13-multilingual-rag-search/L4_Objects_Vectors.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7b91d206-39f3-4064-8692-d29d59c86303",
   "metadata": {},
   "source": [
    "## Vector Database setup"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "346ea881-5faa-4d7f-b317-3b51a3d2bc15",
   "metadata": {},
   "source": [
    "Remove old Weaviate DB files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "010cae0d-c7c6-4cf0-aab5-e1b149d27be6",
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "!rm -rf ~/.local/share/weaviate"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e4f866a-f746-4c88-8468-81ed859dfdad",
   "metadata": {},
   "source": [
    "\n",
    "### Step 1 - Download sample data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f8d8b55a",
   "metadata": {
    "height": 251
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'list'> 10\n",
      "{\n",
      "  \"Category\": \"SCIENCE\",\n",
      "  \"Question\": \"This organ removes excess glucose from the blood & stores it as glycogen\",\n",
      "  \"Answer\": \"Liver\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "import json\n",
    "\n",
    "# Download the data\n",
    "resp = requests.get('https://raw.githubusercontent.com/weaviate-tutorials/quickstart/main/data/jeopardy_tiny.json')\n",
    "data = json.loads(resp.text)  # Load data\n",
    "\n",
    "# Parse the JSON and preview it\n",
    "print(type(data), len(data))\n",
    "\n",
    "def json_print(data):\n",
    "    print(json.dumps(data, indent=2))\n",
    "\n",
    "json_print(data[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c56b4975-bce1-4805-8369-e680d28cf9a9",
   "metadata": {},
   "source": [
    "### Step 2 - Create an embedded instance of Weaviate vector database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1504f6fc-c41a-4c53-966a-4bdb0ac02dcc",
   "metadata": {
    "height": 285
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "embedded weaviate is already listening on port 8079\n",
      "Embedded weaviate wasn't listening on port 8079, so starting embedded weaviate again\n",
      "Started /home/jovyan/.cache/weaviate-embedded: process ID 95\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.9/site-packages/weaviate/warnings.py:121: DeprecationWarning: Dep005: You are using weaviate-client version 3.25.3. The latest version is 4.4.0.\n",
      "            Please consider upgrading to the latest version. See https://weaviate.io/developers/weaviate/client-libraries/python for details.\n",
      "  warnings.warn(\n",
      "{\"action\":\"restapi_management\",\"level\":\"info\",\"msg\":\"Shutting down... \",\"time\":\"2024-02-01T12:00:55Z\"}\n",
      "{\"action\":\"restapi_management\",\"level\":\"info\",\"msg\":\"Stopped serving weaviate at http://127.0.0.1:8079\",\"time\":\"2024-02-01T12:00:55Z\"}\n",
      "{\"action\":\"startup\",\"default_vectorizer_module\":\"none\",\"level\":\"info\",\"msg\":\"the default vectorizer modules is set to \\\"none\\\", as a result all new schema classes without an explicit vectorizer setting, will use this vectorizer\",\"time\":\"2024-02-01T12:00:56Z\"}\n",
      "{\"action\":\"startup\",\"auto_schema_enabled\":true,\"level\":\"info\",\"msg\":\"auto schema enabled setting is set to \\\"true\\\"\",\"time\":\"2024-02-01T12:00:56Z\"}\n",
      "{\"level\":\"warning\",\"msg\":\"Multiple vector spaces are present, GraphQL Explore and REST API list objects endpoint module include params has been disabled as a result.\",\"time\":\"2024-02-01T12:00:56Z\"}\n",
      "{\"action\":\"grpc_startup\",\"level\":\"info\",\"msg\":\"grpc server listening at [::]:50060\",\"time\":\"2024-02-01T12:00:56Z\"}\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Client created? True\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "{\"action\":\"restapi_management\",\"level\":\"info\",\"msg\":\"Serving weaviate at http://127.0.0.1:8079\",\"time\":\"2024-02-01T12:00:56Z\"}\n"
     ]
    }
   ],
   "source": [
    "import weaviate, os\n",
    "from weaviate import EmbeddedOptions\n",
    "import openai\n",
    "\n",
    "from dotenv import load_dotenv, find_dotenv\n",
    "_ = load_dotenv(find_dotenv()) # read local .env file\n",
    "openai.api_key = os.environ['OPENAI_API_KEY']\n",
    "\n",
    "client = weaviate.Client(\n",
    "    embedded_options=EmbeddedOptions(),\n",
    "    additional_headers={\n",
    "        \"X-OpenAI-BaseURL\": os.environ['OPENAI_API_BASE'],\n",
    "        \"X-OpenAI-Api-Key\": openai.api_key  # Replace this with your actual key\n",
    "    }\n",
    ")\n",
    "print(f\"Client created? {client.is_ready()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "42f88930-693d-4041-a93c-280f00d8a75d",
   "metadata": {
    "height": 30
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"hostname\": \"http://127.0.0.1:8079\",\n",
      "  \"modules\": {\n",
      "    \"generative-openai\": {\n",
      "      \"documentationHref\": \"https://platform.openai.com/docs/api-reference/completions\",\n",
      "      \"name\": \"Generative Search - OpenAI\"\n",
      "    },\n",
      "    \"qna-openai\": {\n",
      "      \"documentationHref\": \"https://platform.openai.com/docs/api-reference/completions\",\n",
      "      \"name\": \"OpenAI Question & Answering Module\"\n",
      "    },\n",
      "    \"ref2vec-centroid\": {},\n",
      "    \"reranker-cohere\": {\n",
      "      \"documentationHref\": \"https://txt.cohere.com/rerank/\",\n",
      "      \"name\": \"Reranker - Cohere\"\n",
      "    },\n",
      "    \"text2vec-cohere\": {\n",
      "      \"documentationHref\": \"https://docs.cohere.ai/embedding-wiki/\",\n",
      "      \"name\": \"Cohere Module\"\n",
      "    },\n",
      "    \"text2vec-huggingface\": {\n",
      "      \"documentationHref\": \"https://huggingface.co/docs/api-inference/detailed_parameters#feature-extraction-task\",\n",
      "      \"name\": \"Hugging Face Module\"\n",
      "    },\n",
      "    \"text2vec-openai\": {\n",
      "      \"documentationHref\": \"https://platform.openai.com/docs/guides/embeddings/what-are-embeddings\",\n",
      "      \"name\": \"OpenAI Module\"\n",
      "    }\n",
      "  },\n",
      "  \"version\": \"1.22.3\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "json_print(client.get_meta())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7eb24c9-1f47-402f-ae21-58cad28c796f",
   "metadata": {},
   "source": [
    "## Step 3 - Create Question collection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "654b58e4-ad12-461c-951b-bf5ed372ee82",
   "metadata": {
    "height": 302
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "{\"action\":\"hnsw_vector_cache_prefill\",\"count\":1000,\"index_id\":\"question_izqMMIlCaZ5B\",\"level\":\"info\",\"limit\":1000000000000,\"msg\":\"prefilled vector cache\",\"time\":\"2024-02-01T12:01:41Z\",\"took\":114761}\n"
     ]
    }
   ],
   "source": [
    "# resetting the schema. CAUTION: This will delete your collection \n",
    "if client.schema.exists(\"Question\"):\n",
    "    client.schema.delete_class(\"Question\")\n",
    "class_obj = {\n",
    "    \"class\": \"Question\",\n",
    "    \"vectorizer\": \"text2vec-openai\",  # Use OpenAI as the vectorizer\n",
    "    \"moduleConfig\": {\n",
    "        \"text2vec-openai\": {\n",
    "            \"model\": \"ada\",\n",
    "            \"modelVersion\": \"002\",\n",
    "            \"type\": \"text\",\n",
    "            \"baseURL\": os.environ[\"OPENAI_API_BASE\"]\n",
    "        }\n",
    "    }\n",
    "}\n",
    "\n",
    "client.schema.create_class(class_obj)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b35a3a84-b944-4434-86eb-cbf0b7d6af12",
   "metadata": {},
   "source": [
    "## Step 4 - Load sample data and generate vector embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "30c7d265-4380-4cb5-a494-bd759bbf7297",
   "metadata": {
    "height": 47
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"Category\": \"SCIENCE\",\n",
      "  \"Question\": \"This organ removes excess glucose from the blood & stores it as glycogen\",\n",
      "  \"Answer\": \"Liver\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "# reminder for the data structure\n",
    "json_print(data[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "95e3d133-5b40-4b46-8719-d2cc70fffd1b",
   "metadata": {
    "height": 268
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "importing question: 1\n",
      "importing question: 2\n",
      "importing question: 3\n",
      "importing question: 4\n",
      "importing question: 5\n",
      "importing question: 6\n",
      "importing question: 7\n",
      "importing question: 8\n",
      "importing question: 9\n",
      "importing question: 10\n"
     ]
    }
   ],
   "source": [
    "with client.batch.configure(batch_size=5) as batch:\n",
    "    for i, d in enumerate(data):  # Batch import data\n",
    "        \n",
    "        print(f\"importing question: {i+1}\")\n",
    "        \n",
    "        properties = {\n",
    "            \"answer\": d[\"Answer\"],\n",
    "            \"question\": d[\"Question\"],\n",
    "            \"category\": d[\"Category\"],\n",
    "        }\n",
    "        \n",
    "        batch.add_data_object(\n",
    "            data_object=properties,\n",
    "            class_name=\"Question\"\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "25dc32a2-1629-4149-97a9-1d13d49f132d",
   "metadata": {
    "height": 47
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"data\": {\n",
      "    \"Aggregate\": {\n",
      "      \"Question\": [\n",
      "        {\n",
      "          \"meta\": {\n",
      "            \"count\": 10\n",
      "          }\n",
      "        }\n",
      "      ]\n",
      "    }\n",
      "  }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "count = client.query.aggregate(\"Question\").with_meta_count().do()\n",
    "json_print(count)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e128da9-8b9c-4e93-8077-ea35c2f27d4e",
   "metadata": {},
   "source": [
    "## Let's Extract the vector that represents each question!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8af97b0b-8e6b-4816-95ac-a31f9e2d80ab",
   "metadata": {
    "height": 149
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"data\": {\n",
      "    \"Get\": {\n",
      "      \"Question\": [\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"vector\": [\n",
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      "              -0.010613145,\n",
      "              -0.03301285,\n",
      "              0.011072021,\n",
      "              0.0142513765,\n",
      "              -0.017096408,\n",
      "              0.016296651,\n",
      "              -0.030128485,\n",
      "              0.007243685,\n",
      "              0.014697141,\n",
      "              0.00768945,\n",
      "              0.010980246,\n",
      "              0.034874573,\n",
      "              -0.00022083406,\n",
      "              -0.024857966,\n",
      "              -0.013844944,\n",
      "              0.011832444,\n",
      "              0.010514814,\n",
      "              0.0066209245,\n",
      "              -0.00037406586,\n",
      "              0.00092266843,\n",
      "              0.030705357,\n",
      "              0.008154881,\n",
      "              0.0018502534,\n",
      "              -0.006001442,\n",
      "              -0.0015019993,\n",
      "              0.0003875863,\n",
      "              -0.00025586432,\n",
      "              0.003572677,\n",
      "              0.027925879,\n",
      "              -0.016126212,\n",
      "              -0.009236517,\n",
      "              0.0019649724,\n",
      "              0.0148020275,\n",
      "              -0.0069093606,\n",
      "              -0.0024451534,\n",
      "              -0.014225155,\n",
      "              -0.015811555,\n",
      "              -0.0016150795,\n",
      "              -0.0063324883,\n",
      "              0.020754304,\n",
      "              0.0056638406,\n",
      "              0.00623088,\n",
      "              -0.017450398,\n",
      "              0.035870988,\n",
      "              0.03956822,\n",
      "              0.008685866,\n",
      "              -0.0068372516,\n",
      "              0.0077746697,\n",
      "              0.003428459,\n",
      "              -0.004395376,\n",
      "              0.025880603,\n",
      "              0.013962939,\n",
      "              0.0074206796,\n",
      "              0.010095271,\n",
      "              0.013962939,\n",
      "              -0.0027581723,\n",
      "              -0.00998383,\n",
      "              -0.009131632,\n",
      "              0.0046903677,\n",
      "              0.006345599,\n",
      "              0.00032326172,\n",
      "              0.007905778,\n",
      "              0.008318766,\n",
      "              -0.023324009,\n",
      "              -0.031046236,\n",
      "              0.025565946,\n",
      "              -0.03235731,\n",
      "              -0.03513679,\n",
      "              -0.018643474,\n",
      "              -0.013077965,\n",
      "              0.015523118,\n",
      "              -0.027637443,\n",
      "              -0.008810419,\n",
      "              0.0035562888,\n",
      "              -0.023232235,\n",
      "              0.012501092,\n",
      "              -0.01872214,\n",
      "              -6.2685736e-05,\n",
      "              -0.014172711,\n",
      "              0.028660081,\n",
      "              0.01713574,\n",
      "              0.006804475,\n",
      "              0.014421816,\n",
      "              0.00029888394,\n",
      "              0.025238177,\n",
      "              0.015693558,\n",
      "              0.024556419,\n",
      "              -0.023074904,\n",
      "              0.009649506,\n",
      "              -0.0039004455,\n",
      "              0.01086225,\n",
      "              0.004896862,\n",
      "              -0.006597981,\n",
      "              -0.014539813,\n",
      "              0.016912857,\n",
      "              -0.00026815565,\n",
      "              -0.0021485228,\n",
      "              0.021829385,\n",
      "              -0.03023337,\n",
      "              0.06707455,\n",
      "              0.0035169565,\n",
      "              -0.004864085,\n",
      "              0.0059555545,\n",
      "              -0.00667009,\n",
      "              0.016362205,\n",
      "              0.027296564,\n",
      "              -0.0082466565,\n",
      "              -0.0057556154,\n",
      "              -0.01247487,\n",
      "              0.01536579,\n",
      "              -0.013287737,\n",
      "              0.020452756,\n",
      "              -0.009085744,\n",
      "              -0.0217245,\n",
      "              0.033275064,\n",
      "              -0.0031334672,\n",
      "              0.023219123,\n",
      "              -0.03196399,\n",
      "              -0.031439558,\n",
      "              0.012756752,\n",
      "              -0.0006252185,\n",
      "              0.00045518856,\n",
      "              0.000437571,\n",
      "              -0.0047952537,\n",
      "              0.0045461496,\n",
      "              0.011524342,\n",
      "              -0.025933048,\n",
      "              0.008633424,\n",
      "              -0.03922734,\n",
      "              -0.003802115,\n",
      "              -0.013084521,\n",
      "              -0.029944934,\n",
      "              -0.025421727,\n",
      "              0.00276145,\n",
      "              -0.006001442,\n",
      "              0.00047075757,\n",
      "              -0.025893714,\n",
      "              0.016493313,\n",
      "              0.013976051,\n",
      "              0.00397911,\n",
      "              0.03513679,\n",
      "              -0.03623809,\n",
      "              -0.018105933,\n",
      "              0.020124989,\n",
      "              0.023887772,\n",
      "              -0.022930687,\n",
      "              -0.019325234,\n",
      "              0.011655449\n",
      "            ]\n",
      "          },\n",
      "          \"answer\": \"DNA\",\n",
      "          \"category\": \"SCIENCE\",\n",
      "          \"question\": \"In 1953 Watson & Crick built a model of the molecular structure of this, the gene-carrying substance\"\n",
      "        }\n",
      "      ]\n",
      "    }\n",
      "  }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "# write a query to extract the vector for a question\n",
    "result = (client.query\n",
    "          .get(\"Question\", [\"category\", \"question\", \"answer\"])\n",
    "          .with_additional(\"vector\")\n",
    "          .with_limit(1)\n",
    "          .do())\n",
    "\n",
    "json_print(result)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5153263-4464-4e45-8da8-fd47ec95fb4e",
   "metadata": {},
   "source": [
    "## Query time\n",
    "What is the distance between the `query`: `biology` and the returned objects?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "42e3d49a-5033-4742-8acf-6427980b9f54",
   "metadata": {
    "height": 183
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"data\": {\n",
      "    \"Get\": {\n",
      "      \"Question\": [\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.19695163\n",
      "          },\n",
      "          \"answer\": \"DNA\",\n",
      "          \"category\": \"SCIENCE\",\n",
      "          \"question\": \"In 1953 Watson & Crick built a model of the molecular structure of this, the gene-carrying substance\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.20142835\n",
      "          },\n",
      "          \"answer\": \"species\",\n",
      "          \"category\": \"SCIENCE\",\n",
      "          \"question\": \"2000 news: the Gunnison sage grouse isn't just another northern sage grouse, but a new one of this classification\"\n",
      "        }\n",
      "      ]\n",
      "    }\n",
      "  }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "response = (\n",
    "    client.query\n",
    "    .get(\"Question\",[\"question\",\"answer\",\"category\"])\n",
    "    .with_near_text({\"concepts\": \"biology\"})\n",
    "    .with_additional('distance')\n",
    "    .with_limit(2)\n",
    "    .do()\n",
    ")\n",
    "\n",
    "json_print(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "691aec17-32f5-4df3-a066-5017be268a1f",
   "metadata": {
    "height": 183
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"data\": {\n",
      "    \"Get\": {\n",
      "      \"Question\": [\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.18963969\n",
      "          },\n",
      "          \"answer\": \"Elephant\",\n",
      "          \"question\": \"It's the only living mammal in the order Proboseidea\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.19144487\n",
      "          },\n",
      "          \"answer\": \"the nose or snout\",\n",
      "          \"question\": \"The gavial looks very much like a crocodile except for this bodily feature\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.20419747\n",
      "          },\n",
      "          \"answer\": \"Antelope\",\n",
      "          \"question\": \"Weighing around a ton, the eland is the largest species of this animal in Africa\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.21438634\n",
      "          },\n",
      "          \"answer\": \"species\",\n",
      "          \"question\": \"2000 news: the Gunnison sage grouse isn't just another northern sage grouse, but a new one of this classification\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.23649544\n",
      "          },\n",
      "          \"answer\": \"the diamondback rattler\",\n",
      "          \"question\": \"Heaviest of all poisonous snakes is this North American rattlesnake\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.24689794\n",
      "          },\n",
      "          \"answer\": \"DNA\",\n",
      "          \"question\": \"In 1953 Watson & Crick built a model of the molecular structure of this, the gene-carrying substance\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.25260252\n",
      "          },\n",
      "          \"answer\": \"wire\",\n",
      "          \"question\": \"A metal that is ductile can be pulled into this while cold & under pressure\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.25561416\n",
      "          },\n",
      "          \"answer\": \"Liver\",\n",
      "          \"question\": \"This organ removes excess glucose from the blood & stores it as glycogen\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.2580055\n",
      "          },\n",
      "          \"answer\": \"Sound barrier\",\n",
      "          \"question\": \"In 70-degree air, a plane traveling at about 1,130 feet per second breaks it\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.26835442\n",
      "          },\n",
      "          \"answer\": \"the atmosphere\",\n",
      "          \"question\": \"Changes in the tropospheric layer of this are what gives us weather\"\n",
      "        }\n",
      "      ]\n",
      "    }\n",
      "  }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "response = (\n",
    "    client.query\n",
    "    .get(\"Question\", [\"question\", \"answer\"])\n",
    "    .with_near_text({\"concepts\": [\"animals\"]})\n",
    "    .with_limit(10)\n",
    "    .with_additional([\"distance\"])\n",
    "    .do()\n",
    ")\n",
    "\n",
    "json_print(response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "806d0b48-e03a-42ff-b3c7-ff640bb4bccb",
   "metadata": {},
   "source": [
    "## We can let the vector database know to remove results after a threshold distance!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "afe873c5-0ca3-470b-a40d-9a44361fddfb",
   "metadata": {
    "height": 183
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"data\": {\n",
      "    \"Get\": {\n",
      "      \"Question\": [\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.18963969\n",
      "          },\n",
      "          \"answer\": \"Elephant\",\n",
      "          \"question\": \"It's the only living mammal in the order Proboseidea\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.19144487\n",
      "          },\n",
      "          \"answer\": \"the nose or snout\",\n",
      "          \"question\": \"The gavial looks very much like a crocodile except for this bodily feature\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.20419747\n",
      "          },\n",
      "          \"answer\": \"Antelope\",\n",
      "          \"question\": \"Weighing around a ton, the eland is the largest species of this animal in Africa\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.21438634\n",
      "          },\n",
      "          \"answer\": \"species\",\n",
      "          \"question\": \"2000 news: the Gunnison sage grouse isn't just another northern sage grouse, but a new one of this classification\"\n",
      "        },\n",
      "        {\n",
      "          \"_additional\": {\n",
      "            \"distance\": 0.23649544\n",
      "          },\n",
      "          \"answer\": \"the diamondback rattler\",\n",
      "          \"question\": \"Heaviest of all poisonous snakes is this North American rattlesnake\"\n",
      "        }\n",
      "      ]\n",
      "    }\n",
      "  }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "response = (\n",
    "    client.query\n",
    "    .get(\"Question\", [\"question\", \"answer\"])\n",
    "    .with_near_text({\"concepts\": [\"animals\"], \"distance\": 0.24})\n",
    "    .with_limit(10)\n",
    "    .with_additional([\"distance\"])\n",
    "    .do()\n",
    ")\n",
    "\n",
    "json_print(response)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9875f5a5-f5f1-4642-bd02-28d5a66a90c0",
   "metadata": {},
   "source": [
    "## Vector Databases support for CRUD operations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0e4b598-1cb7-4a3b-a230-5c953a43ead1",
   "metadata": {},
   "source": [
    "### Create"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7e068287-69df-4792-98de-1d4a273381b7",
   "metadata": {
    "height": 166
   },
   "outputs": [],
   "source": [
    "#Create an object\n",
    "object_uuid = client.data_object.create(\n",
    "    data_object={\n",
    "        'question':\"Leonardo da Vinci was born in this country.\",\n",
    "        'answer': \"Italy\",\n",
    "        'category': \"Culture\"\n",
    "    },\n",
    "    class_name=\"Question\"\n",
    " )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a769490e-b6ac-41b2-98dd-ae641692331e",
   "metadata": {
    "height": 30
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7447764b-12ce-4193-be67-03078d076be6\n"
     ]
    }
   ],
   "source": [
    "print(object_uuid)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e98cd37f-4e4c-46fb-b0cd-ec0813de30d3",
   "metadata": {},
   "source": [
    "### Read"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4fbc4b12-91d0-40d8-86ba-12cfc24a55a6",
   "metadata": {
    "height": 47
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"class\": \"Question\",\n",
      "  \"creationTimeUnix\": 1706788964379,\n",
      "  \"id\": \"7447764b-12ce-4193-be67-03078d076be6\",\n",
      "  \"lastUpdateTimeUnix\": 1706788964379,\n",
      "  \"properties\": {\n",
      "    \"answer\": \"Italy\",\n",
      "    \"category\": \"Culture\",\n",
      "    \"question\": \"Leonardo da Vinci was born in this country.\"\n",
      "  },\n",
      "  \"vectorWeights\": null\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "data_object = client.data_object.get_by_id(object_uuid, class_name=\"Question\")\n",
    "json_print(data_object)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "91a962a6-0406-4750-9fb4-c7520936c864",
   "metadata": {
    "height": 132
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"class\": \"Question\",\n",
      "  \"creationTimeUnix\": 1706788964379,\n",
      "  \"id\": \"7447764b-12ce-4193-be67-03078d076be6\",\n",
      "  \"lastUpdateTimeUnix\": 1706788964379,\n",
      "  \"properties\": {\n",
      "    \"answer\": \"Italy\",\n",
      "    \"category\": \"Culture\",\n",
      "    \"question\": \"Leonardo da Vinci was born in this country.\"\n",
      "  },\n",
      "  \"vector\": [\n",
      "    0.022491472,\n",
      "    -0.013062453,\n",
      "    -0.0031088893,\n",
      "    -0.047720812,\n",
      "    -0.0038829134,\n",
      "    0.012032554,\n",
      "    -0.017399546,\n",
      "    -0.0040556295,\n",
      "    -0.004519404,\n",
      "    -0.034671154,\n",
      "    0.0105100935,\n",
      "    0.025689917,\n",
      "    -0.0032112396,\n",
      "    -0.0072348844,\n",
      "    0.010337377,\n",
      "    -0.001473684,\n",
      "    0.01306885,\n",
      "    0.0053605954,\n",
      "    0.03953279,\n",
      "    -0.00806648,\n",
      "    0.002354056,\n",
      "    0.021109743,\n",
      "    0.011699915,\n",
      "    -0.01088751,\n",
      "    0.0051399027,\n",
      "    0.0018854839,\n",
      "    0.016516775,\n",
      "    -0.03216357,\n",
      "    0.014827995,\n",
      "    -0.031702995,\n",
      "    -0.007880971,\n",
      "    0.0006992602,\n",
      "    -0.009953563,\n",
      "    -0.0133950915,\n",
      "    -0.018742893,\n",
      "    -0.014431388,\n",
      "    -0.007682667,\n",
      "    -0.028095149,\n",
      "    0.00814964,\n",
      "    0.015301365,\n",
      "    0.0152118085,\n",
      "    0.012211666,\n",
      "    -0.008731757,\n",
      "    -0.035259668,\n",
      "    -0.011706312,\n",
      "    -0.00042339426,\n",
      "    0.009288287,\n",
      "    0.00852066,\n",
      "    0.018973181,\n",
      "    0.02661107,\n",
      "    0.022657791,\n",
      "    0.039711904,\n",
      "    -0.021723844,\n",
      "    -0.0027138814,\n",
      "    0.0032048428,\n",
      "    -0.004605762,\n",
      "    -0.027199583,\n",
      "    -0.016248105,\n",
      "    -0.0018694917,\n",
      "    -0.012601877,\n",
      "    0.003543878,\n",
      "    0.021173712,\n",
      "    -0.015199015,\n",
      "    0.012640258,\n",
      "    -0.028555725,\n",
      "    -0.019868746,\n",
      "    -0.011098607,\n",
      "    0.01903715,\n",
      "    0.0044842213,\n",
      "    0.016644713,\n",
      "    0.027122822,\n",
      "    0.007970527,\n",
      "    -0.00469212,\n",
      "    0.0077146515,\n",
      "    0.036436696,\n",
      "    0.0018614955,\n",
      "    -0.013919637,\n",
      "    -0.0016887794,\n",
      "    -0.022644997,\n",
      "    -0.0027794496,\n",
      "    -0.005002369,\n",
      "    -0.04406179,\n",
      "    -0.005683638,\n",
      "    -0.006448067,\n",
      "    0.009102777,\n",
      "    0.0043722754,\n",
      "    -0.032956786,\n",
      "    0.04104246,\n",
      "    -0.0056900354,\n",
      "    -0.014316244,\n",
      "    -0.01761704,\n",
      "    -0.0007240482,\n",
      "    0.004090812,\n",
      "    -0.00048296532,\n",
      "    -0.011891821,\n",
      "    -0.02045726,\n",
      "    -0.010254217,\n",
      "    0.024960672,\n",
      "    -0.008092068,\n",
      "    0.007567523,\n",
      "    0.0033263837,\n",
      "    0.011725503,\n",
      "    -0.002841819,\n",
      "    -0.023681294,\n",
      "    -0.013676555,\n",
      "    0.006147413,\n",
      "    -0.006576005,\n",
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      "    0.019804778,\n",
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      "    0.0009307478,\n",
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      "    0.009716879,\n",
      "    0.023412624,\n",
      "    -0.0003620241,\n",
      "    -0.024909496,\n",
      "    -0.013919637,\n",
      "    0.036871683,\n",
      "    0.003270411,\n",
      "    -0.020431673,\n",
      "    -0.018448636,\n",
      "    -0.008200815,\n",
      "    0.01201976,\n",
      "    -0.019331407,\n",
      "    0.007746636,\n",
      "    0.0019766395,\n",
      "    -0.02512699,\n",
      "    -0.011699915,\n",
      "    -0.0080089085,\n",
      "    0.008264784,\n",
      "    0.034031466,\n",
      "    0.00454819,\n",
      "    0.009115571,\n",
      "    -0.02512699,\n",
      "    -0.006109032,\n",
      "    0.0076059042,\n",
      "    -0.0020997797,\n",
      "    0.028248673,\n",
      "    -0.027736923,\n",
      "    -0.030705081\n",
      "  ],\n",
      "  \"vectorWeights\": null\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "data_object = client.data_object.get_by_id(\n",
    "    object_uuid,\n",
    "    class_name='Question',\n",
    "    with_vector=True\n",
    ")\n",
    "\n",
    "json_print(data_object)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba0b2cf0-5cc8-4a24-8685-6791f1bdf2c3",
   "metadata": {},
   "source": [
    "### Update"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a9daf260-e0e0-489f-83af-05b762e01171",
   "metadata": {
    "height": 115
   },
   "outputs": [],
   "source": [
    "client.data_object.update(\n",
    "    uuid=object_uuid,\n",
    "    class_name=\"Question\",\n",
    "    data_object={\n",
    "        'answer':\"Florence, Italy\"\n",
    "    })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a743d481-1a25-47b6-82ac-c3c3c3b02b8d",
   "metadata": {
    "height": 115
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"class\": \"Question\",\n",
      "  \"creationTimeUnix\": 1706788964379,\n",
      "  \"id\": \"7447764b-12ce-4193-be67-03078d076be6\",\n",
      "  \"lastUpdateTimeUnix\": 1706788983167,\n",
      "  \"properties\": {\n",
      "    \"answer\": \"Florence, Italy\",\n",
      "    \"category\": \"Culture\",\n",
      "    \"question\": \"Leonardo da Vinci was born in this country.\"\n",
      "  },\n",
      "  \"vectorWeights\": null\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "data_object = client.data_object.get_by_id(\n",
    "    object_uuid,\n",
    "    class_name='Question',\n",
    ")\n",
    "\n",
    "json_print(data_object)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c317c5a-6fc9-47f3-b8c3-d2aff2ab6cb5",
   "metadata": {},
   "source": [
    "### Delete"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a9ddc0e3-8d18-4908-93be-626ddf973b44",
   "metadata": {
    "height": 30
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"data\": {\n",
      "    \"Aggregate\": {\n",
      "      \"Question\": [\n",
      "        {\n",
      "          \"meta\": {\n",
      "            \"count\": 11\n",
      "          }\n",
      "        }\n",
      "      ]\n",
      "    }\n",
      "  }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "json_print(client.query.aggregate(\"Question\").with_meta_count().do())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "64118e7a-2b9d-425f-a922-54b98103a9b6",
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "client.data_object.delete(uuid=object_uuid, class_name=\"Question\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "53fa8f44-ec03-425a-a567-ebb3825b7cf0",
   "metadata": {
    "height": 30
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"data\": {\n",
      "    \"Aggregate\": {\n",
      "      \"Question\": [\n",
      "        {\n",
      "          \"meta\": {\n",
      "            \"count\": 10\n",
      "          }\n",
      "        }\n",
      "      ]\n",
      "    }\n",
      "  }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "json_print(client.query.aggregate(\"Question\").with_meta_count().do())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "676f1722-9690-43a0-b256-c59d678570ad",
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af0d7d1e-3299-4db6-b936-126f98b79ddf",
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c1a711c-941d-47b4-8d3d-eec81ee673b2",
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "354c46c5-0f6e-44dc-8fd7-2cb56036efaf",
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d43bcc4b-08b7-4999-89ce-6dd9e23874c2",
   "metadata": {
    "height": 30
   },
   "outputs": [],
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   "cell_type": "code",
   "execution_count": null,
   "id": "380a4575-92ad-4df4-b4ec-49f7ef2152c3",
   "metadata": {
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   "cell_type": "code",
   "execution_count": null,
   "id": "1c9bf4e6-8f57-473c-a314-9fc850c50c91",
   "metadata": {
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   "outputs": [],
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   "execution_count": null,
   "id": "503a99f6-a380-4e72-ae8b-a99951517cbf",
   "metadata": {
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