed\\its bets on another part of the market.  \n",
              "2  Reuters - Soaring crude prices plus worries\\about the economy and the outlook for earnings are expected to\\hang over the stock market next week during the depth of the\\summer doldrums.                                \n",
              "3  Reuters - Authorities have halted oil export\\flows from the main pipeline in southern Iraq after\\intelligence showed a rebel militia could strike\\infrastructure, an oil official said on Saturday.                     \n",
              "4  AFP - Tearaway world oil prices, toppling records and straining wallets, present a new economic menace barely three months before the US presidential elections.                                                        "
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              "      <td>Reuters - Short-sellers, Wall Street's dwindling\\band of ultra-cynics, are seeing green again.</td>\n",
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              "      <td>Carlyle Looks Toward Commercial Aerospace (Reuters)</td>\n",
              "      <td>Reuters - Private investment firm Carlyle Group,\\which has a reputation for making well-timed and occasionally\\controversial plays in the defense industry, has quietly placed\\its bets on another part of the market.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Oil and Economy Cloud Stocks' Outlook (Reuters)</td>\n",
              "      <td>Reuters - Soaring crude prices plus worries\\about the economy and the outlook for earnings are expected to\\hang over the stock market next week during the depth of the\\summer doldrums.</td>\n",
              "    </tr>\n",
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              "      <td>3</td>\n",
              "      <td>Iraq Halts Oil Exports from Main Southern Pipeline (Reuters)</td>\n",
              "      <td>Reuters - Authorities have halted oil export\\flows from the main pipeline in southern Iraq after\\intelligence showed a rebel militia could strike\\infrastructure, an oil official said on Saturday.</td>\n",
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              "      <td>Oil prices soar to all-time record, posing new menace to US economy (AFP)</td>\n",
              "      <td>AFP - Tearaway world oil prices, toppling records and straining wallets, present a new economic menace barely three months before the US presidential elections.</td>\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
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            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "train.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train.columns"
      ],
      "metadata": {
        "id": "m9l92SIjTunb",
        "outputId": "7e573686-d76f-4fdf-f040-15c3530c5028",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Class Index', 'Title', 'Description'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train['Description'][0:5]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rys-peYDTjQI",
        "outputId": "f617e407-3b7a-49ab-a38f-b71c7ab7f233"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    Reuters - Short-sellers, Wall Street's dwindling\\band of ultra-cynics, are seeing green again.                                                                                                                        \n",
              "1    Reuters - Private investment firm Carlyle Group,\\which has a reputation for making well-timed and occasionally\\controversial plays in the defense industry, has quietly placed\\its bets on another part of the market.\n",
              "2    Reuters - Soaring crude prices plus worries\\about the economy and the outlook for earnings are expected to\\hang over the stock market next week during the depth of the\\summer doldrums.                              \n",
              "3    Reuters - Authorities have halted oil export\\flows from the main pipeline in southern Iraq after\\intelligence showed a rebel militia could strike\\infrastructure, an oil official said on Saturday.                   \n",
              "4    AFP - Tearaway world oil prices, toppling records and straining wallets, present a new economic menace barely three months before the US presidential elections.                                                      \n",
              "Name: Description, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "wL9sE2e3yt-Z"
      },
      "outputs": [],
      "source": [
        "sentences = train['Description'][0:10000]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DrppARxRyjrS",
        "outputId": "9c56c4d2-8cfc-4f29-a305-e11b8def325c"
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        {
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          "text": [
            "Collecting sentence_transformers\n",
            "  Downloading sentence-transformers-2.2.2.tar.gz (85 kB)\n",
            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/86.0 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━\u001b[0m \u001b[32m81.9/86.0 kB\u001b[0m \u001b[31m2.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.0/86.0 kB\u001b[0m \u001b[31m2.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting transformers<5.0.0,>=4.6.0 (from sentence_transformers)\n",
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            "Building wheels for collected packages: sentence_transformers\n",
            "  Building wheel for sentence_transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "Installing collected packages: sentencepiece, safetensors, huggingface-hub, tokenizers, transformers, sentence_transformers\n",
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          ]
        }
      ],
      "source": [
        "!pip install sentence_transformers\n",
        "from sentence_transformers import SentenceTransformer"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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        },
        {
          "output_type": "display_data",
          "data": {
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "b335994f115c4dba9d0fa67543ed0556"
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)cial_tokens_map.json:   0%|          | 0.00/112 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "1b7d95885fd9465499e72edc343b467f"
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)821d1/tokenizer.json:   0%|          | 0.00/466k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "79536244f86d425884d8591546556345"
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c3c1aedc0f9c4f3dac5da3f17914a619"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)8d01e821d1/vocab.txt:   0%|          | 0.00/232k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d875415cffb248a8b58f274d88dca958"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)1e821d1/modules.json:   0%|          | 0.00/229 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f39113f85c9744e8990f2f9879dcf7f0"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "model = SentenceTransformer('bert-base-nli-mean-tokens')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YjcWfxjCyRAX",
        "outputId": "d329d217-811d-4240-eb14-4ea310ae4f66"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10000, 768)"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "sentence_embeddings = model.encode(sentences)\n",
        "sentence_embeddings.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "tHYiYWy_y1Tu",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2385cb02-ad66-46f8-ca61-29caf962bbbd"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "10000"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ],
      "source": [
        "sentence_embeddings.shape[0]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oAg5v9El0Y9B"
      },
      "source": [
        "### Save embeddings"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "pGQe33DBy7CQ"
      },
      "outputs": [],
      "source": [
        "with open(path + '/AG_news.npy', 'wb') as file:\n",
        "    np.save(file, sentence_embeddings)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lT_gbGwb0RAX"
      },
      "source": [
        "### Load embeddings"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "g1Fn8A2bDRkp"
      },
      "outputs": [],
      "source": [
        "with open (path + '/AG_news.npy', 'rb') as f:\n",
        "    sentence_embeddings = np.load(f, allow_pickle=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vt86wHyCDRnL",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7da882d5-c926-43fc-d3c0-8d814dcee2eb"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10000, 768)"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "sentence_embeddings.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nq3BNeS8DRpt",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f5d48db4-98fe-4ee6-a532-4cdd4c2cf6d6"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[-0.26105028,  0.8585296 ,  0.03941074, ...,  1.0689917 ,\n",
              "         1.1770816 , -0.74388623],\n",
              "       [-0.2222097 , -0.03594436,  0.5209106 , ...,  0.15727971,\n",
              "        -0.3867779 ,  0.49948674],\n",
              "       [-0.3001758 , -0.41582862,  0.86036515, ..., -0.6246218 ,\n",
              "         0.52692914, -0.36817163],\n",
              "       [ 0.3295024 ,  0.22334357,  0.30229023, ..., -0.41823167,\n",
              "         0.01728885, -0.05920589],\n",
              "       [-0.22277102,  0.7840586 ,  0.2004052 , ..., -0.9121561 ,\n",
              "         0.2918987 , -0.12284964]], dtype=float32)"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ],
      "source": [
        "sentence_embeddings[0:5]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ziPXvjetDRsr",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bc045f19-583f-454c-b5f1-ce437bb75f26"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "768"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ],
      "source": [
        "dim = sentence_embeddings.shape[1]\n",
        "dim"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MVEqgSIV6KWa"
      },
      "source": [
        "### Build HNSW index"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "HdtvCPxR6JN-"
      },
      "outputs": [],
      "source": [
        "import faiss\n",
        "m = 32\n",
        "dim = 768\n",
        "\n",
        "# Creating the index.\n",
        "index = faiss.IndexHNSWFlat(dim, m)\n",
        "index.hnsw.efConstruction = 40         # Setting the value for efConstruction.\n",
        "index.hnsw.efSearch = 16               # Setting the value for efSearch."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ETpXXtrl6JQV"
      },
      "outputs": [],
      "source": [
        "index.add(sentence_embeddings)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "30uerTIN6JSb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a8cba836-8565-4198-94ae-cdc3d9706dfc"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "10000"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "source": [
        "index.ntotal"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "DgAP8lmA1Yqi",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e90017b3-e608-4ceb-800c-baf34e63bf09"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ],
      "source": [
        "# the HNSW index starts with no levels\n",
        "index.hnsw.max_level"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_0srxF121dsN",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2605d4c1-5292-404f-ac3d-d3f759079a8f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([   0, 9713,  280,    7])"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ],
      "source": [
        "levels = faiss.vector_to_array(index.hnsw.levels)\n",
        "np.bincount(levels)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "53U0aAcQ1vmT"
      },
      "source": [
        "### Search example 1:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {
        "id": "4NUB3u4A18M1"
      },
      "outputs": [],
      "source": [
        "qry1 = model.encode([\"economic booming and stock market\"])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "id": "c9iEZebw1iVr"
      },
      "outputs": [],
      "source": [
        "k=5\n",
        "d, I = index.search(qry1, k)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "id": "xCwI54IU5ODX",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "594a937e-e409-4321-f48f-8a06418df229"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1467 4838 4464 7461 8299]]\n"
          ]
        }
      ],
      "source": [
        "print(I)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "metadata": {
        "id": "eqTsoNwC5VF_",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "532098bd-8c11-472f-a188-022037a23b37"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1467 4838 4464 7461 8299]]\n",
            "CPU times: user 9.25 ms, sys: 0 ns, total: 9.25 ms\n",
            "Wall time: 8.98 ms\n"
          ]
        }
      ],
      "source": [
        "%%time\n",
        "d, I = index.search(qry1, k)\n",
        "print(I)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(d)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e19OWzIDfl3a",
        "outputId": "3b9169dd-ff0f-4c95-b2f2-fc97a94cc217"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[158.19066 163.69077 164.47517 164.64172 164.64172]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 54,
      "metadata": {
        "id": "R8jYMh7E7RzN",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9fa34dcc-5673-417b-97ce-0b1cfd733fdb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Rising oil prices are expected to hit China's growth rate this year.\n",
            "Developing countries are starting to flex their financial muscles and invest overseas.\n",
            "The Tehran Stock Exchange has performed magnificently, but the market's list of risks is outsized.\n",
            "Federal Express raised its earnings forecast, citing strong demand for its international express, ground and less-than-truckload services.\n",
            "Federal Express raised its earnings forecast, citing strong demand for its international express, ground and less-than-truckload services.\n"
          ]
        }
      ],
      "source": [
        "for i in I[0]:\n",
        "  print(train['Description'][i])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SISkEA10Caso"
      },
      "source": [
        "### Search example 2:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "adi-4Uk5C_8T"
      },
      "outputs": [],
      "source": [
        "qry2 = model.encode([\"Red sox won the game\"])\n",
        "k=5"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "83-e7ktM7eWI",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "41658efe-b6a0-49a5-e994-10318dcfb04d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[ 464 8517 6176 8810 8143]]\n",
            "CPU times: user 9.87 ms, sys: 0 ns, total: 9.87 ms\n",
            "Wall time: 13.8 ms\n"
          ]
        }
      ],
      "source": [
        "%%time\n",
        "d, I = index.search(qry2, k)\n",
        "print(I)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lZSg5V6gCl4q",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "be58ce70-b00b-4dd1-f156-f8d545e0cb84"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "John Olerud reveled in his return to Safeco Field by slapping a two-run single that lifted the Yankees and saved Esteban Loaiza from a defeat.\n",
            "Ted Lilly thoroughly enjoyed ending Boston #39;s six-game winning streak with a record performance. Lilly struck out a career-high 13 in a three-hitter, pitching the Blue Jays past Pedro Martinez and the Red Sox 3-0 Monday night.\n",
            "SAN DIEGO (Ticker) -- Josh Beckett helped himself to his first win in over three months. Beckett doubled in the sixth inning to tie the game and scored the go-ahead run on Juan Pierre  #39;s home run one batter \n",
            "Brendan Kingman #39;s sixth-inning single sent Australia to a 1-0 victory Tuesday over stunned Japan, putting the Aussies in the gold medal game.\n",
            "If they could have made the shutout last just one more inning, the unbeatable American softball team would have wound up with not only a third straight gold medal, but a feat that years from now will seem mythological.\n"
          ]
        }
      ],
      "source": [
        "for i in I[0]:\n",
        "  print(train['Description'][i])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xkHns8VFDz2n"
      },
      "outputs": [],
      "source": []
    }
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