Fastlite-old.ipynb

fastlite-old.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyN9rGMQbiKJtfM290dYmKUJ",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/alonsosilvaallende/9a304bf9514446c5a92b11445f084961/fastlite-old.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "DJp2vyPqsofq"
      },
      "outputs": [],
      "source": [
        "%pip install --quiet fastlite==0.0.4"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%pip install --quiet sqlite-utils-sqlite-vec"
      ],
      "metadata": {
        "id": "PDxy4glusqWc"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from fastlite import *\n",
        "from fastcore.utils import *\n",
        "from fastcore.net import urlsave"
      ],
      "metadata": {
        "id": "2wxzqdhcs7rJ"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "db = database(\":memory:\")"
      ],
      "metadata": {
        "id": "217JyF6Ktmgq"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "db.execute(f\"CREATE VIRTUAL TABLE vec_items USING vec0(embedding float[384])\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vdcGTHUTIsM3",
        "outputId": "0a9e3faf-1143-4f42-a950-5c6043025473"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<sqlite3.Cursor at 0x7d07bc52b240>"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    }
  ]
}