{
  "cells": [
    {
      "cell_type": "markdown",
      "id": "cbba56a9",
      "metadata": {
        "id": "cbba56a9"
      },
      "source": [
        "![Redis](https://redis.io/wp-content/uploads/2024/04/Logotype.svg?auto=webp&quality=85,75&width=120)\n",
        "# Vector Search with RedisVL\n",
        "\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"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "0b80de6b",
      "metadata": {
        "id": "0b80de6b"
      },
      "source": [
        "## Prepare data\n",
        "\n",
        "In this examples we will load a list of movies with the following attributes: `title`, `rating`, `description`, and `genre`.\n",
        "\n",
        "We will embed the movie description so that user's can search for movies that best match the kind of movie that they're looking for.\n",
        "\n",
        "**If you are running this notebook locally**, FYI you may not need to perform this step at all."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "b966a9b5",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b966a9b5",
        "outputId": "8fb1aed9-94a3-47b2-af50-4eac9b08d7f1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Cloning into 'temp_repo'...\n",
            "remote: Enumerating objects: 669, done.\u001b[K\n",
            "remote: Counting objects: 100% (320/320), done.\u001b[K\n",
            "remote: Compressing objects: 100% (207/207), done.\u001b[K\n",
            "remote: Total 669 (delta 219), reused 141 (delta 112), pack-reused 349 (from 2)\u001b[K\n",
            "Receiving objects: 100% (669/669), 57.77 MiB | 20.61 MiB/s, done.\n",
            "Resolving deltas: 100% (287/287), 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"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c620286e",
      "metadata": {
        "id": "c620286e"
      },
      "outputs": [],
      "source": [
        "%pip install -q \"redisvl>=0.11.0\" sentence-transformers pandas nltk"
      ]
    },
    {
      "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."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "2cb85a99",
      "metadata": {
        "id": "2cb85a99"
      },
      "outputs": [],
      "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"
      },
      "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": 1,
      "id": "aefda1d1",
      "metadata": {
        "id": "aefda1d1"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import warnings\n",
        "\n",
        "warnings.filterwarnings('ignore')\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": 48,
      "id": "370c1fcc",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "370c1fcc",
        "outputId": "2b5297c6-83b7-468f-b2ac-c47acf13ba2e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "execution_count": 48,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from redis import Redis\n",
        "\n",
        "client = Redis.from_url(REDIS_URL)\n",
        "client.ping()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "H4w8c3Bevzq4",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H4w8c3Bevzq4",
        "outputId": "a4d3b9a4-adda-436e-9aef-b4b0120720ab"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#client.flushall()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "jCXiuk9ZTN_K",
      "metadata": {
        "id": "jCXiuk9ZTN_K"
      },
      "source": [
        "### Load Movies Dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "id": "8d561462",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 223
        },
        "id": "8d561462",
        "outputId": "75ae0f32-115f-427e-e426-9a018884e860"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Loaded 20 movie entries\n"
          ]
        },
        {
          "data": {
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              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 20,\n  \"fields\": [\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 20,\n        \"samples\": [\n          \"Explosive Pursuit\",\n          \"Despicable Me\",\n          \"The Incredibles\"\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          \"comedy\",\n          \"action\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 6,\n        \"max\": 9,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          8,\n          9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"description\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 20,\n        \"samples\": [\n          \"A daring cop chases a notorious criminal across the city in a high-stakes game of cat and mouse.\",\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}",
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              "    .colab-df-convert:hover {\n",
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              "    }\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",
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              "        document.querySelector('#df-918fd267-125d-4f88-bf24-a3a73afbd7f5 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
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              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
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              "\n",
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              "  }\n",
              "\n",
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              "    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",
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              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
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              "      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",
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              "      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-e1aed19e-ae4c-45a9-8dd1-f63a2a98dd6d 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": 49,
          "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",
        "print(\"Loaded\", len(df), \"movie entries\")\n",
        "\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "id": "bfiTJovpQX90",
      "metadata": {
        "id": "bfiTJovpQX90"
      },
      "outputs": [],
      "source": [
        "from redisvl.utils.vectorize import HFTextVectorizer\n",
        "from redisvl.extensions.cache.embeddings import EmbeddingsCache\n",
        "\n",
        "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\"\n",
        "\n",
        "\n",
        "hf = HFTextVectorizer(\n",
        "    model=\"sentence-transformers/all-MiniLM-L6-v2\",\n",
        "    cache=EmbeddingsCache(\n",
        "        name=\"embedcache\",\n",
        "        ttl=600,\n",
        "        redis_client=client,\n",
        "    )\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "id": "Vl3SehnxQvXo",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "Vl3SehnxQvXo",
        "outputId": "6b9f5555-dee7-4fd6-8dae-628919cfdc74"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 20,\n  \"fields\": [\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 20,\n        \"samples\": [\n          \"Explosive Pursuit\",\n          \"Despicable Me\",\n          \"The Incredibles\"\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          \"comedy\",\n          \"action\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 6,\n        \"max\": 9,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          8,\n          9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"description\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 20,\n        \"samples\": [\n          \"A daring cop chases a notorious criminal across the city in a high-stakes game of cat and mouse.\",\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      \"column\": \"vector\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 20,\n        \"samples\": [\n          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       ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "df"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-500ca84f-2943-44e7-b891-3603831d4423\" 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>title</th>\n",
              "      <th>genre</th>\n",
              "      <th>rating</th>\n",
              "      <th>description</th>\n",
              "      <th>vector</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Explosive Pursuit</td>\n",
              "      <td>action</td>\n",
              "      <td>7</td>\n",
              "      <td>A daring cop chases a notorious criminal acros...</td>\n",
              "      <td>b'\\x9bf|=\\na\\n;\\xbf\\x91\\xb7;\\x19\\xcb~\\xbd\\xd9d...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Skyfall</td>\n",
              "      <td>action</td>\n",
              "      <td>8</td>\n",
              "      <td>James Bond returns to track down a dangerous n...</td>\n",
              "      <td>b'\\x9aD\\x9e\\xbd0\\x9b\\x89\\xbc\\xc3\\x16\\x95\\xbc\\x...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <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'*\\xa5\\xc7\\xbc\\xf6,\\xa2=?\\x19H\\xbcK\\xc6t\\xbd\\...</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'u\\xeb\\x85\\xbd\\x0e\\xcdo\\xbd&amp;\\xe8\\xc2\\xbb6\\xcf...</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'\\xaf&lt;x\\xbb\\xfb.\\xc5=B\\x86:;\\xce\\xd0\\x94&lt;\\xf9...</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-500ca84f-2943-44e7-b891-3603831d4423')\"\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-500ca84f-2943-44e7-b891-3603831d4423 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-500ca84f-2943-44e7-b891-3603831d4423');\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-b9fa390c-e837-4cd5-9ca8-e5e0bcd135ca\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b9fa390c-e837-4cd5-9ca8-e5e0bcd135ca')\"\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-b9fa390c-e837-4cd5-9ca8-e5e0bcd135ca 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'\\x9bf|=\\na\\n;\\xbf\\x91\\xb7;\\x19\\xcb~\\xbd\\xd9d...  \n",
              "1  b'\\x9aD\\x9e\\xbd0\\x9b\\x89\\xbc\\xc3\\x16\\x95\\xbc\\x...  \n",
              "2  b'*\\xa5\\xc7\\xbc\\xf6,\\xa2=?\\x19H\\xbcK\\xc6t\\xbd\\...  \n",
              "3  b'u\\xeb\\x85\\xbd\\x0e\\xcdo\\xbd&\\xe8\\xc2\\xbb6\\xcf...  \n",
              "4  b'\\xaf<x\\xbb\\xfb.\\xc5=B\\x86:;\\xce\\xd0\\x94<\\xf9...  "
            ]
          },
          "execution_count": 51,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Generate vectors\n",
        "df[\"vector\"] = hf.embed_many(df[\"description\"].tolist(), as_buffer=True)\n",
        "\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "d7e99897",
      "metadata": {
        "id": "d7e99897"
      },
      "source": [
        "## Define Redis index schema"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "id": "2ac53ebd",
      "metadata": {
        "id": "2ac53ebd"
      },
      "outputs": [],
      "source": [
        "from redisvl.schema import IndexSchema\n",
        "from redisvl.index import SearchIndex\n",
        "\n",
        "\n",
        "index_name = \"movies\"\n",
        "\n",
        "schema = IndexSchema.from_dict({\n",
        "  \"index\": {\n",
        "    \"name\": index_name,\n",
        "    \"prefix\": index_name,\n",
        "    \"storage_type\": \"hash\"\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\": \"flat\",\n",
        "            \"datatype\": \"float32\"\n",
        "        }\n",
        "    }\n",
        "  ]\n",
        "})\n",
        "\n",
        "\n",
        "index = SearchIndex(schema, client)\n",
        "index.create(overwrite=True, drop=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "id": "kXbcEV-5BcE1",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kXbcEV-5BcE1",
        "outputId": "fb0fd245-9e1c-43a4-9102-60fcd6305f77"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "Index Information:\n",
            "╭──────────────┬────────────────┬────────────┬─────────────────┬────────────╮\n",
            "│ Index Name   │ Storage Type   │ Prefixes   │ Index Options   │   Indexing │\n",
            "├──────────────┼────────────────┼────────────┼─────────────────┼────────────┤\n",
            "│ movies       │ HASH           │ ['movies'] │ []              │          0 │\n",
            "╰──────────────┴────────────────┴────────────┴─────────────────┴────────────╯\n",
            "Index Fields:\n",
            "╭─────────────┬─────────────┬─────────┬────────────────┬────────────────┬────────────────┬────────────────┬────────────────┬────────────────┬─────────────────┬────────────────╮\n",
            "│ Name        │ Attribute   │ Type    │ Field Option   │ Option Value   │ Field Option   │ Option Value   │ Field Option   │   Option Value │ Field Option    │ Option Value   │\n",
            "├─────────────┼─────────────┼─────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────────────────┼────────────────┤\n",
            "│ title       │ title       │ TEXT    │ WEIGHT         │ 1              │                │                │                │                │                 │                │\n",
            "│ description │ description │ TEXT    │ WEIGHT         │ 1              │                │                │                │                │                 │                │\n",
            "│ genre       │ genre       │ TAG     │ SEPARATOR      │ ,              │                │                │                │                │                 │                │\n",
            "│ rating      │ rating      │ NUMERIC │ SORTABLE       │ UNF            │                │                │                │                │                 │                │\n",
            "│ vector      │ vector      │ VECTOR  │ algorithm      │ FLAT           │ data_type      │ FLOAT32        │ dim            │            384 │ distance_metric │ COSINE         │\n",
            "╰─────────────┴─────────────┴─────────┴────────────────┴────────────────┴────────────────┴────────────────┴────────────────┴────────────────┴─────────────────┴────────────────╯\n"
          ]
        }
      ],
      "source": [
        "!rvl index info -i movies -u {REDIS_URL}"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "24d3ea9c",
      "metadata": {
        "id": "24d3ea9c"
      },
      "source": [
        "## Populate index"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 54,
      "id": "169ebb93",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "169ebb93",
        "outputId": "303291ef-e9f9-4477-90a4-0dfafcb5cce3"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['movies:01JSHDN7Q4AHFG0J8D7Q8QS1BG',\n",
              " 'movies:01JSHDN7Q40Z6PQ3VQDBY80Q7A',\n",
              " 'movies:01JSHDN7Q4GG029M45HQY8Q5T2',\n",
              " 'movies:01JSHDN7Q4QFMK2MGNKJHTFT9E',\n",
              " 'movies:01JSHDN7Q4E7S8094JET0DHC5P',\n",
              " 'movies:01JSHDN7Q40QYH6Q6TD7ES4TSG',\n",
              " 'movies:01JSHDN7Q4ZG1SBF02A9SMV6DB',\n",
              " 'movies:01JSHDN7Q4YW9PSZ346M3N9JQ0',\n",
              " 'movies:01JSHDN7Q481PGAEDBX0QG75RP',\n",
              " 'movies:01JSHDN7Q4031K8AS44WJ3J9ZR',\n",
              " 'movies:01JSHDN7Q4FW8FEX1RTR92QSF7',\n",
              " 'movies:01JSHDN7Q4AS7C9VT582PWK14J',\n",
              " 'movies:01JSHDN7Q4H6JSC5Y2FKT7SWJ8',\n",
              " 'movies:01JSHDN7Q4W57N6NMRBG9FZY4E',\n",
              " 'movies:01JSHDN7Q4Y009NXBPM25YDZDV',\n",
              " 'movies:01JSHDN7Q4JARJS5Q4HQZ90RRX',\n",
              " 'movies:01JSHDN7Q4W21S96KMMBZ2X6KY',\n",
              " 'movies:01JSHDN7Q4W1NYVVAEBTV91X9X',\n",
              " 'movies:01JSHDN7Q4T84F0E8XQX82VY4Q',\n",
              " 'movies:01JSHDN7Q4W3ZWAJGWT7YQPKVR']"
            ]
          },
          "execution_count": 54,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "index.load(df.to_dict(orient=\"records\"))"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "87ba1dfd",
      "metadata": {
        "id": "87ba1dfd"
      },
      "source": [
        "## Search techniques\n",
        "\n",
        "### Standard vector search"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 55,
      "id": "9454e60d",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "9454e60d",
        "outputId": "c1903d62-7224-4b9b-e69f-2b6701a7368f"
      },
      "outputs": [
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            ],
            "text/plain": [
              "                                  id vector_distance               title  \\\n",
              "0  movies:01JSHDN7Q4GG029M45HQY8Q5T2   0.64973795414    Fast & Furious 9   \n",
              "1  movies:01JSHDN7Q40QYH6Q6TD7ES4TSG  0.763235092163  Mad Max: Fury Road   \n",
              "2  movies:01JSHDN7Q4AS7C9VT582PWK14J  0.792449712753      The Lego Movie   \n",
              "\n",
              "    genre  \n",
              "0  action  \n",
              "1  action  \n",
              "2  comedy  "
            ]
          },
          "execution_count": 55,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from redisvl.query import VectorQuery\n",
        "\n",
        "user_query = \"High tech and action packed movie\"\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\", \"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": [
        "### Vector search with filters\n",
        "\n",
        "Redis allows you to combine filter searches on fields within the index object allowing us to create more specific searches."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "kKCzyMUDDw10",
      "metadata": {
        "id": "kKCzyMUDDw10"
      },
      "source": [
        "Search for top 3 movies specifically in the action genre:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 56,
      "id": "d499dcad",
      "metadata": {
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          "height": 143
        },
        "id": "d499dcad",
        "outputId": "ab410048-da42-4b1e-a5fb-fbd6430ba437"
      },
      "outputs": [
        {
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            ],
            "text/plain": [
              "                                  id vector_distance               title  \\\n",
              "0  movies:01JSHDN7Q4GG029M45HQY8Q5T2   0.64973795414    Fast & Furious 9   \n",
              "1  movies:01JSHDN7Q40QYH6Q6TD7ES4TSG  0.763235092163  Mad Max: Fury Road   \n",
              "2  movies:01JSHDN7Q4AHFG0J8D7Q8QS1BG  0.796153008938   Explosive Pursuit   \n",
              "\n",
              "    genre  \n",
              "0  action  \n",
              "1  action  \n",
              "2  action  "
            ]
          },
          "execution_count": 56,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from redisvl.query.filter import Tag\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": "markdown",
      "id": "YAh3GDS4Dudu",
      "metadata": {
        "id": "YAh3GDS4Dudu"
      },
      "source": [
        "Search for top 3 movies specifically in the action genre with ratings at or above a 7:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 57,
      "id": "f59fff2c",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "f59fff2c",
        "outputId": "d6909c59-a947-4e58-a13a-8d0c2169a6b3"
      },
      "outputs": [
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              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b94e590d-4e53-43a0-83d9-98a6f9c8d10a')\"\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-b94e590d-4e53-43a0-83d9-98a6f9c8d10a 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  movies:01JSHDN7Q40QYH6Q6TD7ES4TSG  0.763235092163  Mad Max: Fury Road   \n",
              "1  movies:01JSHDN7Q4AHFG0J8D7Q8QS1BG  0.796153008938   Explosive Pursuit   \n",
              "2  movies:01JSHDN7Q481PGAEDBX0QG75RP   0.87649422884           Inception   \n",
              "\n",
              "  rating   genre  \n",
              "0      8  action  \n",
              "1      7  action  \n",
              "2      9  action  "
            ]
          },
          "execution_count": 57,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from redisvl.query.filter import Num\n",
        "\n",
        "# build combined filter expressions\n",
        "tag_filter = Tag(\"genre\") == \"action\"\n",
        "num_filter = Num(\"rating\") >= 7\n",
        "combined_filter = tag_filter & num_filter\n",
        "\n",
        "# build vector query\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": "markdown",
      "id": "yJ6TkwEVDsbN",
      "metadata": {
        "id": "yJ6TkwEVDsbN"
      },
      "source": [
        "Search with full text search for movies that directly mention \"criminal mastermind\" in the description:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 58,
      "id": "7dab26c2",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 146
        },
        "id": "7dab26c2",
        "outputId": "da366f10-d07d-4a1e-8da5-725e6a37827a"
      },
      "outputs": [
        {
          "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          \"movies:01JSHDN7Q4ZG1SBF02A9SMV6DB\",\n          \"movies:01JSHDN7Q4W1NYVVAEBTV91X9X\"\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          \"0.990856587887\",\n          \"0.827254056931\"\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-21f0c740-bc16-4ddc-8ad1-0946822d9ca5\" 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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              "  <thead>\n",
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              "      <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>movies:01JSHDN7Q4W1NYVVAEBTV91X9X</td>\n",
              "      <td>0.827254056931</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>movies:01JSHDN7Q4ZG1SBF02A9SMV6DB</td>\n",
              "      <td>0.990856587887</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-21f0c740-bc16-4ddc-8ad1-0946822d9ca5')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\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-21f0c740-bc16-4ddc-8ad1-0946822d9ca5 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-21f0c740-bc16-4ddc-8ad1-0946822d9ca5');\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-1cd1efa0-4f66-43fa-93c2-59b47c0d2ef8\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1cd1efa0-4f66-43fa-93c2-59b47c0d2ef8')\"\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-1cd1efa0-4f66-43fa-93c2-59b47c0d2ef8 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 rating  \\\n",
              "0  movies:01JSHDN7Q4W1NYVVAEBTV91X9X  0.827254056931    Despicable Me      7   \n",
              "1  movies:01JSHDN7Q4ZG1SBF02A9SMV6DB  0.990856587887  The Dark Knight      9   \n",
              "\n",
              "    genre                                        description  \n",
              "0  comedy  When a criminal mastermind uses a trio of orph...  \n",
              "1  action  Batman faces off against the Joker, a criminal...  "
            ]
          },
          "execution_count": 58,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from redisvl.query.filter import Text\n",
        "\n",
        "text_filter = Text(\"description\") % \"criminal mastermind\"\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",
        "    filter_expression=text_filter\n",
        ")\n",
        "\n",
        "result = index.query(vec_query)\n",
        "pd.DataFrame(result)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "UWQkD69fECJv",
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        "Vector search with wildcard text match:\n"
      ]
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            "text/plain": [
              "                                  id vector_distance              title  \\\n",
              "0  movies:01JSHDN7Q4AHFG0J8D7Q8QS1BG  0.796153008938  Explosive Pursuit   \n",
              "1  movies:01JSHDN7Q4JARJS5Q4HQZ90RRX  0.807471334934    The Incredibles   \n",
              "2  movies:01JSHDN7Q4W1NYVVAEBTV91X9X  0.827254056931      Despicable Me   \n",
              "\n",
              "  rating   genre                                        description  \n",
              "0      7  action  A daring cop chases a notorious criminal acros...  \n",
              "1      8  comedy  A family of undercover superheroes, while tryi...  \n",
              "2      7  comedy  When a criminal mastermind uses a trio of orph...  "
            ]
          },
          "execution_count": 59,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "text_filter = Text(\"description\") % \"crim*\"\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",
        "    filter_expression=text_filter\n",
        ")\n",
        "\n",
        "result = index.query(vec_query)\n",
        "pd.DataFrame(result)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "CGyNAr70EGLg",
      "metadata": {
        "id": "CGyNAr70EGLg"
      },
      "source": [
        "Vector search with fuzzy match filter\n",
        "\n",
        "> Note: fuzzy match is based on Levenshtein distance. Therefore, \"hero\" might return result for \"her\" as an example.\n",
        "\n",
        "See docs for more info https://redis.io/docs/latest/develop/interact/search-and-query/advanced-concepts/query_syntax/\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 60,
      "id": "3450e07d",
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              "      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-75e60a29-5dcd-4d66-84f5-d5b02a2dfed0 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-75e60a29-5dcd-4d66-84f5-d5b02a2dfed0');\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-b2f33037-8801-4625-9a4a-d4f9d65193d0\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b2f33037-8801-4625-9a4a-d4f9d65193d0')\"\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-b2f33037-8801-4625-9a4a-d4f9d65193d0 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  movies:01JSHDN7Q4QFMK2MGNKJHTFT9E  0.889985799789           Black Widow   \n",
              "1  movies:01JSHDN7Q4031K8AS44WJ3J9ZR  0.893866717815          The Avengers   \n",
              "2  movies:01JSHDN7Q4W3ZWAJGWT7YQPKVR  0.943198204041  The Princess Diaries   \n",
              "\n",
              "  rating   genre                                        description  \n",
              "0      7  action  Natasha Romanoff confronts her dark past and f...  \n",
              "1      8  action  Earth's mightiest heroes come together to stop...  \n",
              "2      6  comedy  Mia Thermopolis has just found out that she is...  "
            ]
          },
          "execution_count": 60,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "\n",
        "text_filter = Text(\"description\") % \"%hero%\"\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",
        "    filter_expression=text_filter\n",
        ")\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 distance \"threshold\" for which we want to return documents. This is helpful when you only want documents with a certain \"radius\" from the search query."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 61,
      "id": "cafe1795",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "cafe1795",
        "outputId": "c86063ac-e0e5-4975-c08a-2b8cc71c8f79"
      },
      "outputs": [
        {
          "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          \"movies:01JSHDN7Q4JARJS5Q4HQZ90RRX\",\n          \"movies:01JSHDN7Q4QFMK2MGNKJHTFT9E\",\n          \"movies:01JSHDN7Q4H6JSC5Y2FKT7SWJ8\"\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          \"0.778580129147\"\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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            "text/html": [
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      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",
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              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-4f55d8fd-390c-41d5-871a-7d1a0bd95b7f 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-4f55d8fd-390c-41d5-871a-7d1a0bd95b7f');\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",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
              "\n",
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              "            title=\"Suggest charts\"\n",
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              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --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",
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              "    background-color: var(--disabled-bg-color);\n",
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              "    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",
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              "      border-bottom-color: var(--fill-color);\n",
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              "  </script>\n",
              "</div>\n",
              "\n",
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              "  </div>\n"
            ],
            "text/plain": [
              "                                  id vector_distance            title rating  \\\n",
              "0  movies:01JSHDN7Q4JARJS5Q4HQZ90RRX  0.644702494144  The Incredibles      8   \n",
              "1  movies:01JSHDN7Q4QFMK2MGNKJHTFT9E  0.747987031937      Black Widow      7   \n",
              "2  movies:01JSHDN7Q4W1NYVVAEBTV91X9X  0.750915527344    Despicable Me      7   \n",
              "3  movies:01JSHDN7Q4Y009NXBPM25YDZDV  0.751298904419            Shrek      8   \n",
              "4  movies:01JSHDN7Q4W21S96KMMBZ2X6KY  0.761669397354   Monsters, Inc.      8   \n",
              "5  movies:01JSHDN7Q4H6JSC5Y2FKT7SWJ8  0.778580129147          Aladdin      8   \n",
              "\n",
              "    genre  \n",
              "0  comedy  \n",
              "1  action  \n",
              "2  comedy  \n",
              "3  comedy  \n",
              "4  comedy  \n",
              "5  comedy  "
            ]
          },
          "execution_count": 61,
          "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": 62,
      "id": "d3110324",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 174
        },
        "id": "d3110324",
        "outputId": "dff98df9-60ea-4325-f1c9-1e57c5139014"
      },
      "outputs": [
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              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
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              "  </div>\n"
            ],
            "text/plain": [
              "                                  id vector_distance            title rating  \\\n",
              "0  movies:01JSHDN7Q4JARJS5Q4HQZ90RRX  0.644702494144  The Incredibles      8   \n",
              "1  movies:01JSHDN7Q4Y009NXBPM25YDZDV  0.751298904419            Shrek      8   \n",
              "2  movies:01JSHDN7Q4W21S96KMMBZ2X6KY  0.761669397354   Monsters, Inc.      8   \n",
              "3  movies:01JSHDN7Q4H6JSC5Y2FKT7SWJ8  0.778580129147          Aladdin      8   \n",
              "\n",
              "    genre  \n",
              "0  comedy  \n",
              "1  comedy  \n",
              "2  comedy  \n",
              "3  comedy  "
            ]
          },
          "execution_count": 62,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "range_query = RangeQuery(\n",
        "    vector=embedded_user_query,\n",
        "    vector_field_name=\"vector\",\n",
        "    return_fields=[\"title\", \"rating\", \"genre\"],\n",
        "    distance_threshold=0.8\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": "qABIlUpQE4lT",
      "metadata": {
        "id": "qABIlUpQE4lT"
      },
      "source": [
        "### Full text search"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 74,
      "id": "AOU0Sqx3FCFN",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 174
        },
        "id": "AOU0Sqx3FCFN",
        "outputId": "eba96774-147f-4f8f-901f-abc9dc53cf48"
      },
      "outputs": [
        {
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>title</th>\n",
              "      <th>score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Fast &amp; Furious 9</td>\n",
              "      <td>5.157032</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>The Incredibles</td>\n",
              "      <td>4.022877</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Explosive Pursuit</td>\n",
              "      <td>2.335427</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Toy Story</td>\n",
              "      <td>1.630097</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-6e44f992-f11e-4455-8ab0-38b43fe4ccbd')\"\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-6e44f992-f11e-4455-8ab0-38b43fe4ccbd 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-6e44f992-f11e-4455-8ab0-38b43fe4ccbd');\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-c502534c-98dd-4f65-8373-27ee9116c32e\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c502534c-98dd-4f65-8373-27ee9116c32e')\"\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-c502534c-98dd-4f65-8373-27ee9116c32e 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     score\n",
              "0   Fast & Furious 9  5.157032\n",
              "1    The Incredibles  4.022877\n",
              "2  Explosive Pursuit  2.335427\n",
              "3          Toy Story  1.630097"
            ]
          },
          "execution_count": 74,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from redisvl.query import TextQuery\n",
        "\n",
        "user_query = \"High tech, action packed, superheros fight scenes\"\n",
        "\n",
        "text_query = TextQuery(\n",
        "    text=user_query,\n",
        "    text_field_name=\"description\",\n",
        "    text_scorer=\"BM25STD\",\n",
        "    num_results=20,\n",
        "    return_fields=[\"title\", \"description\"],\n",
        ")\n",
        "\n",
        "result = index.query(text_query)[:4]\n",
        "pd.DataFrame(result)[[\"title\", \"score\"]]"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "pIZ-RiuyFAJP",
      "metadata": {
        "id": "pIZ-RiuyFAJP"
      },
      "source": [
        "### Hybrid search"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 77,
      "id": "fjJwWyQe02T1",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 174
        },
        "id": "fjJwWyQe02T1",
        "outputId": "399a0f70-089c-4d82-968c-1cc0adf0e7fb"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"pd\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Fast & Furious 9\",\n          \"Black Widow\",\n          \"The Incredibles\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"vector_similarity\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"0.537397742271\",\n          \"0.626006484032\",\n          \"0.677648752928\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"text_score\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"0.498220622181\",\n          \"0\",\n          \"0.398671082609\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hybrid_score\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"0.525644606244\",\n          \"0.438204538822\",\n          \"0.593955451832\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-ccedb171-770a-44ef-91a8-3308ac5086ff\" 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",
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              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>title</th>\n",
              "      <th>vector_similarity</th>\n",
              "      <th>text_score</th>\n",
              "      <th>hybrid_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>The Incredibles</td>\n",
              "      <td>0.677648752928</td>\n",
              "      <td>0.398671082609</td>\n",
              "      <td>0.593955451832</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Fast &amp; Furious 9</td>\n",
              "      <td>0.537397742271</td>\n",
              "      <td>0.498220622181</td>\n",
              "      <td>0.525644606244</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Toy Story</td>\n",
              "      <td>0.553009659052</td>\n",
              "      <td>0.213523123792</td>\n",
              "      <td>0.451163698474</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Black Widow</td>\n",
              "      <td>0.626006484032</td>\n",
              "      <td>0</td>\n",
              "      <td>0.438204538822</td>\n",
              "    </tr>\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
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              "      background-color: #E2EBFA;\n",
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              "      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",
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              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-ccedb171-770a-44ef-91a8-3308ac5086ff 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-ccedb171-770a-44ef-91a8-3308ac5086ff');\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",
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              "\n",
              "\n",
              "<div id=\"df-19cd4107-8dc4-4413-85e6-59f156459080\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-19cd4107-8dc4-4413-85e6-59f156459080')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
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              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\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",
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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",
              "      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-19cd4107-8dc4-4413-85e6-59f156459080 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 vector_similarity      text_score    hybrid_score\n",
              "0   The Incredibles    0.677648752928  0.398671082609  0.593955451832\n",
              "1  Fast & Furious 9    0.537397742271  0.498220622181  0.525644606244\n",
              "2         Toy Story    0.553009659052  0.213523123792  0.451163698474\n",
              "3       Black Widow    0.626006484032               0  0.438204538822"
            ]
          },
          "execution_count": 77,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from redisvl.query import AggregateHybridQuery\n",
        "\n",
        "hybrid_query = AggregateHybridQuery(\n",
        "    text=user_query,\n",
        "    text_field_name=\"description\",\n",
        "    text_scorer=\"BM25\",\n",
        "    vector=embedded_user_query,\n",
        "    vector_field_name=\"vector\",\n",
        "    alpha=0.7,\n",
        "    num_results=20,\n",
        "    return_fields=[\"title\", \"description\"],\n",
        ")\n",
        "\n",
        "result = index.query(hybrid_query)[:4]\n",
        "pd.DataFrame(result)[[\"title\", \"vector_similarity\", \"text_score\", \"hybrid_score\"]]"
      ]
    },
    {
      "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/02_hybrid_queries.ipynb)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 78,
      "id": "915c2cef",
      "metadata": {
        "id": "915c2cef"
      },
      "outputs": [],
      "source": [
        "# clean up!\n",
        "index.delete()"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "T4",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.11.9"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}