python-recipes/vector-search/01_redisvl.ipynb

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        "![Redis](https://redis.io/wp-content/uploads/2024/04/Logotype.svg?auto=webp&quality=85,75&width=120)\n",
        "# Vector Search with Redisvl\n",
        "## Let's Begin!\n",
        "<a href=\"https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/01_redisvl.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n"
      ]
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    {
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      "source": [
        "## Prepare data\n",
        "\n",
        "In this examples we will load a list of movie objects with the following attributes: `title`, `rating`, `description`, and `genre`.\n",
        "\n",
        "For the vector part of our vector search we will embed the description so that user's can search for movies that best match what they're looking for.\n",
        "\n",
        "**If you are running this notebook locally**, FYI you may not need to perform this step at all."
      ]
    },
    {
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      "execution_count": 1,
      "id": "b966a9b5",
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          "base_uri": "https://localhost:8080/"
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        "id": "b966a9b5",
        "outputId": "61565924-8e01-4411-fac7-82346bb10e87"
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          "text": [
            "Cloning into 'temp_repo'...\n",
            "remote: Enumerating objects: 384, done.\u001b[K\n",
            "remote: Counting objects: 100% (247/247), done.\u001b[K\n",
            "remote: Compressing objects: 100% (159/159), done.\u001b[K\n",
            "remote: Total 384 (delta 135), reused 153 (delta 74), pack-reused 137 (from 1)\u001b[K\n",
            "Receiving objects: 100% (384/384), 64.50 MiB | 15.56 MiB/s, done.\n",
            "Resolving deltas: 100% (159/159), done.\n"
          ]
        }
      ],
      "source": [
        "# NBVAL_SKIP\n",
        "!git clone https://github.com/redis-developer/redis-ai-resources.git temp_repo\n",
        "!mv temp_repo/python-recipes/vector-search/resources .\n",
        "!rm -rf temp_repo"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "19bdc2a5-2192-4f5f-bd6e-7c956fd0e230",
      "metadata": {
        "id": "19bdc2a5-2192-4f5f-bd6e-7c956fd0e230"
      },
      "source": [
        "## Packages"
      ]
    },
    {
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      "execution_count": 2,
      "id": "c620286e",
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        "colab": {
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            "\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/261.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m261.4/261.4 kB\u001b[0m \u001b[31m7.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/96.1 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m96.1/96.1 kB\u001b[0m \u001b[31m6.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.0/46.0 kB\u001b[0m \u001b[31m2.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.8/86.8 kB\u001b[0m \u001b[31m5.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
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        }
      ],
      "source": [
        "%pip install -q redis \"redisvl>=0.4.1\" numpy sentence-transformers pandas"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "323aec7f",
      "metadata": {
        "id": "323aec7f"
      },
      "source": [
        "## Install Redis Stack\n",
        "\n",
        "Later in this tutorial, Redis will be used to store, index, and query vector\n",
        "embeddings created from PDF document chunks. **We need to make sure we have a Redis\n",
        "instance available.\n",
        "\n",
        "#### For Colab\n",
        "Use the shell script below to download, extract, and install [Redis Stack](https://redis.io/docs/getting-started/install-stack/) directly from the Redis package archive."
      ]
    },
    {
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          "text": [
            "deb [signed-by=/usr/share/keyrings/redis-archive-keyring.gpg] https://packages.redis.io/deb jammy main\n",
            "Starting redis-stack-server, database path /var/lib/redis-stack\n"
          ]
        }
      ],
      "source": [
        "# NBVAL_SKIP\n",
        "%%sh\n",
        "curl -fsSL https://packages.redis.io/gpg | sudo gpg --dearmor -o /usr/share/keyrings/redis-archive-keyring.gpg\n",
        "echo \"deb [signed-by=/usr/share/keyrings/redis-archive-keyring.gpg] https://packages.redis.io/deb $(lsb_release -cs) main\" | sudo tee /etc/apt/sources.list.d/redis.list\n",
        "sudo apt-get update  > /dev/null 2>&1\n",
        "sudo apt-get install redis-stack-server  > /dev/null 2>&1\n",
        "redis-stack-server --daemonize yes"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "7c5dbaaf",
      "metadata": {
        "id": "7c5dbaaf"
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      "source": [
        "#### For Alternative Environments\n",
        "There are many ways to get the necessary redis-stack instance running\n",
        "1. On cloud, deploy a [FREE instance of Redis in the cloud](https://redis.com/try-free/). Or, if you have your\n",
        "own version of Redis Enterprise running, that works too!\n",
        "2. Per OS, [see the docs](https://redis.io/docs/latest/operate/oss_and_stack/install/install-stack/)\n",
        "3. With docker: `docker run -d --name redis-stack-server -p 6379:6379 redis/redis-stack-server:latest`"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "1d4499ae",
      "metadata": {
        "id": "1d4499ae"
      },
      "source": [
        "### Define the Redis Connection URL\n",
        "\n",
        "By default this notebook connects to the local instance of Redis Stack. **If you have your own Redis Enterprise instance** - replace REDIS_PASSWORD, REDIS_HOST and REDIS_PORT values with your own."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "aefda1d1",
      "metadata": {
        "id": "aefda1d1"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "\n",
        "# Replace values below with your own if using Redis Cloud instance\n",
        "REDIS_HOST = os.getenv(\"REDIS_HOST\", \"localhost\") # ex: \"redis-18374.c253.us-central1-1.gce.cloud.redislabs.com\"\n",
        "REDIS_PORT = os.getenv(\"REDIS_PORT\", \"6379\")      # ex: 18374\n",
        "REDIS_PASSWORD = os.getenv(\"REDIS_PASSWORD\", \"\")  # ex: \"1TNxTEdYRDgIDKM2gDfasupCADXXXX\"\n",
        "\n",
        "# If SSL is enabled on the endpoint, use rediss:// as the URL prefix\n",
        "REDIS_URL = f\"redis://:{REDIS_PASSWORD}@{REDIS_HOST}:{REDIS_PORT}\""
      ]
    },
    {
      "cell_type": "markdown",
      "id": "f8c6ef53",
      "metadata": {
        "id": "f8c6ef53"
      },
      "source": [
        "### Create redis client"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "370c1fcc",
      "metadata": {
        "id": "370c1fcc"
      },
      "outputs": [],
      "source": [
        "from redis import Redis\n",
        "\n",
        "client = Redis.from_url(REDIS_URL)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "jCXiuk9ZTN_K",
      "metadata": {
        "id": "jCXiuk9ZTN_K"
      },
      "source": [
        "### Load Data"
      ]
    },
    {
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      "id": "8d561462",
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              "    60% {\n",
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              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
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              "        document.querySelector('#' + key + ' button');\n",
              "      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",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
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              "        document.querySelector('#df-7d1a453c-ad32-43df-8f25-ff433123719a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "               title   genre  rating  \\\n",
              "0  Explosive Pursuit  action       7   \n",
              "1            Skyfall  action       8   \n",
              "2   Fast & Furious 9  action       6   \n",
              "3        Black Widow  action       7   \n",
              "4          John Wick  action       8   \n",
              "\n",
              "                                         description  \n",
              "0  A daring cop chases a notorious criminal acros...  \n",
              "1  James Bond returns to track down a dangerous n...  \n",
              "2  Dom and his crew face off against a high-tech ...  \n",
              "3  Natasha Romanoff confronts her dark past and f...  \n",
              "4  A retired hitman seeks vengeance against those...  "
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import json\n",
        "\n",
        "df = pd.read_json(\"resources/movies.json\")\n",
        "df.head()\n"
      ]
    },
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        "id": "bfiTJovpQX90",
        "outputId": "74602d14-31cb-48a1-84bd-5b31dc6c04e2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "20:41:17 sentence_transformers.SentenceTransformer INFO   Use pytorch device_name: cuda\n",
            "20:41:17 sentence_transformers.SentenceTransformer INFO   Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
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        },
        {
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              "version_minor": 0
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            "text/plain": [
              "config_sentence_transformers.json:   0%|          | 0.00/116 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
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            "text/plain": [
              "README.md:   0%|          | 0.00/10.7k [00:00<?, ?B/s]"
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            ]
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          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
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              "model_id": "ba490f372a344542a090605ee9f32709",
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            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
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        },
        {
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            ]
          },
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        {
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              "version_minor": 0
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            ]
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        },
        {
          "name": "stderr",
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          "text": [
            "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884\n",
            "  warnings.warn(\n"
          ]
        },
        {
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              "model_id": "e7c31aaa918d46f09964cd6757df9f14",
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              "version_minor": 0
            },
            "text/plain": [
              "1_Pooling/config.json:   0%|          | 0.00/190 [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "b31cd4f334134bc5bbdcb7350958f297",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Batches:   0%|          | 0/1 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from redisvl.utils.vectorize import HFTextVectorizer\n",
        "from tqdm.auto import tqdm\n",
        "\n",
        "\n",
        "hf = HFTextVectorizer(\"sentence-transformers/all-MiniLM-L6-v2\")\n",
        "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\"\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "Vl3SehnxQvXo",
      "metadata": {
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        "id": "Vl3SehnxQvXo",
        "outputId": "43ca3865-8b29-41c5-daca-8111a1d51b10"
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      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "19423ed277ec499fa9357086bbbb1c52",
              "version_major": 2,
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            "text/plain": [
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>title</th>\n",
              "      <th>genre</th>\n",
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              "      <th>vector</th>\n",
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              "      <th>0</th>\n",
              "      <td>Explosive Pursuit</td>\n",
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              "      <td>7</td>\n",
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              "      <td>Skyfall</td>\n",
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              "      <th>2</th>\n",
              "      <td>Fast &amp; Furious 9</td>\n",
              "      <td>action</td>\n",
              "      <td>6</td>\n",
              "      <td>Dom and his crew face off against a high-tech ...</td>\n",
              "      <td>b'\\x1c\\xa5\\xc7\\xbc\\xfa,\\xa2=*\\x19H\\xbcB\\xc6t\\x...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Black Widow</td>\n",
              "      <td>action</td>\n",
              "      <td>7</td>\n",
              "      <td>Natasha Romanoff confronts her dark past and f...</td>\n",
              "      <td>b'r\\xeb\\x85\\xbd\\x1c\\xcdo\\xbd\\x80\\xe8\\xc2\\xbb4\\...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>John Wick</td>\n",
              "      <td>action</td>\n",
              "      <td>8</td>\n",
              "      <td>A retired hitman seeks vengeance against those...</td>\n",
              "      <td>b'\\n=x\\xbb\\xf7.\\xc5=\\x83\\x85:;\\xd6\\xd0\\x94&lt;\\xc...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7ad2ba23-a9c1-48da-900d-d490d7813581')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-7ad2ba23-a9c1-48da-900d-d490d7813581 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-7ad2ba23-a9c1-48da-900d-d490d7813581');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\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",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-e65760fc-0dd1-43d8-a6d5-d9027039d6ac\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e65760fc-0dd1-43d8-a6d5-d9027039d6ac')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      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",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e65760fc-0dd1-43d8-a6d5-d9027039d6ac button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "               title   genre  rating  \\\n",
              "0  Explosive Pursuit  action       7   \n",
              "1            Skyfall  action       8   \n",
              "2   Fast & Furious 9  action       6   \n",
              "3        Black Widow  action       7   \n",
              "4          John Wick  action       8   \n",
              "\n",
              "                                         description  \\\n",
              "0  A daring cop chases a notorious criminal acros...   \n",
              "1  James Bond returns to track down a dangerous n...   \n",
              "2  Dom and his crew face off against a high-tech ...   \n",
              "3  Natasha Romanoff confronts her dark past and f...   \n",
              "4  A retired hitman seeks vengeance against those...   \n",
              "\n",
              "                                              vector  \n",
              "0  b'\\x99f|=2a\\n;\\x1d\\x92\\xb7;\\x1b\\xcb~\\xbd\\xb4d\\...  \n",
              "1  b'\\x99D\\x9e\\xbd-\\x9b\\x89\\xbc\\xe0\\x16\\x95\\xbc\\x...  \n",
              "2  b'\\x1c\\xa5\\xc7\\xbc\\xfa,\\xa2=*\\x19H\\xbcB\\xc6t\\x...  \n",
              "3  b'r\\xeb\\x85\\xbd\\x1c\\xcdo\\xbd\\x80\\xe8\\xc2\\xbb4\\...  \n",
              "4  b'\\n=x\\xbb\\xf7.\\xc5=\\x83\\x85:;\\xd6\\xd0\\x94<\\xc...  "
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "\n",
        "def texts_to_embeddings(texts):\n",
        "  return [np.array(embedding, dtype=np.float32).tobytes() for embedding in hf.embed_many(texts)]\n",
        "\n",
        "# Generate vector embeddings\n",
        "df[\"vector\"] = texts_to_embeddings(df[\"description\"].tolist())\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "d7e99897",
      "metadata": {
        "id": "d7e99897"
      },
      "source": [
        "## Define Redis index schema"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "2ac53ebd",
      "metadata": {
        "id": "2ac53ebd"
      },
      "outputs": [],
      "source": [
        "from redisvl.schema import IndexSchema\n",
        "from redisvl.index import SearchIndex\n",
        "\n",
        "index_name = \"movies\"\n",
        "\n",
        "schema = IndexSchema.from_dict({\n",
        "  \"index\": {\n",
        "    \"name\": index_name,\n",
        "  },\n",
        "  \"fields\": [\n",
        "    {\n",
        "        \"name\": \"title\",\n",
        "        \"type\": \"text\",\n",
        "    },\n",
        "    {\n",
        "        \"name\": \"description\",\n",
        "        \"type\": \"text\",\n",
        "    },\n",
        "    {\n",
        "        \"name\": \"genre\",\n",
        "        \"type\": \"tag\",\n",
        "        \"attrs\": {\n",
        "            \"sortable\": True\n",
        "        }\n",
        "    },\n",
        "    {\n",
        "        \"name\": \"rating\",\n",
        "        \"type\": \"numeric\",\n",
        "        \"attrs\": {\n",
        "            \"sortable\": True\n",
        "        }\n",
        "    },\n",
        "    {\n",
        "        \"name\": \"vector\",\n",
        "        \"type\": \"vector\",\n",
        "        \"attrs\": {\n",
        "            \"dims\": 384,\n",
        "            \"distance_metric\": \"cosine\",\n",
        "            \"algorithm\": \"hnsw\",\n",
        "            \"datatype\": \"float32\"\n",
        "        }\n",
        "    }\n",
        "  ]\n",
        "})\n",
        "\n",
        "\n",
        "index = SearchIndex(schema, client)\n",
        "index.create(overwrite=True, drop=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "24d3ea9c",
      "metadata": {
        "id": "24d3ea9c"
      },
      "source": [
        "## Populate index"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "169ebb93",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "169ebb93",
        "outputId": "0e2b0eea-c058-4ee0-8116-197a452b53e0"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['rvl:c2f305b7836a40bdafb7223184e26b5b',\n",
              " 'rvl:59d2b0bd431148e9b2c5516b8417eb75',\n",
              " 'rvl:299b8027b07446fda39ca8bf37789776',\n",
              " 'rvl:6406f177887f401b9ab4d45956e324ae',\n",
              " 'rvl:d051b98b40f64279b9dad13f7d4666ce',\n",
              " 'rvl:55a20aec9cb74e33ae9e2d8952bcde25',\n",
              " 'rvl:a5ef870f9a5b41b38e950ea0fa7a9f83',\n",
              " 'rvl:7dd3e91a505a40b8bd1cf50613e4179c',\n",
              " 'rvl:4545e847159f441d843611f05df01983',\n",
              " 'rvl:646f249d9ff646e7ae5b757cd6caad0a',\n",
              " 'rvl:5cbf956aa543497c8e0a4e2a08e7fa53',\n",
              " 'rvl:e3d4efbae7bd49e49300d0c0e1e54426',\n",
              " 'rvl:2dbf334c02854aaab87c196f47cb2729',\n",
              " 'rvl:1dfb97323ddc47fdbc07aaa299658c99',\n",
              " 'rvl:ca2c31d6ce8740ca9e2ce711c0d9ef56',\n",
              " 'rvl:d9ba373d3a174ed1a08d096de012f56d',\n",
              " 'rvl:1e52ad75779046578e9b05499f78ec92',\n",
              " 'rvl:19415f0c3b2646b3abbf994762486e4f',\n",
              " 'rvl:ac862266170c4ee8942bf76791056295',\n",
              " 'rvl:9161346ce4b645dca6833386cc05ade4']"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "index.load(df.to_dict(orient=\"records\"))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "id": "ae814790",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ae814790",
        "outputId": "d13768b9-a4b8-44a1-b26d-3f8e07f7afde"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'index_name': 'movies',\n",
              " 'index_options': [],\n",
              " 'index_definition': ['key_type',\n",
              "  'HASH',\n",
              "  'prefixes',\n",
              "  ['rvl'],\n",
              "  'default_score',\n",
              "  '1'],\n",
              " 'attributes': [['identifier',\n",
              "   'title',\n",
              "   'attribute',\n",
              "   'title',\n",
              "   'type',\n",
              "   'TEXT',\n",
              "   'WEIGHT',\n",
              "   '1'],\n",
              "  ['identifier',\n",
              "   'description',\n",
              "   'attribute',\n",
              "   'description',\n",
              "   'type',\n",
              "   'TEXT',\n",
              "   'WEIGHT',\n",
              "   '1'],\n",
              "  ['identifier',\n",
              "   'genre',\n",
              "   'attribute',\n",
              "   'genre',\n",
              "   'type',\n",
              "   'TAG',\n",
              "   'SEPARATOR',\n",
              "   ',',\n",
              "   'SORTABLE'],\n",
              "  ['identifier',\n",
              "   'rating',\n",
              "   'attribute',\n",
              "   'rating',\n",
              "   'type',\n",
              "   'NUMERIC',\n",
              "   'SORTABLE',\n",
              "   'UNF'],\n",
              "  ['identifier',\n",
              "   'vector',\n",
              "   'attribute',\n",
              "   'vector',\n",
              "   'type',\n",
              "   'VECTOR',\n",
              "   'algorithm',\n",
              "   'HNSW',\n",
              "   'data_type',\n",
              "   'FLOAT32',\n",
              "   'dim',\n",
              "   384,\n",
              "   'distance_metric',\n",
              "   'COSINE',\n",
              "   'M',\n",
              "   16,\n",
              "   'ef_construction',\n",
              "   200]],\n",
              " 'num_docs': 20,\n",
              " 'max_doc_id': 20,\n",
              " 'num_terms': 432,\n",
              " 'num_records': 583,\n",
              " 'inverted_sz_mb': '0.043068885803222656',\n",
              " 'vector_index_sz_mb': '1.7178497314453125',\n",
              " 'total_inverted_index_blocks': 436,\n",
              " 'offset_vectors_sz_mb': '5.283355712890625e-4',\n",
              " 'doc_table_size_mb': '0.001983642578125',\n",
              " 'sortable_values_size_mb': '0.00102996826171875',\n",
              " 'key_table_size_mb': '7.74383544921875e-4',\n",
              " 'tag_overhead_sz_mb': '5.53131103515625e-5',\n",
              " 'text_overhead_sz_mb': '0.0144195556640625',\n",
              " 'total_index_memory_sz_mb': '0.06429290771484375',\n",
              " 'geoshapes_sz_mb': '0',\n",
              " 'records_per_doc_avg': '29.149999618530273',\n",
              " 'bytes_per_record_avg': '77.46311950683594',\n",
              " 'offsets_per_term_avg': '0.9502573013305664',\n",
              " 'offset_bits_per_record_avg': '8',\n",
              " 'hash_indexing_failures': 0,\n",
              " 'total_indexing_time': '1.5219999551773071',\n",
              " 'indexing': 0,\n",
              " 'percent_indexed': '1',\n",
              " 'number_of_uses': 1,\n",
              " 'cleaning': 0,\n",
              " 'gc_stats': ['bytes_collected',\n",
              "  '0',\n",
              "  'total_ms_run',\n",
              "  '0',\n",
              "  'total_cycles',\n",
              "  '0',\n",
              "  'average_cycle_time_ms',\n",
              "  'nan',\n",
              "  'last_run_time_ms',\n",
              "  '0',\n",
              "  'gc_numeric_trees_missed',\n",
              "  '0',\n",
              "  'gc_blocks_denied',\n",
              "  '0'],\n",
              " 'cursor_stats': ['global_idle',\n",
              "  0,\n",
              "  'global_total',\n",
              "  0,\n",
              "  'index_capacity',\n",
              "  128,\n",
              "  'index_total',\n",
              "  0],\n",
              " 'dialect_stats': ['dialect_1',\n",
              "  0,\n",
              "  'dialect_2',\n",
              "  0,\n",
              "  'dialect_3',\n",
              "  0,\n",
              "  'dialect_4',\n",
              "  0],\n",
              " 'Index Errors': ['indexing failures',\n",
              "  0,\n",
              "  'last indexing error',\n",
              "  'N/A',\n",
              "  'last indexing error key',\n",
              "  'N/A'],\n",
              " 'field statistics': [['identifier',\n",
              "   'title',\n",
              "   'attribute',\n",
              "   'title',\n",
              "   'Index Errors',\n",
              "   ['indexing failures',\n",
              "    0,\n",
              "    'last indexing error',\n",
              "    'N/A',\n",
              "    'last indexing error key',\n",
              "    'N/A']],\n",
              "  ['identifier',\n",
              "   'description',\n",
              "   'attribute',\n",
              "   'description',\n",
              "   'Index Errors',\n",
              "   ['indexing failures',\n",
              "    0,\n",
              "    'last indexing error',\n",
              "    'N/A',\n",
              "    'last indexing error key',\n",
              "    'N/A']],\n",
              "  ['identifier',\n",
              "   'genre',\n",
              "   'attribute',\n",
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          "execution_count": 11,
          "metadata": {},
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      "source": [
        "index.info()"
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    {
      "cell_type": "markdown",
      "id": "87ba1dfd",
      "metadata": {
        "id": "87ba1dfd"
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      "source": [
        "## Index loaded now we can perform vector search\n",
        "\n",
        "### basic vector search"
      ]
    },
    {
      "cell_type": "code",
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            "text/plain": [
              "                                     id vector_distance             title  \\\n",
              "0  rvl:299b8027b07446fda39ca8bf37789776  0.685773432255  Fast & Furious 9   \n",
              "1  rvl:19415f0c3b2646b3abbf994762486e4f  0.801602959633     Despicable Me   \n",
              "2  rvl:d9ba373d3a174ed1a08d096de012f56d  0.812341988087   The Incredibles   \n",
              "\n",
              "  rating   genre  \n",
              "0      6  action  \n",
              "1      7  comedy  \n",
              "2      8  comedy  "
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from redisvl.query import VectorQuery\n",
        "\n",
        "user_query = \"High tech movies\"\n",
        "\n",
        "embedded_user_query = hf.embed(user_query)\n",
        "\n",
        "vec_query = VectorQuery(\n",
        "    vector=embedded_user_query,\n",
        "    vector_field_name=\"vector\",\n",
        "    num_results=3,\n",
        "    return_fields=[\"title\", \"rating\", \"genre\"],\n",
        "    return_score=True\n",
        ")\n",
        "\n",
        "result = index.query(vec_query)\n",
        "pd.DataFrame(result)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ef5e1997",
      "metadata": {
        "id": "ef5e1997"
      },
      "source": [
        "### Hybrid filter vector search\n",
        "\n",
        "Redis allows you to combine filter searches on fields within the index object allowing us to create more specific searches."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
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              "      <td>0.685773432255</td>\n",
              "      <td>Fast &amp; Furious 9</td>\n",
              "      <td>6</td>\n",
              "      <td>action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>rvl:55a20aec9cb74e33ae9e2d8952bcde25</td>\n",
              "      <td>0.820429563522</td>\n",
              "      <td>Mad Max: Fury Road</td>\n",
              "      <td>8</td>\n",
              "      <td>action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>rvl:c2f305b7836a40bdafb7223184e26b5b</td>\n",
              "      <td>0.851705253124</td>\n",
              "      <td>Explosive Pursuit</td>\n",
              "      <td>7</td>\n",
              "      <td>action</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-42896573-da8b-466e-b5fd-1ec6013d123c')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "      display:flex;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-42896573-da8b-466e-b5fd-1ec6013d123c button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-42896573-da8b-466e-b5fd-1ec6013d123c');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\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",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-25454c97-a93f-4303-951a-f7a26a7fdb11\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-25454c97-a93f-4303-951a-f7a26a7fdb11')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
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              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      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",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-25454c97-a93f-4303-951a-f7a26a7fdb11 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                                     id vector_distance               title  \\\n",
              "0  rvl:299b8027b07446fda39ca8bf37789776  0.685773432255    Fast & Furious 9   \n",
              "1  rvl:55a20aec9cb74e33ae9e2d8952bcde25  0.820429563522  Mad Max: Fury Road   \n",
              "2  rvl:c2f305b7836a40bdafb7223184e26b5b  0.851705253124   Explosive Pursuit   \n",
              "\n",
              "  rating   genre  \n",
              "0      6  action  \n",
              "1      8  action  \n",
              "2      7  action  "
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Search for top 3 movies specifically in the action genre\n",
        "\n",
        "from redisvl.query.filter import Tag\n",
        "\n",
        "user_query = \"High tech movies\"\n",
        "\n",
        "embedded_user_query = hf.embed(user_query)\n",
        "\n",
        "vec_query = VectorQuery(\n",
        "    vector=embedded_user_query,\n",
        "    vector_field_name=\"vector\",\n",
        "    num_results=3,\n",
        "    return_fields=[\"title\", \"rating\", \"genre\"],\n",
        "    return_score=True\n",
        ")\n",
        "\n",
        "tag_filter = Tag(\"genre\") == \"action\"\n",
        "\n",
        "vec_query.set_filter(tag_filter)\n",
        "\n",
        "result=index.query(vec_query)\n",
        "pd.DataFrame(result)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "id": "f59fff2c",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175,
          "referenced_widgets": [
            "7dbba4cad0974d6ababd0ab4beee1dc6",
            "53117c47f1014533aa66fca222d0bd7d",
            "c21811468b894887be430a4922160b56",
            "c98eee007a684da5b8df2862867b8981",
            "3201e3806241407b89484e84ec7f57b7",
            "9256693c110444a1bb9fa9f81a11409d",
            "c57b32b0f6e04614803109cff1d0340b",
            "901e9a3b48374688ace55dc848e45a13",
            "a439fdfdfa61485c9a9357545b003ae5",
            "90682203f6e74a7da55bafee82928f61",
            "cd1be9a72a3a4484aacdf6b24d621d5d"
          ]
        },
        "id": "f59fff2c",
        "outputId": "819aa1e9-c8fb-4229-da8d-e9e1590b1592"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "7dbba4cad0974d6ababd0ab4beee1dc6",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Batches:   0%|          | 0/1 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"pd\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"rvl:55a20aec9cb74e33ae9e2d8952bcde25\",\n          \"rvl:c2f305b7836a40bdafb7223184e26b5b\",\n          \"rvl:646f249d9ff646e7ae5b757cd6caad0a\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vector_distance\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"0.820429563522\",\n          \"0.851705253124\",\n          \"0.856359839439\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Mad Max: Fury Road\",\n          \"Explosive Pursuit\",\n          \"The Avengers\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"7\",\n          \"8\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genre\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"action\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-fb06ca37-573e-42f9-a1f9-6c98482cb332\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>vector_distance</th>\n",
              "      <th>title</th>\n",
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              "      <td>rvl:55a20aec9cb74e33ae9e2d8952bcde25</td>\n",
              "      <td>0.820429563522</td>\n",
              "      <td>Mad Max: Fury Road</td>\n",
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              "      <th>1</th>\n",
              "      <td>rvl:c2f305b7836a40bdafb7223184e26b5b</td>\n",
              "      <td>0.851705253124</td>\n",
              "      <td>Explosive Pursuit</td>\n",
              "      <td>7</td>\n",
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              "      <td>The Avengers</td>\n",
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              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
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              "      margin-bottom: 4px;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-fb06ca37-573e-42f9-a1f9-6c98482cb332 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-fb06ca37-573e-42f9-a1f9-6c98482cb332');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\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",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "\n",
              "\n",
              "<div id=\"df-504ea491-9a2d-484f-a265-5b517e0ac3ad\">\n",
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              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      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",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-504ea491-9a2d-484f-a265-5b517e0ac3ad button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                                     id vector_distance               title  \\\n",
              "0  rvl:55a20aec9cb74e33ae9e2d8952bcde25  0.820429563522  Mad Max: Fury Road   \n",
              "1  rvl:c2f305b7836a40bdafb7223184e26b5b  0.851705253124   Explosive Pursuit   \n",
              "2  rvl:646f249d9ff646e7ae5b757cd6caad0a  0.856359839439        The Avengers   \n",
              "\n",
              "  rating   genre  \n",
              "0      8  action  \n",
              "1      7  action  \n",
              "2      8  action  "
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Search for top 3 movies specifically in the action genre with ratings at or above a 7\n",
        "\n",
        "from redisvl.query.filter import Num\n",
        "\n",
        "user_query = \"High tech movies\"\n",
        "\n",
        "embedded_user_query = hf.embed(user_query)\n",
        "\n",
        "tag_filter = Tag(\"genre\") == \"action\"\n",
        "num_filter = Num(\"rating\") >= 7\n",
        "combined_filter = tag_filter & num_filter\n",
        "\n",
        "vec_query = VectorQuery(\n",
        "    vector=embedded_user_query,\n",
        "    vector_field_name=\"vector\",\n",
        "    num_results=3,\n",
        "    return_fields=[\"title\", \"rating\", \"genre\"],\n",
        "    return_score=True,\n",
        "    filter_expression=combined_filter\n",
        ")\n",
        "\n",
        "result = index.query(vec_query)\n",
        "pd.DataFrame(result)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "id": "7dab26c2",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 144,
          "referenced_widgets": [
            "9d7ae8d485214e80be6d383fa38fed2d",
            "4ec08ba49f014cb097deb5c508047142",
            "499b4f7f99114c4fa003b347b9c971c0",
            "69c7c165e13c4b7fb788a37e2b5a65ee",
            "c6f467fa83f84d30974894d774b42e12",
            "1f834b9f5e14465ab877836185e4ee52",
            "ef1efe74a7c549fca4bf1cf8ce39f696",
            "b90f3572accd459c914348a47924a349",
            "9b99a9c68013465f86adebda60bac0a5",
            "ccf4c1e6b2934021806d5fa7f7854665",
            "6f4eb3c30aec4a1dab2d2ae02d90ff5f"
          ]
        },
        "id": "7dab26c2",
        "outputId": "73da3327-0b76-4b12-e279-053466dded3b"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "9d7ae8d485214e80be6d383fa38fed2d",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Batches:   0%|          | 0/1 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"pd\",\n  \"rows\": 2,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"rvl:a5ef870f9a5b41b38e950ea0fa7a9f83\",\n          \"rvl:19415f0c3b2646b3abbf994762486e4f\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vector_distance\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"0.982345640659\",\n          \"0.801602959633\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"The Dark Knight\",\n          \"Despicable Me\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"9\",\n          \"7\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genre\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"action\",\n          \"comedy\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"description\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Batman faces off against the Joker, a criminal mastermind who threatens to plunge Gotham into chaos.\",\n          \"When a criminal mastermind uses a trio of orphan girls as pawns for a grand scheme, he finds their love is profoundly changing him for the better.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-c0c7842d-c9ca-45cf-bfc3-1be7eadb5551\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>vector_distance</th>\n",
              "      <th>title</th>\n",
              "      <th>rating</th>\n",
              "      <th>genre</th>\n",
              "      <th>description</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>rvl:19415f0c3b2646b3abbf994762486e4f</td>\n",
              "      <td>0.801602959633</td>\n",
              "      <td>Despicable Me</td>\n",
              "      <td>7</td>\n",
              "      <td>comedy</td>\n",
              "      <td>When a criminal mastermind uses a trio of orph...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>rvl:a5ef870f9a5b41b38e950ea0fa7a9f83</td>\n",
              "      <td>0.982345640659</td>\n",
              "      <td>The Dark Knight</td>\n",
              "      <td>9</td>\n",
              "      <td>action</td>\n",
              "      <td>Batman faces off against the Joker, a criminal...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c0c7842d-c9ca-45cf-bfc3-1be7eadb5551')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-c0c7842d-c9ca-45cf-bfc3-1be7eadb5551 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-c0c7842d-c9ca-45cf-bfc3-1be7eadb5551');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\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",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-d50f3a86-f65d-443c-adf7-6c38b8cae0f2\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d50f3a86-f65d-443c-adf7-6c38b8cae0f2')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      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",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-d50f3a86-f65d-443c-adf7-6c38b8cae0f2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                                     id vector_distance            title  \\\n",
              "0  rvl:19415f0c3b2646b3abbf994762486e4f  0.801602959633    Despicable Me   \n",
              "1  rvl:a5ef870f9a5b41b38e950ea0fa7a9f83  0.982345640659  The Dark Knight   \n",
              "\n",
              "  rating   genre                                        description  \n",
              "0      7  comedy  When a criminal mastermind uses a trio of orph...  \n",
              "1      9  action  Batman faces off against the Joker, a criminal...  "
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Search with full text search for movies that directly mention \"criminal mastermind\" in the description\n",
        "\n",
        "from redisvl.query.filter import Text\n",
        "\n",
        "user_query = \"High tech movies\"\n",
        "\n",
        "embedded_user_query = hf.embed(user_query)\n",
        "\n",
        "vec_query = VectorQuery(\n",
        "    vector=embedded_user_query,\n",
        "    vector_field_name=\"vector\",\n",
        "    num_results=3,\n",
        "    return_fields=[\"title\", \"rating\", \"genre\", \"description\"],\n",
        "    return_score=True\n",
        ")\n",
        "\n",
        "text_filter = Text(\"description\") == \"criminal mastermind\"\n",
        "\n",
        "vec_query.set_filter(text_filter)\n",
        "\n",
        "result = index.query(vec_query)\n",
        "pd.DataFrame(result)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "id": "e39e5e5c",
      "metadata": {
        "colab": {
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          "height": 175,
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        "id": "e39e5e5c",
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      "outputs": [
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              "model_id": "df43a7dba30347bfb287b83955ac102b",
              "version_major": 2,
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            "text/plain": [
              "Batches:   0%|          | 0/1 [00:00<?, ?it/s]"
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          },
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              "            title=\"Suggest charts\"\n",
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              "    border: 2px solid var(--fill-color);\n",
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              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
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              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      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",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
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              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                                     id vector_distance              title  \\\n",
              "0  rvl:19415f0c3b2646b3abbf994762486e4f  0.801602959633      Despicable Me   \n",
              "1  rvl:d9ba373d3a174ed1a08d096de012f56d  0.812341988087    The Incredibles   \n",
              "2  rvl:c2f305b7836a40bdafb7223184e26b5b  0.851705253124  Explosive Pursuit   \n",
              "\n",
              "  rating   genre                                        description  \n",
              "0      7  comedy  When a criminal mastermind uses a trio of orph...  \n",
              "1      8  comedy  A family of undercover superheroes, while tryi...  \n",
              "2      7  action  A daring cop chases a notorious criminal acros...  "
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Vector search with wildcard match\n",
        "\n",
        "from redisvl.query.filter import Text\n",
        "\n",
        "user_query = \"High tech movies\"\n",
        "\n",
        "embedded_user_query = hf.embed(user_query)\n",
        "\n",
        "vec_query = VectorQuery(\n",
        "    vector=embedded_user_query,\n",
        "    vector_field_name=\"vector\",\n",
        "    num_results=3,\n",
        "    return_fields=[\"title\", \"rating\", \"genre\", \"description\"],\n",
        "    return_score=True\n",
        ")\n",
        "\n",
        "text_filter = Text(\"description\") % \"crim*\"\n",
        "\n",
        "vec_query.set_filter(text_filter)\n",
        "\n",
        "result = index.query(vec_query)\n",
        "pd.DataFrame(result)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "id": "3450e07d",
      "metadata": {
        "colab": {
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          "height": 227,
          "referenced_widgets": [
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        "id": "3450e07d",
        "outputId": "beddb895-c637-4162-b16f-20f474af626c"
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      "outputs": [
        {
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              "Batches:   0%|          | 0/1 [00:00<?, ?it/s]"
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              "      <th>0</th>\n",
              "      <td>rvl:646f249d9ff646e7ae5b757cd6caad0a</td>\n",
              "      <td>0.737778425217</td>\n",
              "      <td>The Avengers</td>\n",
              "      <td>8</td>\n",
              "      <td>action</td>\n",
              "      <td>Earth's mightiest heroes come together to stop...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>rvl:6406f177887f401b9ab4d45956e324ae</td>\n",
              "      <td>0.768839836121</td>\n",
              "      <td>Black Widow</td>\n",
              "      <td>7</td>\n",
              "      <td>action</td>\n",
              "      <td>Natasha Romanoff confronts her dark past and f...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>rvl:9161346ce4b645dca6833386cc05ade4</td>\n",
              "      <td>0.897787928581</td>\n",
              "      <td>The Princess Diaries</td>\n",
              "      <td>6</td>\n",
              "      <td>comedy</td>\n",
              "      <td>Mia Thermopolis has just found out that she is...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-dbc76d4b-89d8-4192-acf2-7ac5579225dc')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-dbc76d4b-89d8-4192-acf2-7ac5579225dc button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-dbc76d4b-89d8-4192-acf2-7ac5579225dc');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\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",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-679e0e6b-2c66-47c8-94d0-e0570aad0d7f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-679e0e6b-2c66-47c8-94d0-e0570aad0d7f')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      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",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-679e0e6b-2c66-47c8-94d0-e0570aad0d7f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                                     id vector_distance                 title  \\\n",
              "0  rvl:646f249d9ff646e7ae5b757cd6caad0a  0.737778425217          The Avengers   \n",
              "1  rvl:6406f177887f401b9ab4d45956e324ae  0.768839836121           Black Widow   \n",
              "2  rvl:9161346ce4b645dca6833386cc05ade4  0.897787928581  The Princess Diaries   \n",
              "\n",
              "  rating   genre                                        description  \n",
              "0      8  action  Earth's mightiest heroes come together to stop...  \n",
              "1      7  action  Natasha Romanoff confronts her dark past and f...  \n",
              "2      6  comedy  Mia Thermopolis has just found out that she is...  "
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Vector search with fuzzy match filter\n",
        "\n",
        "from redisvl.query.filter import Text\n",
        "\n",
        "user_query = \"Movies with central main character\"\n",
        "\n",
        "embedded_user_query = hf.embed(user_query)\n",
        "\n",
        "vec_query = VectorQuery(\n",
        "    vector=embedded_user_query,\n",
        "    vector_field_name=\"vector\",\n",
        "    num_results=3,\n",
        "    return_fields=[\"title\", \"rating\", \"genre\", \"description\"],\n",
        "    return_score=True\n",
        ")\n",
        "\n",
        "# Note: fuzzy match is based on Levenshtein distance. Therefore, \"hero\" might return result for \"her\" as an example.\n",
        "# See docs for more info https://redis.io/docs/latest/develop/interact/search-and-query/advanced-concepts/query_syntax/\n",
        "text_filter = Text(\"description\") % \"%hero%\"\n",
        "\n",
        "vec_query.set_filter(text_filter)\n",
        "\n",
        "result = index.query(vec_query)\n",
        "pd.DataFrame(result)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "6bd27cb3",
      "metadata": {
        "id": "6bd27cb3"
      },
      "source": [
        "## Range queries\n",
        "\n",
        "Range queries allow you to set a pre defined \"threshold\" for which we want to return documents. This is helpful when you only want documents with a certain distance from the search query."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "id": "cafe1795",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269,
          "referenced_widgets": [
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            "30913dcc6c064ef0af0066f4c196a6c4",
            "79ccfa71187d47e6a5437b251064ab5e",
            "125823e2bcd8452b9b05336f932bc6c2",
            "6e5ea3f8267b4e76ab4e6040fcc814f4",
            "4b0b663070d845a78c230fb52d2740d7",
            "318e56ea3a794b81ab3c3267823e7d94",
            "d56ffff8b5ff4be582ea1e8bb618c66e",
            "9c1f2510d3d14bcf971b6ba2653aa35b"
          ]
        },
        "id": "cafe1795",
        "outputId": "bcd19e1d-8d42-4903-9e8b-3a2b4fa9bd43"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "9996600338104cc6baa3893e281edf60",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Batches:   0%|          | 0/1 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"pd\",\n  \"rows\": 6,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"rvl:d9ba373d3a174ed1a08d096de012f56d\",\n          \"rvl:6406f177887f401b9ab4d45956e324ae\",\n          \"rvl:2dbf334c02854aaab87c196f47cb2729\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vector_distance\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"0.644702494144\",\n          \"0.747987031937\",\n          \"0.778580188751\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"The Incredibles\",\n          \"Black Widow\",\n          \"Aladdin\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"7\",\n          \"8\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genre\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"action\",\n          \"comedy\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe"
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              "\n",
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              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "      <td>0.747987031937</td>\n",
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              "      <td>0.778580188751</td>\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "\n",
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              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
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              "\n",
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              "        document.querySelector('#df-04b1e0a8-5135-411e-933e-90916753f095 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-04b1e0a8-5135-411e-933e-90916753f095');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\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",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-c9a07def-09eb-4d95-b600-b32491f17e79\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c9a07def-09eb-4d95-b600-b32491f17e79')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      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",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c9a07def-09eb-4d95-b600-b32491f17e79 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                                     id vector_distance            title  \\\n",
              "0  rvl:d9ba373d3a174ed1a08d096de012f56d  0.644702494144  The Incredibles   \n",
              "1  rvl:6406f177887f401b9ab4d45956e324ae  0.747987031937      Black Widow   \n",
              "2  rvl:19415f0c3b2646b3abbf994762486e4f  0.750915527344    Despicable Me   \n",
              "3  rvl:ca2c31d6ce8740ca9e2ce711c0d9ef56  0.751298844814            Shrek   \n",
              "4  rvl:1e52ad75779046578e9b05499f78ec92  0.761669397354   Monsters, Inc.   \n",
              "5  rvl:2dbf334c02854aaab87c196f47cb2729  0.778580188751          Aladdin   \n",
              "\n",
              "  rating   genre  \n",
              "0      8  comedy  \n",
              "1      7  action  \n",
              "2      7  comedy  \n",
              "3      8  comedy  \n",
              "4      8  comedy  \n",
              "5      8  comedy  "
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from redisvl.query import RangeQuery\n",
        "\n",
        "user_query = \"Family friendly fantasy movies\"\n",
        "\n",
        "embedded_user_query = hf.embed(user_query)\n",
        "\n",
        "range_query = RangeQuery(\n",
        "    vector=embedded_user_query,\n",
        "    vector_field_name=\"vector\",\n",
        "    return_fields=[\"title\", \"rating\", \"genre\"],\n",
        "    return_score=True,\n",
        "    distance_threshold=0.8  # find all items with a semantic distance of less than 0.8\n",
        ")\n",
        "\n",
        "result = index.query(range_query)\n",
        "pd.DataFrame(result)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "a1586ea7",
      "metadata": {
        "id": "a1586ea7"
      },
      "source": [
        "Like the queries above, we can also chain additional filters and conditional operators with range queries. The following adds an `and` condition that returns vector search within the defined range and with a rating at or above 8."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "id": "d3110324",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 207,
          "referenced_widgets": [
            "0be6317ac95f4dada81f4f9627bee4ed",
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            "d724d841b85f4604960ef35f6470afcb",
            "9256c56484ae4755a8eb5c006b11bfe6",
            "7e74865689464603b5f2a155592694af",
            "a41e017955ae448690242185f54b9d98",
            "9aa40cdc28e145ff8ab21fc799881ac0",
            "6c177a2733884918998183495b79e098",
            "fd9112ea764341c7a20000b43d6de256",
            "e4f02e81598a42468fd1931d108cefef",
            "918932f636464b83be936aaf2062f0d8"
          ]
        },
        "id": "d3110324",
        "outputId": "266a0faf-8946-402d-f57b-7173ce0ab695"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "0be6317ac95f4dada81f4f9627bee4ed",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Batches:   0%|          | 0/1 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"pd\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"rvl:ca2c31d6ce8740ca9e2ce711c0d9ef56\",\n          \"rvl:2dbf334c02854aaab87c196f47cb2729\",\n          \"rvl:d9ba373d3a174ed1a08d096de012f56d\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vector_distance\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"0.751298844814\",\n          \"0.778580188751\",\n          \"0.644702494144\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Shrek\",\n          \"Aladdin\",\n          \"The Incredibles\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"8\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genre\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"comedy\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe"
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            "text/html": [
              "\n",
              "  <div id=\"df-c29a22ae-7d8c-49bb-96f9-f5019aea2e42\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>vector_distance</th>\n",
              "      <th>title</th>\n",
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              "      <td>rvl:d9ba373d3a174ed1a08d096de012f56d</td>\n",
              "      <td>0.644702494144</td>\n",
              "      <td>The Incredibles</td>\n",
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              "      <td>rvl:ca2c31d6ce8740ca9e2ce711c0d9ef56</td>\n",
              "      <td>0.751298844814</td>\n",
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              "      <td>comedy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>rvl:1e52ad75779046578e9b05499f78ec92</td>\n",
              "      <td>0.761669397354</td>\n",
              "      <td>Monsters, Inc.</td>\n",
              "      <td>8</td>\n",
              "      <td>comedy</td>\n",
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              "    <tr>\n",
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              "      <td>rvl:2dbf334c02854aaab87c196f47cb2729</td>\n",
              "      <td>0.778580188751</td>\n",
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              "      <td>comedy</td>\n",
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              "  </tbody>\n",
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              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-c29a22ae-7d8c-49bb-96f9-f5019aea2e42 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-c29a22ae-7d8c-49bb-96f9-f5019aea2e42');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\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",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-8ba5f562-fc39-41cf-a52c-29dfd57d1431\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8ba5f562-fc39-41cf-a52c-29dfd57d1431')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
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              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
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              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
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              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
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              "  }\n",
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              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
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              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      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",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8ba5f562-fc39-41cf-a52c-29dfd57d1431 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "                                     id vector_distance            title  \\\n",
              "0  rvl:d9ba373d3a174ed1a08d096de012f56d  0.644702494144  The Incredibles   \n",
              "1  rvl:ca2c31d6ce8740ca9e2ce711c0d9ef56  0.751298844814            Shrek   \n",
              "2  rvl:1e52ad75779046578e9b05499f78ec92  0.761669397354   Monsters, Inc.   \n",
              "3  rvl:2dbf334c02854aaab87c196f47cb2729  0.778580188751          Aladdin   \n",
              "\n",
              "  rating   genre  \n",
              "0      8  comedy  \n",
              "1      8  comedy  \n",
              "2      8  comedy  \n",
              "3      8  comedy  "
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "user_query = \"Family friendly fantasy movies\"\n",
        "\n",
        "embedded_user_query = hf.embed(user_query)\n",
        "\n",
        "range_query = RangeQuery(\n",
        "    vector=embedded_user_query,\n",
        "    vector_field_name=\"vector\",\n",
        "    return_fields=[\"title\", \"rating\", \"genre\"],\n",
        "    distance_threshold=0.8  # find all items with a semantic distance of less than 0.7\n",
        ")\n",
        "\n",
        "numeric_filter = Num(\"rating\") >= 8\n",
        "\n",
        "range_query.set_filter(numeric_filter)\n",
        "\n",
        "# in this case we want to do a simple filter search or the vector so we execute as a joint filter directly\n",
        "result = index.query(range_query)\n",
        "pd.DataFrame(result)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "5fa7cdfb",
      "metadata": {
        "id": "5fa7cdfb"
      },
      "source": [
        "### Next steps\n",
        "\n",
        "For more query examples with redisvl: [see here](https://github.com/redis/redis-vl-python/blob/main/docs/user_guide/hybrid_queries_02.ipynb)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "id": "915c2cef",
      "metadata": {
        "id": "915c2cef"
      },
      "outputs": [],
      "source": [
        "# clean up!\n",
        "# client.flushall()"
      ]
    }
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