diff --git a/Demo_graph.ipynb b/Demo_graph.ipynb
index d99d81349..5cea71c62 100644
--- a/Demo_graph.ipynb
+++ b/Demo_graph.ipynb
@@ -102,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 1,
    "id": "8a8942b5-91d6-4746-b35d-00f58bc16d7b",
    "metadata": {},
    "outputs": [],
@@ -140,7 +140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 2,
    "id": "14484e25-fae8-4306-b03f-dae91fe5d0aa",
    "metadata": {},
    "outputs": [],
@@ -160,7 +160,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 3,
    "id": "50d5afda-418f-436b-b467-004863193d4a",
    "metadata": {},
    "outputs": [],
@@ -334,7 +334,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 4,
    "id": "f97f11f1-4490-49ea-b193-1f858e72893b",
    "metadata": {},
    "outputs": [],
@@ -349,7 +349,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 5,
    "id": "84da594a-459e-4ec5-9a5c-3a6cc3ab98af",
    "metadata": {},
    "outputs": [],
@@ -359,7 +359,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 6,
    "id": "f56ae869-0dce-41f2-9db0-5f8d5eccba52",
    "metadata": {},
    "outputs": [
@@ -367,7 +367,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'label': {'type': 'TEXT', 'subclass': [<TextSubclass.NEWS_STORIES: 'News stories and blog posts'>]}}\n"
+      "{'label': {'type': 'TEXT', 'subclass': [<TextSubclass.ARTICLES: 'Articles, essays, and reports'>]}}\n"
      ]
     }
    ],
@@ -377,7 +377,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 7,
    "id": "6e64e72f-d18b-4d21-85d6-55ed3621124a",
    "metadata": {},
    "outputs": [],
@@ -388,7 +388,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 8,
    "id": "cdeb3631-fb55-4580-a5e5-d2a193a44e79",
    "metadata": {},
    "outputs": [
@@ -432,7 +432,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 9,
    "id": "fad0c4b0-cd61-4c3c-9964-47f019278060",
    "metadata": {},
    "outputs": [],
@@ -468,7 +468,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 10,
    "id": "709ec529-bb91-45cd-82cb-c122eb69fcd7",
    "metadata": {},
    "outputs": [
@@ -477,10 +477,10 @@
       "text/plain": [
        "{'data_type': 'text',\n",
        " 'context_name': 'TEXT',\n",
-       " 'layer_name': 'News stories and blog posts'}"
+       " 'layer_name': 'Articles, essays, and reports'}"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -491,7 +491,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 11,
    "id": "06b483bf-2fa0-414f-8253-27ffe9a2881c",
    "metadata": {},
    "outputs": [],
@@ -501,7 +501,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 12,
    "id": "35461aff-fd80-4eb2-94b2-66c742db8e55",
    "metadata": {},
    "outputs": [],
@@ -511,7 +511,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 13,
    "id": "41d06ecb-83b9-4284-8d88-6a3f710cb457",
    "metadata": {},
    "outputs": [
@@ -519,7 +519,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Extracted Layer Names: ['Contextual Layer', 'Thematic Layer', 'Sentimental Layer', 'Structural Layer', 'Temporal Layer', 'Interactivity Layer', 'Semantic Layer', 'Network Layer']\n"
+      "Extracted Layer Names: ['Structural Analysis', 'Thematic Analysis', 'Semantic Analysis', 'Sentiment Analysis', 'Referential Analysis', 'Lexical Richness', 'Authorship Style']\n"
      ]
     }
    ],
@@ -531,7 +531,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 14,
    "id": "1a287a2a-2fb5-4ad3-a69e-80ed2e2ffa5a",
    "metadata": {},
    "outputs": [
@@ -539,7 +539,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Extracted Layer Names: ['Semantic Content Layer', 'Entity and Relationship Layer', 'Sentiment and Emotion Layer', 'Temporal Layer', 'Geospatial Layer', 'Topical and Thematic Layer']\n"
+      "Extracted Layer Names: ['Thematic Layer', 'Semantic Layer', 'Structural Layer', 'Entity Layer', 'Sentiment Layer', 'Temporal Layer', 'Source Layer']\n"
      ]
     }
    ],
@@ -551,7 +551,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 15,
    "id": "609b1287-e0bf-42a5-856a-f2e0d859ea8b",
    "metadata": {},
    "outputs": [],
@@ -561,7 +561,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 16,
    "id": "42dbf97d-79b9-4627-b307-b64ac22db4f7",
    "metadata": {},
    "outputs": [
@@ -570,10 +570,10 @@
       "text/plain": [
        "{'data_type': 'text',\n",
        " 'context_name': 'TEXT',\n",
-       " 'layer_name': 'News stories and blog posts'}"
+       " 'layer_name': 'Articles, essays, and reports'}"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -584,7 +584,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 17,
    "id": "25adeeb7-cce2-4eac-8fb5-4ff47029d77d",
    "metadata": {},
    "outputs": [],
@@ -616,7 +616,165 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 18,
+   "id": "2c49c020-8fd0-4c8b-ae33-a593e50b2a6f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import networkx as nx\n",
+    "from pydantic import BaseModel\n",
+    "from typing import Optional, Any, List, Dict\n",
+    "from datetime import datetime\n",
+    "\n",
+    "# Models for representing different entities\n",
+    "class Relationship(BaseModel):\n",
+    "    type: str\n",
+    "    properties: Optional[Dict[str, Any]] = None\n",
+    "\n",
+    "class DocumentType(BaseModel):\n",
+    "    type_id: str\n",
+    "    description: str\n",
+    "    default_relationship: Relationship = Relationship(type='is_type')\n",
+    "\n",
+    "class Category(BaseModel):\n",
+    "    category_id: str\n",
+    "    name: str\n",
+    "    default_relationship: Relationship = Relationship(type='categorized_as')\n",
+    "\n",
+    "class Document(BaseModel):\n",
+    "    doc_id: str\n",
+    "    title: str\n",
+    "    summary: Optional[str] = None\n",
+    "    content_id: Optional[str] = None\n",
+    "    doc_type: Optional[DocumentType] = None\n",
+    "    categories: List[Category] = []\n",
+    "    default_relationship: Relationship = Relationship(type='has_document')\n",
+    "\n",
+    "class UserLocation(BaseModel):\n",
+    "    location_id: str\n",
+    "    description: str\n",
+    "    default_relationship: Relationship = Relationship(type='located_in')\n",
+    "\n",
+    "class UserProperties(BaseModel):\n",
+    "    custom_properties: Optional[Dict[str, Any]] = None\n",
+    "    location: Optional[UserLocation] = None\n",
+    "\n",
+    "class GraphModel(BaseModel):\n",
+    "    id: str\n",
+    "    user_properties: UserProperties = UserProperties()\n",
+    "    documents: List[Document] = []\n",
+    "    default_fields: Optional[Dict[str, Any]] = {}\n",
+    "\n",
+    "def generate_node_id(instance: BaseModel) -> str:\n",
+    "    for field in ['id', 'doc_id', 'location_id', 'type_id']:\n",
+    "        if hasattr(instance, field):\n",
+    "            return f\"{instance.__class__.__name__}:{getattr(instance, field)}\"\n",
+    "    return f\"{instance.__class__.__name__}:default\"\n",
+    "\n",
+    "def add_node_and_edge(G, parent_id: Optional[str], node_id: str, node_data: dict, relationship_data: dict):\n",
+    "    G.add_node(node_id, **node_data)  # Add the current node with its data\n",
+    "    if parent_id:\n",
+    "        # Add an edge between the parent node and the current node with the correct relationship data\n",
+    "        G.add_edge(parent_id, node_id, **relationship_data)\n",
+    "\n",
+    "def process_attribute(G, parent_id: Optional[str], attribute: str, value: Any):\n",
+    "    if isinstance(value, BaseModel):\n",
+    "        node_id = generate_node_id(value)\n",
+    "        node_data = value.dict(exclude={'default_relationship'})\n",
+    "        # Use the specified default relationship for the edge between the parent node and the current node\n",
+    "        relationship_data = value.default_relationship.dict() if hasattr(value, 'default_relationship') else {}\n",
+    "        add_node_and_edge(G, parent_id, node_id, node_data, relationship_data)\n",
+    "\n",
+    "        # Recursively process nested attributes to ensure all nodes and relationships are added to the graph\n",
+    "        for sub_attr, sub_val in value.__dict__.items():  # Access attributes and their values directly\n",
+    "            process_attribute(G, node_id, sub_attr, sub_val)\n",
+    "\n",
+    "    elif isinstance(value, list) and all(isinstance(item, BaseModel) for item in value):\n",
+    "        # For lists of BaseModel instances, process each item in the list\n",
+    "        for item in value:\n",
+    "            process_attribute(G, parent_id, attribute, item)\n",
+    "\n",
+    "def create_dynamic(graph_model: BaseModel, existing_graph: Optional[nx.Graph] = None) -> nx.Graph:\n",
+    "    G = existing_graph or nx.Graph()\n",
+    "    root_id = generate_node_id(graph_model)\n",
+    "    print(root_id)\n",
+    "    G.add_node(root_id, **graph_model.dict(exclude={'default_relationship'}))\n",
+    "\n",
+    "    for attribute_name, attribute_value in graph_model:\n",
+    "        process_attribute(G, root_id, attribute_name, attribute_value)\n",
+    "\n",
+    "    return G\n",
+    "\n",
+    "# Example usage with GraphModel instance\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "02dbe7f1-32cd-411a-8480-00f4fc342afc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "graph_model_instance = GraphModel(\n",
+    "    id=\"user123\",\n",
+    "    documents=[\n",
+    "        Document(\n",
+    "            doc_id=\"doc1\",\n",
+    "            title=\"Document 1\",\n",
+    "            summary=\"Summary of Document 1\",\n",
+    "            content_id=\"content_id_for_doc1\",  # Assuming external content storage ID\n",
+    "            doc_type=DocumentType(type_id=\"PDF\", description=\"Portable Document Format\"),\n",
+    "            categories=[\n",
+    "                Category(category_id=\"finance\", name=\"Finance\", default_relationship=Relationship(type=\"belongs_to\")),\n",
+    "                Category(category_id=\"tech\", name=\"Technology\", default_relationship=Relationship(type=\"belongs_to\"))\n",
+    "            ],\n",
+    "            default_relationship=Relationship(type='has_document')\n",
+    "        ),\n",
+    "        Document(\n",
+    "            doc_id=\"doc2\",\n",
+    "            title=\"Document 2\",\n",
+    "            summary=\"Summary of Document 2\",\n",
+    "            content_id=\"content_id_for_doc2\",\n",
+    "            doc_type=DocumentType(type_id=\"TXT\", description=\"Text File\"),\n",
+    "            categories=[\n",
+    "                Category(category_id=\"health\", name=\"Health\", default_relationship=Relationship(type=\"belongs_to\")),\n",
+    "                Category(category_id=\"wellness\", name=\"Wellness\", default_relationship=Relationship(type=\"belongs_to\"))\n",
+    "            ],\n",
+    "            default_relationship=Relationship(type='has_document')\n",
+    "        )\n",
+    "    ],\n",
+    "    user_properties=UserProperties(\n",
+    "        custom_properties={\"age\": \"30\"},\n",
+    "        location=UserLocation(location_id=\"ny\", description=\"New York\", default_relationship=Relationship(type='located_in'))\n",
+    "    ),\n",
+    "    default_fields={\n",
+    "        'created_at': datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\"),\n",
+    "        'updated_at': datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\")\n",
+    "    }\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "062a317c-0dee-4ce9-959b-6f2ce50e652b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "GraphModel:user123\n"
+     ]
+    }
+   ],
+   "source": [
+    "R = create_dynamic(graph_model_instance)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
    "id": "b59a52d7-d82b-4546-b0b1-a3d0f62a2a65",
    "metadata": {},
    "outputs": [],
@@ -626,24 +784,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 22,
    "id": "3e7b9fde-fcd5-4891-b43c-177d3877559d",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "['Contextual Layer',\n",
-       " 'Thematic Layer',\n",
-       " 'Sentimental Layer',\n",
-       " 'Structural Layer',\n",
-       " 'Temporal Layer',\n",
-       " 'Interactivity Layer',\n",
-       " 'Semantic Layer',\n",
-       " 'Network Layer']"
+       "['Structural Analysis',\n",
+       " 'Thematic Analysis',\n",
+       " 'Semantic Analysis',\n",
+       " 'Sentiment Analysis',\n",
+       " 'Referential Analysis',\n",
+       " 'Lexical Richness',\n",
+       " 'Authorship Style']"
       ]
      },
-     "execution_count": 70,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -654,7 +811,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 23,
    "id": "f06edd84-c455-4034-a38b-3a7d2f746f42",
    "metadata": {},
    "outputs": [],
@@ -685,7 +842,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "id": "a34971b4-d1fa-4db8-abbc-395bc70b0b49",
    "metadata": {},
    "outputs": [],
@@ -695,15 +852,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "id": "de3bdbb7-0b2b-46fa-a42f-3ca288c4d875",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "layer_2_graph = await async_graph_per_layer(input_article_one, cognitive_layers_two)"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "id": "088e92a0-06e7-4128-b9b8-eacd9e735cb4",
    "metadata": {},
    "outputs": [],
@@ -714,118 +873,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
-   "id": "142f4bd8-ec50-4715-ba58-981bda65116c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "    # print(\"Nodes and their data:\")\n",
-    "    # for node, data in U.nodes(data=True):\n",
-    "    #     print(node, data)\n",
-    "\n",
-    "    # # Print edges with their data\n",
-    "    # print(\"\\nEdges and their data:\")\n",
-    "    # for source, target, data in U.edges(data=True):\n",
-    "    #     print(f\"{source} -> {target} {data}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "58644c64-7ef0-415f-8e41-e2edcf5fd15b",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c94056bd-8d32-48e2-9982-e9af06da3333",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "dd3f0e55-9f9d-4804-9ad6-31afd2088ab5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example usage\n",
-    "# user_id = 'user123'\n",
-    "# custom_user_properties = {\n",
-    "#     'username': 'exampleUser',\n",
-    "#     'email': 'user@example.com'\n",
-    "# }\n",
-    "\n",
-    "# additional_categories = {\n",
-    "#     \"Natural Language Text\": [\"Articles, essays, and reports\", \"Books and manuscripts\"]\n",
-    "# }\n",
-    "\n",
-    "# G = await create_semantic_graph(user_id, custom_user_properties, transformed_dict_1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2cc7c3bb-7cc0-453b-beab-2983a703ccda",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# transformed_dict_1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b3160a1d-a6ea-40ce-a521-37ad26d31ffb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# print(\"Nodes in the graph:\")\n",
-    "# print(G.nodes(data=True))\n",
-    "# print(\"\\nEdges in the graph:\")\n",
-    "# print(G.edges(data=True))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b254dfc9-ce85-4175-9d1e-c0f1ede67e3b",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a77b4f24-3046-4ab6-9ba1-c802096498df",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4dab2ff0-0d12-4a00-a4e4-fb901e701bd3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# B = create_user_content_graph(user_id, custom_user_properties, transformed_dict_2, existing_graph=G)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "627d42fd-d2ce-4ccd-a2a1-2f7ac2f463cf",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 27,
    "id": "512f15be-0114-4c8c-9754-e82f2fa16344",
    "metadata": {},
    "outputs": [
@@ -833,7 +881,7 @@
      "data": {
       "text/html": [
        "\n",
-       "            <iframe id=\"34035751-86fb-4ecf-b94e-9dbb157c25fa\" src=\"https://hub.graphistry.com/graph/graph.html?dataset=9c1a88716d0644c3bc08d29b7ecd4614&type=arrow&viztoken=90df95c5-0a09-4d15-b6a3-2cbdfa5acb1b&usertag=1daaf574-pygraphistry-0.33.0&splashAfter=1710106897&info=true\"\n",
+       "            <iframe id=\"5efc2e8b-ac1e-4c0a-9f57-643b3046bfb5\" src=\"https://hub.graphistry.com/graph/graph.html?dataset=1b8e7a91fc76428a92b225ef92c8f577&type=arrow&viztoken=89d77b6d-0e19-4e74-a306-e62e25b4390b&usertag=1daaf574-pygraphistry-0.33.0&splashAfter=1710152260&info=true\"\n",
        "                    allowfullscreen=\"true\" webkitallowfullscreen=\"true\" mozallowfullscreen=\"true\"\n",
        "                    oallowfullscreen=\"true\" msallowfullscreen=\"true\"\n",
        "                    style=\"width:100%; height:500px; border: 1px solid #DDD; overflow: hidden\"\n",
@@ -843,7 +891,7 @@
        "        \n",
        "            <script>\n",
        "                try {\n",
-       "                  $(\"#34035751-86fb-4ecf-b94e-9dbb157c25fa\").bind('mousewheel', function(e) { e.preventDefault(); });\n",
+       "                  $(\"#5efc2e8b-ac1e-4c0a-9f57-643b3046bfb5\").bind('mousewheel', function(e) { e.preventDefault(); });\n",
        "                } catch (e) { console.error('exn catching scroll', e); }\n",
        "            </script>\n",
        "        "
@@ -852,7 +900,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 73,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -875,23 +923,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "40866ff1-7c2d-4682-851c-de2442984cd5",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a3127724-3bef-416e-8631-ba6cea645196",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 28,
    "id": "fe634bcb-0c00-4a2a-8bcb-687a2fcf847c",
    "metadata": {},
    "outputs": [],
@@ -948,23 +980,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "8d6a9eb5-387e-45a3-9dc9-5f8ac36fdd38",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7f1cde10-3d83-4800-9ef4-f8eaa39cf772",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 29,
    "id": "56a062e6-a530-413d-9823-95322e8a825a",
    "metadata": {},
    "outputs": [],
@@ -1003,17 +1019,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 30,
    "id": "d6d602c3-f543-4843-af8d-bfa13009f3e3",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "DefaultContentPrediction(label=TextContent(type='TEXT', subclass=[<TextSubclass.NEWS_STORIES: 'News stories and blog posts'>]))"
+       "DefaultContentPrediction(label=TextContent(type='TEXT', subclass=[<TextSubclass.ARTICLES: 'Articles, essays, and reports'>]))"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1032,7 +1048,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 31,
    "id": "89ae9422-e26e-4180-be99-e21bae5229e5",
    "metadata": {},
    "outputs": [
@@ -1040,22 +1056,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
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-      "LLM_CLASSIFICATION:LAYER:News stories and blog posts:Document:doc1\n",
-      "Updated Nodes: [('GraphModel:user123', {'id': 'user123', 'user_properties': {'custom_properties': {'age': '30'}, 'location': {'location_id': 'ny', 'description': 'New York', 'default_relationship': {'type': 'located_in', 'properties': None}}}, 'documents': [{'doc_id': 'doc1', 'title': 'Document 1', 'summary': 'Summary of Document 1', 'content_id': 'content_id_for_doc1', 'doc_type': {'type_id': 'PDF', 'description': 'Portable Document Format', 'default_relationship': {'type': 'is_type', 'properties': None}}, 'categories': [{'category_id': 'finance', 'name': 'Finance', 'default_relationship': {'type': 'belongs_to', 'properties': None}}, {'category_id': 'tech', 'name': 'Technology', 'default_relationship': {'type': 'belongs_to', 'properties': None}}], 'default_relationship': {'type': 'has_document', 'properties': None}}, {'doc_id': 'doc2', 'title': 'Document 2', 'summary': 'Summary of Document 2', 'content_id': 'content_id_for_doc2', 'doc_type': {'type_id': 'TXT', 'description': 'Text File', 'default_relationship': {'type': 'is_type', 'properties': None}}, 'categories': [{'category_id': 'health', 'name': 'Health', 'default_relationship': {'type': 'belongs_to', 'properties': None}}, {'category_id': 'wellness', 'name': 'Wellness', 'default_relationship': {'type': 'belongs_to', 'properties': None}}], 'default_relationship': {'type': 'has_document', 'properties': None}}], 'default_fields': {'created_at': '2024-03-10 22:38:40', 'updated_at': '2024-03-10 22:38:40'}}), ('UserProperties:default', {'custom_properties': {'age': '30'}, 'location': {'location_id': 'ny', 'description': 'New York', 'default_relationship': {'type': 'located_in', 'properties': None}}}), ('UserLocation:ny', {'location_id': 'ny', 'description': 'New York'}), ('Relationship:default', {'type': 'has_document', 'properties': None}), ('Document:doc1', {'doc_id': 'doc1', 'title': 'Document 1', 'summary': 'Summary of Document 1', 'content_id': 'content_id_for_doc1', 'doc_type': {'type_id': 'PDF', 'description': 'Portable Document Format', 'default_relationship': {'type': 'is_type', 'properties': None}}, 'categories': [{'category_id': 'finance', 'name': 'Finance', 'default_relationship': {'type': 'belongs_to', 'properties': None}}, {'category_id': 'tech', 'name': 'Technology', 'default_relationship': {'type': 'belongs_to', 'properties': None}}]}), ('DocumentType:PDF', {'type_id': 'PDF', 'description': 'Portable Document Format'}), ('Category:default', {'category_id': 'wellness', 'name': 'Wellness'}), ('Document:doc2', {'doc_id': 'doc2', 'title': 'Document 2', 'summary': 'Summary of Document 2', 'content_id': 'content_id_for_doc2', 'doc_type': {'type_id': 'TXT', 'description': 'Text File', 'default_relationship': {'type': 'is_type', 'properties': None}}, 'categories': [{'category_id': 'health', 'name': 'Health', 'default_relationship': {'type': 'belongs_to', 'properties': None}}, {'category_id': 'wellness', 'name': 'Wellness', 'default_relationship': {'type': 'belongs_to', 'properties': None}}]}), ('DocumentType:TXT', {'type_id': 'TXT', 'description': 'Text File'}), ('LLM_LAYER_CLASSIFICATION:TEXT:Document:doc1', {'data_type': 'text', 'context_name': 'TEXT', 'layer_name': 'News stories and blog posts'}), ('LLM_CLASSIFICATION:LAYER:News stories and blog posts:Document:doc1', {'data_type': 'text', 'context_name': 'TEXT', 'layer_name': 'News stories and blog posts'}), ('Britons have always been a bit silly about animals - 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477a62a9-75b5-4952-ab77-e204cacabfc3  - fe825d60-466e-4d52-9226-a75d1a75ddd8 - 8ef1a59c-5433-467a-800e-99135cba415a', {'created_at': '2024-03-10 22:41:37', 'updated_at': '2024-03-10 22:41:37', 'description': 'Britons have always been a bit silly about animals, considering keeping pets not just a leisure activity but an entire way of life.', 'category': 'behavior', 'memory_type': 'semantic', 'layer_uuid': '477a62a9-75b5-4952-ab77-e204cacabfc3', 'layer_description': \"{'layer': 'Thematic Layer'}\", 'layer_decomposition_uuid': 'fe825d60-466e-4d52-9226-a75d1a75ddd8', 'id': '8ef1a59c-5433-467a-800e-99135cba415a', 'type': 'detail'}), (\"Kate Fox, an anthropologist, wrote Watching the English, nearly 20 years ago, highlighting the English's peculiar relationship with pets, especially dogs. - 477a62a9-75b5-4952-ab77-e204cacabfc3  - fe825d60-466e-4d52-9226-a75d1a75ddd8 - 918b38c3-4482-4a48-b91e-8adfd7df92bf\", {'created_at': '2024-03-10 22:41:37', 'updated_at': '2024-03-10 22:41:37', 'description': \"Kate Fox, an anthropologist, wrote Watching the English, nearly 20 years ago, highlighting the English's peculiar relationship with pets, especially dogs.\", 'category': 'person', 'memory_type': 'semantic', 'layer_uuid': '477a62a9-75b5-4952-ab77-e204cacabfc3', 'layer_description': \"{'layer': 'Thematic Layer'}\", 'layer_decomposition_uuid': 'fe825d60-466e-4d52-9226-a75d1a75ddd8', 'id': '918b38c3-4482-4a48-b91e-8adfd7df92bf', 'type': 'detail'}), ('British society is accommodating towards dogs, allowing them in public transport and other places with signs like Dogs welcome, people tolerated. - 477a62a9-75b5-4952-ab77-e204cacabfc3  - fe825d60-466e-4d52-9226-a75d1a75ddd8 - 20b2dcd6-957a-4688-8fb9-505a90529718', {'created_at': '2024-03-10 22:41:37', 'updated_at': '2024-03-10 22:41:37', 'description': 'British society is accommodating towards dogs, allowing them in public transport and other places with signs like Dogs welcome, people tolerated.', 'category': 'culture', 'memory_type': 'semantic', 'layer_uuid': '477a62a9-75b5-4952-ab77-e204cacabfc3', 'layer_description': \"{'layer': 'Thematic Layer'}\", 'layer_decomposition_uuid': 'fe825d60-466e-4d52-9226-a75d1a75ddd8', 'id': '20b2dcd6-957a-4688-8fb9-505a90529718', 'type': 'detail'}), ('During the pandemic, the number of pet dogs in the UK increased from about nine million to 13 million between 2019 and 2022. - 477a62a9-75b5-4952-ab77-e204cacabfc3  - fe825d60-466e-4d52-9226-a75d1a75ddd8 - 2b89b7c3-b796-4457-99ca-f927abdd8f13', {'created_at': '2024-03-10 22:41:37', 'updated_at': '2024-03-10 22:41:37', 'description': 'During the pandemic, the number of pet dogs in the UK increased from about nine million to 13 million between 2019 and 2022.', 'category': 'event', 'memory_type': 'semantic', 'layer_uuid': '477a62a9-75b5-4952-ab77-e204cacabfc3', 'layer_description': \"{'layer': 'Thematic Layer'}\", 'layer_decomposition_uuid': 'fe825d60-466e-4d52-9226-a75d1a75ddd8', 'id': '2b89b7c3-b796-4457-99ca-f927abdd8f13', 'type': 'detail'}), ('The Dogs Trust charity coined the slogan A dog is for life, not just for Christmas in 1978 to address seasonal surge in pet acquisition. - 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@@ -1074,7 +1088,7 @@
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+   "execution_count": 32,
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@@ -1084,7 +1098,7 @@
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+   "execution_count": 117,
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@@ -1092,7 +1106,7 @@
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@@ -1102,7 +1116,7 @@
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-       "                  $(\"#6b0967a1-3b3a-4638-ae7d-52ce16e6478d\").bind('mousewheel', function(e) { e.preventDefault(); });\n",
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@@ -1111,7 +1125,7 @@
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@@ -1133,39 +1147,7 @@
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-   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 34,
    "id": "e4eee8a7-5d3b-4848-9cdb-2b397e158519",
    "metadata": {},
    "outputs": [],
@@ -1175,162 +1157,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 35,
    "id": "3adc8483-3207-44f1-abf5-275e925e04d4",
    "metadata": {
     "scrolled": true
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Graph Relationships with Node Attributes:\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, username: exampleUser, email: user@example.com] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category]: Relationship [created]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, username: exampleUser, email: user@example.com] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category]: Relationship [created]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, username: exampleUser, email: user@example.com] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category]: Relationship [created]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, username: exampleUser, email: user@example.com] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category]: Relationship [created]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, username: exampleUser, email: user@example.com] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category]: Relationship [created]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Historical events]: Relationship [includes]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Schedules and timelines]: Relationship [includes]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Geographical locations]: Relationship [includes]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Spatial data]: Relationship [includes]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Hypotheses and theories]: Relationship [includes]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Claims and arguments]: Relationship [includes]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: User preferences]: Relationship [includes]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: User information]: Relationship [includes]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports]: Relationship [includes]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts]: Relationship [includes]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: category] -> Target [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories]: Relationship [includes]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: For Britons, keeping pets is an entire way of life., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: d443269f-44ff-4c10-ab4a-fab9ead0f904, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Pets, especially dogs, serve as outlets for emotions and social interaction within controlled social norms., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 2d588b35-062e-44e7-bbb2-1642ba0411e3, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Dogs are encouraged and welcomed in public spaces such as pubs, shops, and public transport., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 6a34c9bd-0dee-4db0-8258-86d2dd87303d, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The rise in pet ownership and the desire for designer breeds can lead to negative outcomes for animal welfare., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 630b58dd-65f6-4d55-b3fc-67b59d696b4c, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The COVID-19 pandemic saw a surge in pet ownership, leading to growing concerns about pet abandonment and the treatment of pets as commodities., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 54db7b9e-5f2f-4287-9185-7214eb8f0ccd, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Ownership of certain dog breeds is seen as a status symbol and a reflection of owner's identity., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 53b9fc97-7c9e-46f1-ab2c-741405fa12ac, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: An increase in spending on non-essential pet products and services reflects a shift in how pets are viewed and treated., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: e221c461-f9c1-4d99-9ae5-25299b6e0516, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Britons use pets, especially dogs, as an emotional outlet for affection and social interaction., category: concept, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: 9dce0831-6e87-4fd9-93ba-e6944b22929b, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Pets in Britain are often treated as substitutes for children and valued for aesthetics, leading to questionable breeding practices., category: concept, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: f800260d-6de1-4a5f-a501-f5d58f3258c3, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: During the pandemic, the number of pet dogs in the UK rose from about nine million to 13 million, leading to issues such as increased dog attacks., category: event, memory_type: episodic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: d4beb707-c19e-45fc-8fa9-387e4410282f, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The COVID-19 pandemic led to a surge in pet ownership as people stayed home, but many pets are being rehomed as life returns to normal., category: event, memory_type: episodic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: 2f3e9b5f-17bf-4346-9cfc-104fdd467ff9, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The rise in spending on non-essential pet items, like grooming and outfits, reflects a change in how Britons care for their pets., category: concept, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: a75bae98-0748-4c4d-b807-5d3e19a9d638, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The shift from working at home to returning to the workplace has resulted in lifestyle changes not suitable for pet ownership., category: event, memory_type: episodic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: 446383f7-ebbd-4ca1-891f-f0294bb11782, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Many dogs develop behavioral problems due to lack of exercise, supervision, and consistent routines, exacerbated by their owners' busy schedules., category: concept, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: 28368449-6e7a-4dd5-89fb-7dac13995c63, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Concerns over the welfare of animals, especially dogs, in British society, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 0caf3fc9-0ad7-4012-b278-89335518e5fe, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The culture of pet ownership in Britain, with a focus on dogs being part of lifestyle and an outlet for emotions, category: culturalAspect, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 1f26c212-a164-49f5-8029-c7a36519ef41, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Increase in the number of pet dogs in the UK from about 9 million to 13 million between 2019 and 2022, category: event, memory_type: episodic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: b55e1f62-4294-456f-b42f-3283e3cb5a46, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Challenges faced by 'pandemic dogs' as they enter adolescence and owners return to offices, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 2ff11ce2-c8d9-45cd-aadb-e6875fb98708, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Rise in dog attacks recorded by police in England and Wales by more than a third between 2018 and 2022, category: event, memory_type: episodic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 67cba62f-e3ae-4db8-8c6e-b7be5e6149cb, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Re-homing of dogs post lockdown as owners' lifestyles change and the pandemic ends, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: ec1f580b-fadd-48bc-bf70-558cb6a2df05, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The trend of treating living beings, particularly dogs, as commodities rather than sentient beings, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 4dd3cb46-ca57-46ca-9781-e8b917491720, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Health problems associated with 'designer' dog breeds like French bulldogs and pugs, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 8d2c705d-f257-4611-8baa-d73f37c77bbb, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The use of certain dog breeds as status symbols, particularly regarding masculinity, category: socialAspect, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 7ee6f0a7-cf4a-4659-a886-1f0b40d75b97, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: A shift in pet ownership where pets are increasingly being treated as substitutes for children, category: trend, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: bce65459-262a-4a6b-a319-5deb8e6d0d96, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The growth of the pet industry in the UK, with spending reaching nearly £10bn, category: industry, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 4343ab14-2ab3-4e94-b25c-cf1efe8b81c6, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Rising consumerism in pet ownership, with pets being indulged with non-essential items and services, category: trend, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 48d756f6-2b24-4f43-950e-c4670d14c8c4, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Articles, essays, and reports] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The negative impact of busy modern lifestyles on dog welfare, leading to behavioral problems, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 737bce65-bb12-4d3e-ad1e-ecd756e1e842, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin is a 50-year-old man who owned a terrier-spaniel cross named Izzy and has been diagnosed with post-traumatic stress disorder following a dog attack., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 0025c486-d9eb-4820-9b95-f48a97c51d9b, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 1531d1cb-3f68-46d7-a366-48d19f26bc93, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 2b18da1f-bd6f-49a6-b058-0387898dc5dc, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: The location where Lee Parkin lived and where the dog attack on his pet Izzy occurred., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 5fddebc9-5092-46b6-9fa3-8c6170eb2e16, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully is a type of dog that attacked and killed the terrier-spaniel cross Izzy, and also injured a Siberian husky named Naevia; described as dangerously out of control by Lee Parkin., category: animal, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 0d22c2e8-a39b-4c71-abe6-88a90cdfd65d, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 58b37c6f-1574-4b93-8ee5-16a22f01aa41, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: c7bea689-6862-482a-b156-4fc1be3fa07f, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack on a beach in Redcar where Naevia, a Siberian husky, was severely injured by two XL bullies., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 69dea290-4f26-495f-b6df-c994d6de5f69, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: The location on the North Yorkshire coast where Naevia the Siberian husky was attacked by two XL bullies., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 0f371d44-7362-434d-843f-813add8f25c6, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin, owner of a terrier-spaniel cross named Izzy, experienced a traumatic event with his pet and suffers from post-traumatic stress disorder., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 6fb85c94-f488-4f31-8e7c-a5905580a78c, id: 49ab2d1b-9163-485f-81c8-8667fc707554, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 6fb85c94-f488-4f31-8e7c-a5905580a78c, id: 3a6f81c3-ecdc-483e-88dd-59068ae332b1, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully attacked and killed Izzy, a terrier-spaniel cross owned by Lee Parkin in Doncaster., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 6fb85c94-f488-4f31-8e7c-a5905580a78c, id: 5560940a-8504-40bc-94d4-71aa399af5ab, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 6fb85c94-f488-4f31-8e7c-a5905580a78c, id: ff3446b4-59ea-4ef9-969a-4afac7706aa6, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 6fb85c94-f488-4f31-8e7c-a5905580a78c, id: 9872ba50-8783-49b4-8fc4-9c53aae7cf57, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin, a 50-year-old man, owner of Izzy., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f, id: 18b461fc-af3d-4e67-8cdb-3a02eb42192c, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy, a terrier-spaniel cross owned by Lee Parkin., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f, id: 3a63bd68-0238-4865-9ea1-d7f88f58d6e8, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: XL bully, a type of dog that attacked Izzy and Naevia., category: animal, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f, id: b168a539-5398-4588-b4a4-6963c73b5526, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Marie Hay, owner of a Siberian Husky named Naevia., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f, id: 99675528-5a7f-4941-b378-87b03e151cf4, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia, a seven-year-old Siberian Husky owned by Marie Hay., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f, id: 6ebecd15-37bd-4553-9c33-89df1fea543c, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Doncaster, the town where Lee Parkin's dog Izzy was killed by an XL bully., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f, id: 90cde4a1-7b75-4e61-844f-5a5f5e602690, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: News stories and blog posts] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Redcar Beach on the North Yorkshire coast, where Naevia was attacked by two XL bullies., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f, id: f866a9f5-3b89-418e-a94b-37923e0c4982, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin is a 50-year-old man who owned a terrier-spaniel cross named Izzy and has been diagnosed with post-traumatic stress disorder following a dog attack., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 15d3a8af-4e1a-4c3f-9d29-9c46723fd03a, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: b507af42-4ef7-4cb6-8df1-236d9abc4832, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 3a47799d-afa6-4ff0-b34b-627c81e46059, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: The location where Lee Parkin lived and where the dog attack on his pet Izzy occurred., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: b0a798cb-39c3-4cab-a67c-778bc4e2df21, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully is a type of dog that attacked and killed the terrier-spaniel cross Izzy, and also injured a Siberian husky named Naevia; described as dangerously out of control by Lee Parkin., category: animal, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: c61a5496-bb75-445c-9ae4-a4cca37cd794, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: e0a882a8-f8b1-4a9f-b154-fa061eaa684b, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: b086b7b2-daf2-47f2-9a1e-35812afd9313, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack on a beach in Redcar where Naevia, a Siberian husky, was severely injured by two XL bullies., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 1b10518f-3973-4f79-9dab-3ef238c2cbaa, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: The location on the North Yorkshire coast where Naevia the Siberian husky was attacked by two XL bullies., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 59cca039-7f8b-4da5-b67d-51ac14e7c74c, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin, owner of a terrier-spaniel cross named Izzy, experienced a traumatic event with his pet and suffers from post-traumatic stress disorder., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 84fa9b73-12c0-4486-a0eb-3a03a81ca135, id: 7c87ffb5-0359-4421-8e03-61457119ca4b, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 84fa9b73-12c0-4486-a0eb-3a03a81ca135, id: f38b0084-b074-4e47-ae66-cccb9827a87f, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully attacked and killed Izzy, a terrier-spaniel cross owned by Lee Parkin in Doncaster., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 84fa9b73-12c0-4486-a0eb-3a03a81ca135, id: a942b1b8-7ff2-4177-83ef-022bb69affac, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 84fa9b73-12c0-4486-a0eb-3a03a81ca135, id: 88635a41-2a86-4bcc-bd34-affe7e302208, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 84fa9b73-12c0-4486-a0eb-3a03a81ca135, id: 13374d73-bb3b-4e2f-8a94-ff90f0056970, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin, a 50-year-old man, owner of Izzy., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d, id: 504729be-4ffc-493a-9cc8-1ae4ffc799e1, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy, a terrier-spaniel cross owned by Lee Parkin., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d, id: 517b7476-e446-4986-8445-0a2cb14e543f, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: XL bully, a type of dog that attacked Izzy and Naevia., category: animal, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d, id: 13a45934-879a-4fe4-90e9-0a5277e56297, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Marie Hay, owner of a Siberian Husky named Naevia., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d, id: 3fce46e3-8006-4940-bc47-e011408f663c, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia, a seven-year-old Siberian Husky owned by Marie Hay., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d, id: 939465bc-c763-4122-9328-984c5c59f712, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Doncaster, the town where Lee Parkin's dog Izzy was killed by an XL bully., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d, id: 3cc5365b-b9e7-46d7-81c8-e125af634e32, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:16:14, updated_at: 2024-03-04 20:16:14, type: subclass, content: Personal narratives and stories] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Redcar Beach on the North Yorkshire coast, where Naevia was attacked by two XL bullies., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d, id: 4aa02775-42e7-41d5-b91f-1f8a764657ed, type: detail]: Relationship [detail]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: For Britons, keeping pets is an entire way of life., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: d443269f-44ff-4c10-ab4a-fab9ead0f904, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Pets, especially dogs, serve as outlets for emotions and social interaction within controlled social norms., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 2d588b35-062e-44e7-bbb2-1642ba0411e3, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: For Britons, keeping pets is an entire way of life., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: d443269f-44ff-4c10-ab4a-fab9ead0f904, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The COVID-19 pandemic saw a surge in pet ownership, leading to growing concerns about pet abandonment and the treatment of pets as commodities., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 54db7b9e-5f2f-4287-9185-7214eb8f0ccd, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Pets, especially dogs, serve as outlets for emotions and social interaction within controlled social norms., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 2d588b35-062e-44e7-bbb2-1642ba0411e3, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Dogs are encouraged and welcomed in public spaces such as pubs, shops, and public transport., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 6a34c9bd-0dee-4db0-8258-86d2dd87303d, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The COVID-19 pandemic saw a surge in pet ownership, leading to growing concerns about pet abandonment and the treatment of pets as commodities., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 54db7b9e-5f2f-4287-9185-7214eb8f0ccd, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The rise in pet ownership and the desire for designer breeds can lead to negative outcomes for animal welfare., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 630b58dd-65f6-4d55-b3fc-67b59d696b4c, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Ownership of certain dog breeds is seen as a status symbol and a reflection of owner's identity., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 53b9fc97-7c9e-46f1-ab2c-741405fa12ac, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The rise in pet ownership and the desire for designer breeds can lead to negative outcomes for animal welfare., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 630b58dd-65f6-4d55-b3fc-67b59d696b4c, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: An increase in spending on non-essential pet products and services reflects a shift in how pets are viewed and treated., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: e221c461-f9c1-4d99-9ae5-25299b6e0516, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The COVID-19 pandemic saw a surge in pet ownership, leading to growing concerns about pet abandonment and the treatment of pets as commodities., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 54db7b9e-5f2f-4287-9185-7214eb8f0ccd, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: An increase in spending on non-essential pet products and services reflects a shift in how pets are viewed and treated., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: e221c461-f9c1-4d99-9ae5-25299b6e0516, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The rise in pet ownership and the desire for designer breeds can lead to negative outcomes for animal welfare., category: cultural norms, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: 67200cb4-16fc-40f9-b231-c9e720aeb14a, id: 630b58dd-65f6-4d55-b3fc-67b59d696b4c, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Britons use pets, especially dogs, as an emotional outlet for affection and social interaction., category: concept, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: 9dce0831-6e87-4fd9-93ba-e6944b22929b, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Pets in Britain are often treated as substitutes for children and valued for aesthetics, leading to questionable breeding practices., category: concept, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: f800260d-6de1-4a5f-a501-f5d58f3258c3, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Britons use pets, especially dogs, as an emotional outlet for affection and social interaction., category: concept, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: 9dce0831-6e87-4fd9-93ba-e6944b22929b, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The rise in spending on non-essential pet items, like grooming and outfits, reflects a change in how Britons care for their pets., category: concept, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: a75bae98-0748-4c4d-b807-5d3e19a9d638, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: During the pandemic, the number of pet dogs in the UK rose from about nine million to 13 million, leading to issues such as increased dog attacks., category: event, memory_type: episodic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: d4beb707-c19e-45fc-8fa9-387e4410282f, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The COVID-19 pandemic led to a surge in pet ownership as people stayed home, but many pets are being rehomed as life returns to normal., category: event, memory_type: episodic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: 2f3e9b5f-17bf-4346-9cfc-104fdd467ff9, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The COVID-19 pandemic led to a surge in pet ownership as people stayed home, but many pets are being rehomed as life returns to normal., category: event, memory_type: episodic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: 2f3e9b5f-17bf-4346-9cfc-104fdd467ff9, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The shift from working at home to returning to the workplace has resulted in lifestyle changes not suitable for pet ownership., category: event, memory_type: episodic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: 446383f7-ebbd-4ca1-891f-f0294bb11782, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The shift from working at home to returning to the workplace has resulted in lifestyle changes not suitable for pet ownership., category: event, memory_type: episodic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: 446383f7-ebbd-4ca1-891f-f0294bb11782, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Many dogs develop behavioral problems due to lack of exercise, supervision, and consistent routines, exacerbated by their owners' busy schedules., category: concept, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: ccf6645e-9fad-441b-821d-b1d47b93ebca, id: 28368449-6e7a-4dd5-89fb-7dac13995c63, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The culture of pet ownership in Britain, with a focus on dogs being part of lifestyle and an outlet for emotions, category: culturalAspect, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 1f26c212-a164-49f5-8029-c7a36519ef41, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Concerns over the welfare of animals, especially dogs, in British society, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 0caf3fc9-0ad7-4012-b278-89335518e5fe, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Increase in the number of pet dogs in the UK from about 9 million to 13 million between 2019 and 2022, category: event, memory_type: episodic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: b55e1f62-4294-456f-b42f-3283e3cb5a46, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Challenges faced by 'pandemic dogs' as they enter adolescence and owners return to offices, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 2ff11ce2-c8d9-45cd-aadb-e6875fb98708, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Challenges faced by 'pandemic dogs' as they enter adolescence and owners return to offices, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 2ff11ce2-c8d9-45cd-aadb-e6875fb98708, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Rise in dog attacks recorded by police in England and Wales by more than a third between 2018 and 2022, category: event, memory_type: episodic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 67cba62f-e3ae-4db8-8c6e-b7be5e6149cb, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Re-homing of dogs post lockdown as owners' lifestyles change and the pandemic ends, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: ec1f580b-fadd-48bc-bf70-558cb6a2df05, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The trend of treating living beings, particularly dogs, as commodities rather than sentient beings, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 4dd3cb46-ca57-46ca-9781-e8b917491720, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Health problems associated with 'designer' dog breeds like French bulldogs and pugs, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 8d2c705d-f257-4611-8baa-d73f37c77bbb, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The trend of treating living beings, particularly dogs, as commodities rather than sentient beings, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 4dd3cb46-ca57-46ca-9781-e8b917491720, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The use of certain dog breeds as status symbols, particularly regarding masculinity, category: socialAspect, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 7ee6f0a7-cf4a-4659-a886-1f0b40d75b97, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The trend of treating living beings, particularly dogs, as commodities rather than sentient beings, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 4dd3cb46-ca57-46ca-9781-e8b917491720, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: A shift in pet ownership where pets are increasingly being treated as substitutes for children, category: trend, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: bce65459-262a-4a6b-a319-5deb8e6d0d96, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Rising consumerism in pet ownership, with pets being indulged with non-essential items and services, category: trend, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 48d756f6-2b24-4f43-950e-c4670d14c8c4, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The growth of the pet industry in the UK, with spending reaching nearly £10bn, category: industry, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 4343ab14-2ab3-4e94-b25c-cf1efe8b81c6, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Rising consumerism in pet ownership, with pets being indulged with non-essential items and services, category: trend, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 48d756f6-2b24-4f43-950e-c4670d14c8c4, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: Rising consumerism in pet ownership, with pets being indulged with non-essential items and services, category: trend, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 48d756f6-2b24-4f43-950e-c4670d14c8c4, type: detail] -> Target [created_at: 2024-03-04 20:28:36, updated_at: 2024-03-04 20:28:36, description: The negative impact of busy modern lifestyles on dog welfare, leading to behavioral problems, category: issue, memory_type: semantic, layer_uuid: 66009783-f985-47e5-9553-d60573e7cc33, layer_decomposition_uuid: d0c2bd1c-7cec-4e5a-af13-dbb655623dda, id: 737bce65-bb12-4d3e-ad1e-ecd756e1e842, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin is a 50-year-old man who owned a terrier-spaniel cross named Izzy and has been diagnosed with post-traumatic stress disorder following a dog attack., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 0025c486-d9eb-4820-9b95-f48a97c51d9b, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 1531d1cb-3f68-46d7-a366-48d19f26bc93, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin is a 50-year-old man who owned a terrier-spaniel cross named Izzy and has been diagnosed with post-traumatic stress disorder following a dog attack., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 0025c486-d9eb-4820-9b95-f48a97c51d9b, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 2b18da1f-bd6f-49a6-b058-0387898dc5dc, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 1531d1cb-3f68-46d7-a366-48d19f26bc93, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 2b18da1f-bd6f-49a6-b058-0387898dc5dc, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 2b18da1f-bd6f-49a6-b058-0387898dc5dc, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: The location where Lee Parkin lived and where the dog attack on his pet Izzy occurred., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 5fddebc9-5092-46b6-9fa3-8c6170eb2e16, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 2b18da1f-bd6f-49a6-b058-0387898dc5dc, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully is a type of dog that attacked and killed the terrier-spaniel cross Izzy, and also injured a Siberian husky named Naevia; described as dangerously out of control by Lee Parkin., category: animal, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 0d22c2e8-a39b-4c71-abe6-88a90cdfd65d, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully is a type of dog that attacked and killed the terrier-spaniel cross Izzy, and also injured a Siberian husky named Naevia; described as dangerously out of control by Lee Parkin., category: animal, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 0d22c2e8-a39b-4c71-abe6-88a90cdfd65d, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: The location where Lee Parkin lived and where the dog attack on his pet Izzy occurred., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 5fddebc9-5092-46b6-9fa3-8c6170eb2e16, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully is a type of dog that attacked and killed the terrier-spaniel cross Izzy, and also injured a Siberian husky named Naevia; described as dangerously out of control by Lee Parkin., category: animal, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 0d22c2e8-a39b-4c71-abe6-88a90cdfd65d, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: The location on the North Yorkshire coast where Naevia the Siberian husky was attacked by two XL bullies., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 0f371d44-7362-434d-843f-813add8f25c6, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 58b37c6f-1574-4b93-8ee5-16a22f01aa41, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: c7bea689-6862-482a-b156-4fc1be3fa07f, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 58b37c6f-1574-4b93-8ee5-16a22f01aa41, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack on a beach in Redcar where Naevia, a Siberian husky, was severely injured by two XL bullies., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 69dea290-4f26-495f-b6df-c994d6de5f69, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: c7bea689-6862-482a-b156-4fc1be3fa07f, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack on a beach in Redcar where Naevia, a Siberian husky, was severely injured by two XL bullies., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 69dea290-4f26-495f-b6df-c994d6de5f69, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack on a beach in Redcar where Naevia, a Siberian husky, was severely injured by two XL bullies., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 69dea290-4f26-495f-b6df-c994d6de5f69, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: The location on the North Yorkshire coast where Naevia the Siberian husky was attacked by two XL bullies., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 83b60dcf-0a04-474f-962b-121cc518e610, id: 0f371d44-7362-434d-843f-813add8f25c6, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin, owner of a terrier-spaniel cross named Izzy, experienced a traumatic event with his pet and suffers from post-traumatic stress disorder., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 6fb85c94-f488-4f31-8e7c-a5905580a78c, id: 49ab2d1b-9163-485f-81c8-8667fc707554, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 6fb85c94-f488-4f31-8e7c-a5905580a78c, id: 3a6f81c3-ecdc-483e-88dd-59068ae332b1, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully attacked and killed Izzy, a terrier-spaniel cross owned by Lee Parkin in Doncaster., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 6fb85c94-f488-4f31-8e7c-a5905580a78c, id: 5560940a-8504-40bc-94d4-71aa399af5ab, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 6fb85c94-f488-4f31-8e7c-a5905580a78c, id: 3a6f81c3-ecdc-483e-88dd-59068ae332b1, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully attacked and killed Izzy, a terrier-spaniel cross owned by Lee Parkin in Doncaster., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 6fb85c94-f488-4f31-8e7c-a5905580a78c, id: 5560940a-8504-40bc-94d4-71aa399af5ab, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 6fb85c94-f488-4f31-8e7c-a5905580a78c, id: 9872ba50-8783-49b4-8fc4-9c53aae7cf57, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 6fb85c94-f488-4f31-8e7c-a5905580a78c, id: ff3446b4-59ea-4ef9-969a-4afac7706aa6, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 6fb85c94-f488-4f31-8e7c-a5905580a78c, id: 9872ba50-8783-49b4-8fc4-9c53aae7cf57, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin, a 50-year-old man, owner of Izzy., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f, id: 18b461fc-af3d-4e67-8cdb-3a02eb42192c, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy, a terrier-spaniel cross owned by Lee Parkin., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f, id: 3a63bd68-0238-4865-9ea1-d7f88f58d6e8, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy, a terrier-spaniel cross owned by Lee Parkin., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f, id: 3a63bd68-0238-4865-9ea1-d7f88f58d6e8, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Doncaster, the town where Lee Parkin's dog Izzy was killed by an XL bully., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f, id: 90cde4a1-7b75-4e61-844f-5a5f5e602690, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia, a seven-year-old Siberian Husky owned by Marie Hay., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f, id: 6ebecd15-37bd-4553-9c33-89df1fea543c, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Redcar Beach on the North Yorkshire coast, where Naevia was attacked by two XL bullies., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f, id: f866a9f5-3b89-418e-a94b-37923e0c4982, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin is a 50-year-old man who owned a terrier-spaniel cross named Izzy and has been diagnosed with post-traumatic stress disorder following a dog attack., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 15d3a8af-4e1a-4c3f-9d29-9c46723fd03a, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: b507af42-4ef7-4cb6-8df1-236d9abc4832, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin is a 50-year-old man who owned a terrier-spaniel cross named Izzy and has been diagnosed with post-traumatic stress disorder following a dog attack., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 15d3a8af-4e1a-4c3f-9d29-9c46723fd03a, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 3a47799d-afa6-4ff0-b34b-627c81e46059, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: b507af42-4ef7-4cb6-8df1-236d9abc4832, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 3a47799d-afa6-4ff0-b34b-627c81e46059, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 3a47799d-afa6-4ff0-b34b-627c81e46059, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: The location where Lee Parkin lived and where the dog attack on his pet Izzy occurred., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: b0a798cb-39c3-4cab-a67c-778bc4e2df21, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 3a47799d-afa6-4ff0-b34b-627c81e46059, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully is a type of dog that attacked and killed the terrier-spaniel cross Izzy, and also injured a Siberian husky named Naevia; described as dangerously out of control by Lee Parkin., category: animal, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: c61a5496-bb75-445c-9ae4-a4cca37cd794, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully is a type of dog that attacked and killed the terrier-spaniel cross Izzy, and also injured a Siberian husky named Naevia; described as dangerously out of control by Lee Parkin., category: animal, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: c61a5496-bb75-445c-9ae4-a4cca37cd794, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: The location where Lee Parkin lived and where the dog attack on his pet Izzy occurred., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: b0a798cb-39c3-4cab-a67c-778bc4e2df21, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully is a type of dog that attacked and killed the terrier-spaniel cross Izzy, and also injured a Siberian husky named Naevia; described as dangerously out of control by Lee Parkin., category: animal, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: c61a5496-bb75-445c-9ae4-a4cca37cd794, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: The location on the North Yorkshire coast where Naevia the Siberian husky was attacked by two XL bullies., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 59cca039-7f8b-4da5-b67d-51ac14e7c74c, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: e0a882a8-f8b1-4a9f-b154-fa061eaa684b, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: b086b7b2-daf2-47f2-9a1e-35812afd9313, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: e0a882a8-f8b1-4a9f-b154-fa061eaa684b, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack on a beach in Redcar where Naevia, a Siberian husky, was severely injured by two XL bullies., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 1b10518f-3973-4f79-9dab-3ef238c2cbaa, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: b086b7b2-daf2-47f2-9a1e-35812afd9313, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack on a beach in Redcar where Naevia, a Siberian husky, was severely injured by two XL bullies., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 1b10518f-3973-4f79-9dab-3ef238c2cbaa, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: A dog attack on a beach in Redcar where Naevia, a Siberian husky, was severely injured by two XL bullies., category: event, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 1b10518f-3973-4f79-9dab-3ef238c2cbaa, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: The location on the North Yorkshire coast where Naevia the Siberian husky was attacked by two XL bullies., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 92562711-f2a9-4ce6-9c7d-d5226080f982, id: 59cca039-7f8b-4da5-b67d-51ac14e7c74c, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin, owner of a terrier-spaniel cross named Izzy, experienced a traumatic event with his pet and suffers from post-traumatic stress disorder., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 84fa9b73-12c0-4486-a0eb-3a03a81ca135, id: 7c87ffb5-0359-4421-8e03-61457119ca4b, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 84fa9b73-12c0-4486-a0eb-3a03a81ca135, id: f38b0084-b074-4e47-ae66-cccb9827a87f, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully attacked and killed Izzy, a terrier-spaniel cross owned by Lee Parkin in Doncaster., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 84fa9b73-12c0-4486-a0eb-3a03a81ca135, id: a942b1b8-7ff2-4177-83ef-022bb69affac, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 84fa9b73-12c0-4486-a0eb-3a03a81ca135, id: f38b0084-b074-4e47-ae66-cccb9827a87f, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: An XL bully attacked and killed Izzy, a terrier-spaniel cross owned by Lee Parkin in Doncaster., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 84fa9b73-12c0-4486-a0eb-3a03a81ca135, id: a942b1b8-7ff2-4177-83ef-022bb69affac, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 84fa9b73-12c0-4486-a0eb-3a03a81ca135, id: 13374d73-bb3b-4e2f-8a94-ff90f0056970, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 84fa9b73-12c0-4486-a0eb-3a03a81ca135, id: 88635a41-2a86-4bcc-bd34-affe7e302208, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 84fa9b73-12c0-4486-a0eb-3a03a81ca135, id: 13374d73-bb3b-4e2f-8a94-ff90f0056970, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Lee Parkin, a 50-year-old man, owner of Izzy., category: person, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d, id: 504729be-4ffc-493a-9cc8-1ae4ffc799e1, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy, a terrier-spaniel cross owned by Lee Parkin., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d, id: 517b7476-e446-4986-8445-0a2cb14e543f, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Izzy, a terrier-spaniel cross owned by Lee Parkin., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d, id: 517b7476-e446-4986-8445-0a2cb14e543f, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Doncaster, the town where Lee Parkin's dog Izzy was killed by an XL bully., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d, id: 3cc5365b-b9e7-46d7-81c8-e125af634e32, type: detail]: Relationship [relation]\n",
-      "Source [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Naevia, a seven-year-old Siberian Husky owned by Marie Hay., category: animal, memory_type: episodic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d, id: 939465bc-c763-4122-9328-984c5c59f712, type: detail] -> Target [created_at: 2024-03-04 20:28:37, updated_at: 2024-03-04 20:28:37, description: Redcar Beach on the North Yorkshire coast, where Naevia was attacked by two XL bullies., category: location, memory_type: semantic, layer_uuid: d0fde4d0-c358-44b2-b698-a19314a336e0, layer_decomposition_uuid: 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d, id: 4aa02775-42e7-41d5-b91f-1f8a764657ed, type: detail]: Relationship [relation]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# def list_graph_relationships_with_node_attributes(graph):\n",
     "#     print(\"Graph Relationships with Node Attributes:\")\n",
@@ -1352,31 +1184,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "734a1d1d-a583-4d3f-a1e2-a33f339bfaf0",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1ace3c0f-93f3-47aa-81d6-0e3297971b5a",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "de96473f-620c-4d14-8e43-380507d06988",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 294,
+   "execution_count": 36,
    "id": "c5e2c97c-9b80-4e4b-a80c-940e5428419e",
    "metadata": {},
    "outputs": [],
@@ -1403,7 +1211,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 303,
+   "execution_count": 37,
    "id": "a0a7fac1-0e8b-41de-b33f-435496ec1865",
    "metadata": {},
    "outputs": [],
@@ -1416,15 +1224,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "fee432d0-75de-43b2-9a3b-3b8844a2cf19",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 38,
    "id": "c214724e-4bb3-4b75-b104-77ac98348394",
    "metadata": {},
    "outputs": [
@@ -1432,11 +1232,11 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'node_id': '64dc73e6-80dd-445a-90b0-62a0347078a2', 'description': 'Britons have always been a bit silly about animals', 'layer_uuid': '477a62a9-75b5-4952-ab77-e204cacabfc3', 'layer_decomposition_uuid': '0f7d991f-c008-4bf7-89c2-0f8d4ef002a7'}\n",
-      "{'node_id': 'e257bb6a-832a-4184-b990-c43f14979245', 'description': 'anthropologist who wrote Watching the English', 'layer_uuid': '477a62a9-75b5-4952-ab77-e204cacabfc3', 'layer_decomposition_uuid': '0f7d991f-c008-4bf7-89c2-0f8d4ef002a7'}\n",
-      "{'node_id': '4e3fd7f4-fbb5-4558-bb5d-fcca0156ca8f', 'description': 'Dogs in Britain serve as an outlet for emotions and impulses', 'layer_uuid': '477a62a9-75b5-4952-ab77-e204cacabfc3', 'layer_decomposition_uuid': '0f7d991f-c008-4bf7-89c2-0f8d4ef002a7'}\n",
-      "{'node_id': 'dfe41e11-13f3-413a-a580-c9c5fc415acc', 'description': 'British society accommodates dogs in public spaces', 'layer_uuid': '477a62a9-75b5-4952-ab77-e204cacabfc3', 'layer_decomposition_uuid': '0f7d991f-c008-4bf7-89c2-0f8d4ef002a7'}\n",
-      "{'node_id': '56a48bd0-f517-4968-bb6d-1a6b798537ed', 'description': 'Charity that coined the slogan A dog is for life, not just for Christmas', 'layer_uuid': '477a62a9-75b5-4952-ab77-e204cacabfc3', 'layer_decomposition_uuid': '0f7d991f-c008-4bf7-89c2-0f8d4ef002a7'}\n"
+      "{'node_id': '1377f8b9-9af1-49ad-a29b-ca456a5006b6', 'description': 'Britons', 'layer_uuid': 'abab18eb-8eb8-4299-9a6a-96101c7dc87f', 'layer_decomposition_uuid': 'e800462b-fbe4-4ea9-a71b-fc8eda28728f'}\n",
+      "{'node_id': '98329542-0508-4077-87e4-c0fe19f89b49', 'description': 'animals', 'layer_uuid': 'abab18eb-8eb8-4299-9a6a-96101c7dc87f', 'layer_decomposition_uuid': 'e800462b-fbe4-4ea9-a71b-fc8eda28728f'}\n",
+      "{'node_id': '0c2f31b3-290b-4bdd-9da2-73eb2bfd1807', 'description': 'Kate Fox', 'layer_uuid': 'abab18eb-8eb8-4299-9a6a-96101c7dc87f', 'layer_decomposition_uuid': 'e800462b-fbe4-4ea9-a71b-fc8eda28728f'}\n",
+      "{'node_id': '3c4bf5e9-d95e-4d3c-9204-1d8919ff36c3', 'description': 'Watching the English', 'layer_uuid': 'abab18eb-8eb8-4299-9a6a-96101c7dc87f', 'layer_decomposition_uuid': 'e800462b-fbe4-4ea9-a71b-fc8eda28728f'}\n",
+      "{'node_id': '993368e9-4af4-4225-b737-89cbc72acef2', 'description': 'dogs', 'layer_uuid': 'abab18eb-8eb8-4299-9a6a-96101c7dc87f', 'layer_decomposition_uuid': 'e800462b-fbe4-4ea9-a71b-fc8eda28728f'}\n"
      ]
     }
    ],
@@ -1475,7 +1275,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 187,
+   "execution_count": 39,
    "id": "65178488-6424-4f40-8420-edf921ff1678",
    "metadata": {},
    "outputs": [],
@@ -1486,7 +1286,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 225,
+   "execution_count": 40,
    "id": "d8e722e9-bffe-430f-bedd-b38dfbe1774e",
    "metadata": {},
    "outputs": [],
@@ -1497,7 +1297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 238,
+   "execution_count": 41,
    "id": "19ba87f3-a9d9-43d6-8a8d-b2491ace5330",
    "metadata": {},
    "outputs": [],
@@ -1522,7 +1322,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 42,
    "id": "8812936f-2b3c-4084-a75a-a79ac8726a62",
    "metadata": {},
    "outputs": [],
@@ -1532,15 +1332,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 43,
    "id": "599cd4f9-4f8d-4321-83a5-fa153d029115",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "from cognitive_architecture.infrastructure.databases.vector.qdrant.adapter import CollectionConfig\n",
+    "from cognitive_architecture.infrastructure.llm.get_llm_client import get_llm_client"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 44,
    "id": "39932ec2-3197-46db-bf68-ee2868ab15d1",
    "metadata": {},
    "outputs": [],
@@ -1550,7 +1353,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 45,
    "id": "b14cc96a-ecd4-4532-a8d0-02071f8d93fc",
    "metadata": {},
    "outputs": [],
@@ -1563,7 +1366,7 @@
     "nest_asyncio.apply()\n",
     "\n",
     "# Your async function and the list of texts remain the same\n",
-    "texts = [\"Text 1\", \"Text 2\", \"Text 3\"]  # Example list of texts\n",
+    "# texts = [\"Text 1\", \"Text 2\", \"Text 3\"]  # Example list of texts\n",
     "\n",
     "async def get_embeddings(texts):\n",
     "    client = get_llm_client()\n",
@@ -1577,51 +1380,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
-   "id": "9238422f-5a1b-48b9-9ea8-e0973bca2f8a",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "7befc950-f0d5-4807-909e-1946c17e3a9b",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "id": "0c4670d9-c7e3-476e-be90-7cb52efd6f3b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# embedding = get_embedding(\"Example text to encode\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "id": "d9ce8103-375d-4e77-8d64-46edc753b375",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 78,
    "id": "91763457-bf41-4e60-ad8f-0bd5542b250a",
    "metadata": {},
    "outputs": [],
    "source": [
-    "from qdrant_client import models, QdrantClient"
+    "from qdrant_client import models, QdrantClient, AsyncQdrantClient"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 80,
+   "id": "adbee010-3f05-4ee7-8ff4-2072158467fe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "qdrant = AsyncQdrantClient(\n",
+    "                url = os.getenv('QDRANT_URL'),\n",
+    "                api_key = os.getenv('QDRANT_API_KEY'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
    "id": "c35342d7-a3ce-491b-971d-142b52110bca",
    "metadata": {},
    "outputs": [],
@@ -1631,7 +1412,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 48,
    "id": "e8ccd86e-01d0-44ac-9376-c848bed1adad",
    "metadata": {},
    "outputs": [],
@@ -1641,41 +1422,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 441,
-   "id": "6470ed2b-1842-43f2-9ac4-88db32909ec6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# unique_layer_uuids"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 231,
-   "id": "92c76fe6-bdbb-40d6-b136-3b83b1d85b32",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "\n",
-    "# # Create a new collection in Qdrant\n",
-    "# def create_collection(collection_name):\n",
-    "#     qdrant.recreate_collection(\n",
-    "#         collection_name=collection_name,\n",
-    "#         vectors_config={\n",
-    "#             'content': rest.VectorParams(\n",
-    "#                 distance=rest.Distance.COSINE,\n",
-    "#                 size=3072,\n",
-    "#             )\n",
-    "#         }\n",
-    "#     )\n",
-    "# for layer in unique_layer_uuids:\n",
-    "#     create_collection(layer)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 49,
    "id": "0ec047e1-2484-491c-9e63-5c1f893b54b6",
    "metadata": {},
    "outputs": [],
@@ -1687,17 +1434,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": null,
    "id": "6df93ac0-284f-49c8-b053-50ee57c3b03a",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "from cognitive_architecture.infrastructure.databases.vector.qdrant.adapter import CollectionConfig"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 88,
    "id": "f5854668-9620-463b-af40-719e9eaab9da",
    "metadata": {},
    "outputs": [],
@@ -1717,49 +1462,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 89,
    "id": "a064f81c-2c99-4929-b6c0-bf2896789967",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# await db.create_collection(\"blabla\",collection_config)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": null,
+   "id": "3c34e888-e325-4f33-a73f-7e2d4ee923bd",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
    "id": "272883d1-c3e1-4c9b-85a8-8de0840a4a53",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/d_/1x0yyl7n5g5cc8vlgchdr06m0000gn/T/ipykernel_32956/2754262129.py:2: RuntimeWarning: coroutine 'QDrantAdapter.create_collection' was never awaited\n",
-      "  db.create_collection(layer,collection_config)\n",
-      "RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "for layer in unique_layer_uuids:\n",
-    "    db.create_collection(layer,collection_config)"
+    "    await db.create_collection(layer,collection_config)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 440,
+   "execution_count": 41,
    "id": "3c53de05-65d2-4232-bb23-f1b50fbd36c8",
    "metadata": {},
    "outputs": [],
@@ -1771,7 +1503,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 233,
+   "execution_count": 42,
    "id": "b810075a-3c1a-4e2e-98d6-150427951491",
    "metadata": {},
    "outputs": [],
@@ -1784,56 +1516,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 234,
+   "execution_count": null,
    "id": "313a893d-31b5-4599-8f6f-2a2cd0759fa0",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# collection_name = 'Articles'\n",
-    "\n",
-    "# # Create a new collection in Qdrant\n",
-    "# def create_collection(collection_name):\n",
-    "#     qdrant.recreate_collection(\n",
-    "#         collection_name=collection_name,\n",
-    "#         vectors_config={\n",
-    "#             'content': rest.VectorParams(\n",
-    "#                 distance=rest.Distance.COSINE,\n",
-    "#                 size=3072,\n",
-    "#             )\n",
-    "#         }\n",
-    "#     )\n",
-    "\n",
-    "# Function to upload embeddings to Qdrant\n",
-    "# def upload_embedding(id, metadata, some_embeddings, collection_name):\n",
-    "#     qdrant.upload_points(\n",
-    "#         collection_name=collection_name,\n",
-    "#         points=[\n",
-    "#             models.PointStruct(\n",
-    "#                 id=idx, vector={\"content\":doc}, payload=metadata\n",
-    "#             )\n",
-    "#             for idx, doc in enumerate(some_embeddings)\n",
-    "#         ],\n",
-    "#     )\n",
-    "\n",
-    "# # Example usage\n",
-    "# upload_embedding(1, (\"meta\":1}, some_embeddings, collection_name)"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 94,
    "id": "1aed2283-f889-42d2-bbc2-05341a145583",
    "metadata": {},
    "outputs": [],
    "source": [
     "async def upload_embedding(id, metadata, some_embeddings, collection_name):\n",
-    "    print(id)\n",
     "    # if some_embeddings and isinstance(some_embeddings[0], list):\n",
     "    #     some_embeddings = [item for sublist in some_embeddings for item in sublist]\n",
+    "\n",
     "    \n",
-    "    db.create_data_points(\n",
+    "    await db.create_data_points(\n",
     "        collection_name=collection_name,\n",
-    "        points=[\n",
+    "        data_points=[\n",
     "            models.PointStruct(\n",
     "                id=id, vector={\"content\":some_embeddings}, payload=metadata\n",
     "            )\n",
@@ -1852,67 +1555,87 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 44,
    "id": "49b94ef4-6f40-474c-8610-367f98860d59",
    "metadata": {},
    "outputs": [],
    "source": [
-    "async def upload_embeddings(node_descriptions):\n",
-    "    tasks = []\n",
+    "# async def upload_embeddings(node_descriptions):\n",
+    "#     tasks = []\n",
     "\n",
-    "    for item in node_descriptions:  \n",
-    "        try:\n",
-    "            embedding = await get_embeddings(item['description'])\n",
-    "            # Ensure embedding is not empty and is properly structured\n",
-    "            # if embedding and all(isinstance(e, float) for sublist in embedding for e in (sublist if isinstance(sublist, list) else [sublist])):\n",
-    "            #     # Flatten embedding if it's a list of lists\n",
-    "            #     if isinstance(embedding[0], list):\n",
-    "            #         embedding = [e for sublist in embedding for e in sublist]\n",
-    "            #     print(f\"Uploading embedding for node_id {item['node_id']} with length {len(embedding)}\")\n",
+    "#     for item in node_descriptions:  \n",
+    "#         try:\n",
+    "#             embedding = await get_embeddings(item['description'])\n",
+    "#             # Ensure embedding is not empty and is properly structured\n",
+    "#             # if embedding and all(isinstance(e, float) for sublist in embedding for e in (sublist if isinstance(sublist, list) else [sublist])):\n",
+    "#             #     # Flatten embedding if it's a list of lists\n",
+    "#             #     if isinstance(embedding[0], list):\n",
+    "#             #         embedding = [e for sublist in embedding for e in sublist]\n",
+    "#             #     print(f\"Uploading embedding for node_id {item['node_id']} with length {len(embedding)}\")\n",
     "\n",
-    "                # Create and append the upload task\n",
-    "                task = asyncio.create_task(upload_embedding(\n",
-    "                    id=item['node_id'],\n",
-    "                    metadata={\"meta\": item['description']},\n",
-    "                    some_embeddings=embedding,\n",
-    "                    collection_name=item['layer_decomposition_uuid']\n",
-    "                ))\n",
-    "                tasks.append(task)\n",
-    "            else:\n",
-    "                print(f\"Skipping upload for node_id {item['node_id']} due to incorrect embedding format or empty embedding.\")\n",
-    "        except Exception as e:\n",
-    "            print(f\"Error processing embedding for node_id {item['node_id']}: {e}\")\n",
+    "#                 # Create and append the upload task\n",
+    "#                 task = asyncio.create_task(upload_embedding(\n",
+    "#                     id=item['node_id'],\n",
+    "#                     metadata={\"meta\": item['description']},\n",
+    "#                     some_embeddings=embedding,\n",
+    "#                     collection_name=item['layer_decomposition_uuid']\n",
+    "#                 ))\n",
+    "#                 tasks.append(task)\n",
+    "#             else:\n",
+    "#                 print(f\"Skipping upload for node_id {item['node_id']} due to incorrect embedding format or empty embedding.\")\n",
+    "#         except Exception as e:\n",
+    "#             print(f\"Error processing embedding for node_id {item['node_id']}: {e}\")\n",
     "\n",
-    "    # Wait for all upload tasks to complete, if any\n",
-    "    if tasks:\n",
-    "        await asyncio.gather(*tasks)\n",
-    "    else:\n",
-    "        print(\"No valid embeddings to upload.\")"
+    "#     # Wait for all upload tasks to complete, if any\n",
+    "#     if tasks:\n",
+    "#         await asyncio.gather(*tasks)\n",
+    "#     else:\n",
+    "#         print(\"No valid embeddings to upload.\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 438,
+   "execution_count": null,
    "id": "fb0235a8-7e91-4d34-9058-0cdd1dc7cfe7",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# unique_layer_uuids"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 439,
+   "execution_count": null,
    "id": "4cd43233-533a-4929-b3f2-7b8a310669a8",
    "metadata": {},
    "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "id": "28bab5ad-cfcc-45e0-9ad9-b8736b907b39",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'node_id': '1377f8b9-9af1-49ad-a29b-ca456a5006b6',\n",
+       " 'description': 'Britons',\n",
+       " 'layer_uuid': 'abab18eb-8eb8-4299-9a6a-96101c7dc87f',\n",
+       " 'layer_decomposition_uuid': 'e800462b-fbe4-4ea9-a71b-fc8eda28728f'}"
+      ]
+     },
+     "execution_count": 91,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# node_descriptions[:2]"
+    "node_descriptions[:5][0]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 95,
    "id": "68f5a029-b1d3-4476-896d-711462099d52",
    "metadata": {},
    "outputs": [
@@ -1920,134 +1643,106 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "64dc73e6-80dd-445a-90b0-62a0347078a2\n",
-      "B\n",
+      "Britons\n",
       "text-embedding-3-large\n",
-      "r\n",
+      "animals\n",
       "text-embedding-3-large\n",
-      "i\n",
+      "Kate Fox\n",
       "text-embedding-3-large\n",
-      "t\n",
+      "Watching the English\n",
       "text-embedding-3-large\n",
-      "o\n",
+      "dogs\n",
       "text-embedding-3-large\n",
-      "n\n",
+      "United Kingdom\n",
       "text-embedding-3-large\n",
-      "s\n",
+      "Australia\n",
       "text-embedding-3-large\n",
-      " \n",
+      "New Zealand\n",
       "text-embedding-3-large\n",
-      "h\n",
+      "Dogs Trust\n",
       "text-embedding-3-large\n",
-      "a\n",
+      "the pandemic\n",
       "text-embedding-3-large\n",
-      "v\n",
+      "Britons have always had a special relationship with animals, viewing pet-keeping not just as a leisure activity but as an entire way of life. This is particularly true for dogs, which serve as an acceptable outlet for emotions and impulses that are otherwise kept controlled.\n",
       "text-embedding-3-large\n",
-      "e\n",
+      "British society is accommodating to dogs, evident from dogs being encouraged on public transport and welcome signs in many establishments.\n",
       "text-embedding-3-large\n",
-      " \n",
+      "The number of pet dogs in the UK increased from about 9 million to 13 million between 2019 and 2022, indicating a pet ownership boom during the pandemic.\n",
       "text-embedding-3-large\n",
-      "a\n",
+      "In the nicest possible way, Britons have always been a bit silly about animals\n",
       "text-embedding-3-large\n",
-      "l\n",
+      "Dogs serve as an acceptable outlet for Britons to be affectionate, to be silly, and to chat with strangers\n",
       "text-embedding-3-large\n",
-      "w\n",
+      "Kate Fox, anthropologist\n",
       "text-embedding-3-large\n",
-      "a\n",
+      "Watching the English, book by Kate Fox written nearly 20 years ago\n",
       "text-embedding-3-large\n",
-      "y\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
       "text-embedding-3-large\n",
-      "s\n",
+      "A dog is for life, not just for Christmas, slogan by Dogs Trust charity coined in 1978\n",
       "text-embedding-3-large\n",
-      " \n",
+      "Britons have always been a bit silly about animals, keeping pets is an essential way of life\n",
       "text-embedding-3-large\n",
-      "b\n",
+      "Pets, especially dogs, are an outlet for emotions and impulses like affection and desire to chat with strangers\n",
       "text-embedding-3-large\n",
-      "e\n",
+      "In the UK, unlike Australia or New Zealand, dogs are openly encouraged on public transport\n",
       "text-embedding-3-large\n",
-      "e\n",
+      "Many pubs and shops in the UK display signs like Dogs welcome, people tolerated and have treat jars for dogs\n",
       "text-embedding-3-large\n",
-      "n\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about 9 million to 13 million\n",
       "text-embedding-3-large\n",
-      " \n",
+      "Dogs Trust charity coined the slogan A dog is for life, not just for Christmas in 1978\n",
       "text-embedding-3-large\n",
-      "a\n",
+      "Britons have always been a bit silly about animals, considering keeping pets as an entire way of life.\n",
       "text-embedding-3-large\n",
-      " \n",
+      "Dogs serve as an acceptable outlet for Britons' emotions and impulses they otherwise keep strictly controlled.\n",
       "text-embedding-3-large\n",
-      "b\n",
+      "In the UK, unlike Australia or New Zealand, dogs are not just permitted on public transport but often openly encouraged.\n",
       "text-embedding-3-large\n",
-      "i\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic.\n",
       "text-embedding-3-large\n",
-      "t\n",
+      "The Dogs Trust charity coined its famous slogan \"A dog is for life, not just for Christmas\" back in 1978.\n",
       "text-embedding-3-large\n",
-      " \n",
+      "Britons have always been a bit silly about animals\n",
       "text-embedding-3-large\n",
-      "s\n",
+      "Kate Fox: Keeping pets is not a leisure activity but an entire way of life for the English\n",
       "text-embedding-3-large\n",
-      "i\n",
+      "Dogs serve as an outlet for emotions and impulses\n",
       "text-embedding-3-large\n",
-      "l\n",
+      "British society accommodates dogs in public transport and establishments\n",
       "text-embedding-3-large\n",
-      "l\n",
+      "Britons' passion for animals has been consistent amid dwindling common ground\n",
       "text-embedding-3-large\n",
-      "y\n",
+      "The pandemic unleashed a trend of acquiring dogs, increasing UK dog population from about 9 million to 13 million between 2019 and 2022\n",
       "text-embedding-3-large\n",
-      " \n",
+      "Dogs Trust slogan coined in 1978: A dog is for life, not just for Christmas\n",
       "text-embedding-3-large\n",
-      "a\n",
+      "Keeping pets, for the English, is not so much a leisure activity as it is an entire way of life\n",
       "text-embedding-3-large\n",
-      "b\n",
+      "Kate Fox, anthropologist who wrote Watching the English\n",
       "text-embedding-3-large\n",
-      "o\n",
+      "Dogs as an acceptable outlet for emotions and impulses kept strictly controlled\n",
       "text-embedding-3-large\n",
-      "u\n",
+      "Dogs are not just permitted on public transport in the UK but often openly encouraged\n",
       "text-embedding-3-large\n",
-      "t\n",
+      "Many pubs and shops in the UK display signs reading Dogs welcome, people tolerated and have treat jars on their counters\n",
       "text-embedding-3-large\n",
-      " \n",
+      "A dog is for life, not just for Christmas\n",
       "text-embedding-3-large\n",
-      "a\n",
-      "text-embedding-3-large\n",
-      "n\n",
-      "text-embedding-3-large\n",
-      "i\n",
-      "text-embedding-3-large\n",
-      "m\n",
-      "text-embedding-3-large\n",
-      "a\n",
-      "text-embedding-3-large\n",
-      "l\n",
-      "text-embedding-3-large\n",
-      "s\n",
-      "text-embedding-3-large\n",
-      "64dc73e6-80dd-445a-90b0-62a0347078a2\n"
-     ]
-    },
-    {
-     "ename": "ValidationError",
-     "evalue": "52 validation errors for PointStruct\nvector.list[float]\n  Input should be a valid list [type=list_type, input_value={'content': [[0.018905930...-0.004104331601411104]]}, input_type=dict]\n    For further information visit https://errors.pydantic.dev/2.6/v/list_type\nvector.dict[str,union[SparseVector,list[float]]].content.SparseVector\n  Input should be a valid dictionary or instance of SparseVector [type=model_type, input_value=[[0.01890593022108078, -0... -0.004104331601411104]], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/model_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].0\n  Input should be a valid number [type=float_type, input_value=[0.01890593022108078, -0....5, 0.002567084738984704], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].1\n  Input should be a valid number [type=float_type, input_value=[-0.041917040944099426, 0...1, 0.018752360716462135], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].2\n  Input should be a valid number [type=float_type, input_value=[-0.005635132547467947, -..., -0.020123090595006943], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].3\n  Input should be a valid number [type=float_type, input_value=[-0.02759934961795807, -0...7, 0.008085954003036022], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].4\n  Input should be a valid number [type=float_type, input_value=[-0.008647669106721878, -...7, -0.01781305857002735], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].5\n  Input should be a valid number [type=float_type, input_value=[-0.015886995941400528, -...6, -0.03170854598283768], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].6\n  Input should be a valid number [type=float_type, input_value=[0.0009654256864450872, -..., -0.004048853646963835], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].7\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].8\n  Input should be a valid number [type=float_type, input_value=[-0.03746585175395012, -0...7, -0.00515681691467762], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].9\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].10\n  Input should be a valid number [type=float_type, input_value=[-0.003286773571744561, -..., -0.039368242025375366], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].11\n  Input should be a valid number [type=float_type, input_value=[-0.009068907238543034, -..., 0.0012158387107774615], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].12\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].13\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].14\n  Input should be a valid number [type=float_type, input_value=[-0.02879006415605545, -0..., -0.007492232136428356], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].15\n  Input should be a valid number [type=float_type, input_value=[-0.011524682864546776, -... -0.0064133754931390285], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].16\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].17\n  Input should be a valid number [type=float_type, input_value=[0.006939048878848553, -0...1, -0.01403720024973154], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].18\n  Input should be a valid number [type=float_type, input_value=[0.0009654256864450872, -..., -0.004048853646963835], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].19\n  Input should be a valid number [type=float_type, input_value=[0.0075918640941381454, 0... -0.0064438628032803535], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].20\n  Input should be a valid number [type=float_type, input_value=[0.011183843947947025, -0..., 0.0002425435377517715], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].21\n  Input should be a valid number [type=float_type, input_value=[-0.009068907238543034, -..., 0.0012158387107774615], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].22\n  Input should be a valid number [type=float_type, input_value=[-0.009068907238543034, -..., 0.0012158387107774615], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].23\n  Input should be a valid number [type=float_type, input_value=[-0.015886995941400528, -...6, -0.03170854598283768], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].24\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].25\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].26\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].27\n  Input should be a valid number [type=float_type, input_value=[0.011183843947947025, -0..., 0.0002425435377517715], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].28\n  Input should be a valid number [type=float_type, input_value=[-0.005635132547467947, -..., -0.020123090595006943], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].29\n  Input should be a valid number [type=float_type, input_value=[-0.02759934961795807, -0...7, 0.008085954003036022], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].30\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].31\n  Input should be a valid number [type=float_type, input_value=[0.0009654256864450872, -..., -0.004048853646963835], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].32\n  Input should be a valid number [type=float_type, input_value=[-0.005635132547467947, -..., -0.020123090595006943], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].33\n  Input should be a valid number [type=float_type, input_value=[-0.028791850432753563, -..., -0.007501907180994749], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].34\n  Input should be a valid number [type=float_type, input_value=[-0.028791850432753563, -..., -0.007501907180994749], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].35\n  Input should be a valid number [type=float_type, input_value=[0.0069252001121640205, -...1, -0.01401674933731556], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].36\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].37\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].38\n  Input should be a valid number [type=float_type, input_value=[0.011183843947947025, -0..., 0.0002425435377517715], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].39\n  Input should be a valid number [type=float_type, input_value=[-0.008647669106721878, -...7, -0.01781305857002735], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].40\n  Input should be a valid number [type=float_type, input_value=[0.020901447162032127, -0..., -0.006658794358372688], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].41\n  Input should be a valid number [type=float_type, input_value=[-0.02759934961795807, -0...7, 0.008085954003036022], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].42\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].43\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].44\n  Input should be a valid number [type=float_type, input_value=[-0.015886995941400528, -...6, -0.03170854598283768], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].45\n  Input should be a valid number [type=float_type, input_value=[-0.005635132547467947, -..., -0.020123090595006943], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].46\n  Input should be a valid number [type=float_type, input_value=[-0.01000166591256857, -0...9, 0.016262251883745193], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].47\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].48\n  Input should be a valid number [type=float_type, input_value=[-0.028791850432753563, -..., -0.007501907180994749], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].49\n  Input should be a valid number [type=float_type, input_value=[0.001023229444399476, -0..., -0.004104331601411104], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValidationError\u001b[0m                           Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[99], line 4\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28mprint\u001b[39m(item[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnode_id\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m      3\u001b[0m vv \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m get_embeddings(item[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdescription\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m----> 4\u001b[0m \u001b[38;5;28;01mawait\u001b[39;00m upload_embedding(\u001b[38;5;28mid\u001b[39m \u001b[38;5;241m=\u001b[39m item[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnode_id\u001b[39m\u001b[38;5;124m'\u001b[39m], metadata \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmeta\u001b[39m\u001b[38;5;124m\"\u001b[39m:item[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdescription\u001b[39m\u001b[38;5;124m'\u001b[39m]}, some_embeddings \u001b[38;5;241m=\u001b[39m vv, collection_name\u001b[38;5;241m=\u001b[39m item[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlayer_decomposition_uuid\u001b[39m\u001b[38;5;124m'\u001b[39m])\n",
-      "Cell \u001b[0;32mIn[95], line 9\u001b[0m, in \u001b[0;36mupload_embedding\u001b[0;34m(id, metadata, some_embeddings, collection_name)\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;28mid\u001b[39m)\n\u001b[1;32m      3\u001b[0m \u001b[38;5;66;03m# if some_embeddings and isinstance(some_embeddings[0], list):\u001b[39;00m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;66;03m#     some_embeddings = [item for sublist in some_embeddings for item in sublist]\u001b[39;00m\n\u001b[1;32m      6\u001b[0m db\u001b[38;5;241m.\u001b[39mcreate_data_points(\n\u001b[1;32m      7\u001b[0m     collection_name\u001b[38;5;241m=\u001b[39mcollection_name,\n\u001b[1;32m      8\u001b[0m     points\u001b[38;5;241m=\u001b[39m[\n\u001b[0;32m----> 9\u001b[0m         \u001b[43mmodels\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPointStruct\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     10\u001b[0m \u001b[43m            \u001b[49m\u001b[38;5;28;43mid\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mid\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvector\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcontent\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43msome_embeddings\u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpayload\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmetadata\u001b[49m\n\u001b[1;32m     11\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     12\u001b[0m     ]\n\u001b[1;32m     13\u001b[0m     ,\n\u001b[1;32m     14\u001b[0m )\n",
-      "File \u001b[0;32m~/Projects/cognee/.venv/lib/python3.11/site-packages/pydantic/main.py:171\u001b[0m, in \u001b[0;36mBaseModel.__init__\u001b[0;34m(self, **data)\u001b[0m\n\u001b[1;32m    169\u001b[0m \u001b[38;5;66;03m# `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks\u001b[39;00m\n\u001b[1;32m    170\u001b[0m __tracebackhide__ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m--> 171\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__pydantic_validator__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalidate_python\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mself_instance\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n",
-      "\u001b[0;31mValidationError\u001b[0m: 52 validation errors for PointStruct\nvector.list[float]\n  Input should be a valid list [type=list_type, input_value={'content': [[0.018905930...-0.004104331601411104]]}, input_type=dict]\n    For further information visit https://errors.pydantic.dev/2.6/v/list_type\nvector.dict[str,union[SparseVector,list[float]]].content.SparseVector\n  Input should be a valid dictionary or instance of SparseVector [type=model_type, input_value=[[0.01890593022108078, -0... -0.004104331601411104]], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/model_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].0\n  Input should be a valid number [type=float_type, input_value=[0.01890593022108078, -0....5, 0.002567084738984704], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].1\n  Input should be a valid number [type=float_type, input_value=[-0.041917040944099426, 0...1, 0.018752360716462135], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].2\n  Input should be a valid number [type=float_type, input_value=[-0.005635132547467947, -..., -0.020123090595006943], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].3\n  Input should be a valid number [type=float_type, input_value=[-0.02759934961795807, -0...7, 0.008085954003036022], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].4\n  Input should be a valid number [type=float_type, input_value=[-0.008647669106721878, -...7, -0.01781305857002735], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].5\n  Input should be a valid number [type=float_type, input_value=[-0.015886995941400528, -...6, -0.03170854598283768], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].6\n  Input should be a valid number [type=float_type, input_value=[0.0009654256864450872, -..., -0.004048853646963835], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].7\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].8\n  Input should be a valid number [type=float_type, input_value=[-0.03746585175395012, -0...7, -0.00515681691467762], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].9\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].10\n  Input should be a valid number [type=float_type, input_value=[-0.003286773571744561, -..., -0.039368242025375366], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].11\n  Input should be a valid number [type=float_type, input_value=[-0.009068907238543034, -..., 0.0012158387107774615], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].12\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].13\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].14\n  Input should be a valid number [type=float_type, input_value=[-0.02879006415605545, -0..., -0.007492232136428356], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].15\n  Input should be a valid number [type=float_type, input_value=[-0.011524682864546776, -... -0.0064133754931390285], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].16\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].17\n  Input should be a valid number [type=float_type, input_value=[0.006939048878848553, -0...1, -0.01403720024973154], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].18\n  Input should be a valid number [type=float_type, input_value=[0.0009654256864450872, -..., -0.004048853646963835], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].19\n  Input should be a valid number [type=float_type, input_value=[0.0075918640941381454, 0... -0.0064438628032803535], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].20\n  Input should be a valid number [type=float_type, input_value=[0.011183843947947025, -0..., 0.0002425435377517715], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].21\n  Input should be a valid number [type=float_type, input_value=[-0.009068907238543034, -..., 0.0012158387107774615], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].22\n  Input should be a valid number [type=float_type, input_value=[-0.009068907238543034, -..., 0.0012158387107774615], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].23\n  Input should be a valid number [type=float_type, input_value=[-0.015886995941400528, -...6, -0.03170854598283768], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].24\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].25\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].26\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].27\n  Input should be a valid number [type=float_type, input_value=[0.011183843947947025, -0..., 0.0002425435377517715], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].28\n  Input should be a valid number [type=float_type, input_value=[-0.005635132547467947, -..., -0.020123090595006943], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].29\n  Input should be a valid number [type=float_type, input_value=[-0.02759934961795807, -0...7, 0.008085954003036022], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].30\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].31\n  Input should be a valid number [type=float_type, input_value=[0.0009654256864450872, -..., -0.004048853646963835], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].32\n  Input should be a valid number [type=float_type, input_value=[-0.005635132547467947, -..., -0.020123090595006943], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].33\n  Input should be a valid number [type=float_type, input_value=[-0.028791850432753563, -..., -0.007501907180994749], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].34\n  Input should be a valid number [type=float_type, input_value=[-0.028791850432753563, -..., -0.007501907180994749], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].35\n  Input should be a valid number [type=float_type, input_value=[0.0069252001121640205, -...1, -0.01401674933731556], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].36\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].37\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].38\n  Input should be a valid number [type=float_type, input_value=[0.011183843947947025, -0..., 0.0002425435377517715], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].39\n  Input should be a valid number [type=float_type, input_value=[-0.008647669106721878, -...7, -0.01781305857002735], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].40\n  Input should be a valid number [type=float_type, input_value=[0.020901447162032127, -0..., -0.006658794358372688], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].41\n  Input should be a valid number [type=float_type, input_value=[-0.02759934961795807, -0...7, 0.008085954003036022], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].42\n  Input should be a valid number [type=float_type, input_value=[0.007561385165899992, 0...., -0.006432258524000645], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].43\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].44\n  Input should be a valid number [type=float_type, input_value=[-0.015886995941400528, -...6, -0.03170854598283768], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].45\n  Input should be a valid number [type=float_type, input_value=[-0.005635132547467947, -..., -0.020123090595006943], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].46\n  Input should be a valid number [type=float_type, input_value=[-0.01000166591256857, -0...9, 0.016262251883745193], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].47\n  Input should be a valid number [type=float_type, input_value=[0.017711807042360306, -0..., -0.012479814700782299], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].48\n  Input should be a valid number [type=float_type, input_value=[-0.028791850432753563, -..., -0.007501907180994749], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type\nvector.dict[str,union[SparseVector,list[float]]].content.list[float].49\n  Input should be a valid number [type=float_type, input_value=[0.001023229444399476, -0..., -0.004104331601411104], input_type=list]\n    For further information visit https://errors.pydantic.dev/2.6/v/float_type"
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
+      "text-embedding-3-large\n"
      ]
     }
    ],
    "source": [
     "for item in node_descriptions: \n",
-    "    print(item['node_id'])\n",
-    "    vv = await get_embeddings(item['description'])\n",
-    "    await upload_embedding(id = item['node_id'], metadata = {\"meta\":item['description']}, some_embeddings = vv, collection_name= item['layer_decomposition_uuid'])"
+    "    vv = await get_embeddings([item['description']])\n",
+    "    await upload_embedding(id = item['node_id'], metadata = {\"meta\":item['description']}, some_embeddings = vv[0], collection_name= item['layer_decomposition_uuid'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 220,
+   "execution_count": 47,
    "id": "9c33fe6a-30fc-4ae9-85c3-c3c0563ab7c6",
    "metadata": {},
    "outputs": [],
@@ -2066,15 +1761,11 @@
    "id": "302dc698-2c14-4408-81d7-76282524dba3",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# for item in node_descriptions[:5]: \n",
-    "#     print(item['node_id'])\n",
-    "#     upload_embedding(id = item['node_id'], metadata = {\"meta\":item['description']}, some_embeddings = get_embedding(item['description']), collection_name= item['layer_decomposition_uuid'])"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 240,
+   "execution_count": 96,
    "id": "e48f1104-829d-4150-82f6-e42cc53c8e8c",
    "metadata": {},
    "outputs": [],
@@ -2097,17 +1788,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 348,
+   "execution_count": null,
    "id": "a507c77e-9190-4a71-8321-ccc081121534",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# grouped_data"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 282,
+   "execution_count": 97,
    "id": "95cfd736-f2c1-40d3-920c-ebc14c230f21",
    "metadata": {},
    "outputs": [],
@@ -2126,49 +1815,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 283,
-   "id": "32e3f64e-bdcf-4f28-a17b-774930c1f970",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# for cl, e in relationship_dict:\n",
-    "#     print(cl)\n",
-    "#     print(e)\n",
-    "#     g = qdrant_search(cl, e)\n",
-    "#     print(g)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 284,
-   "id": "bf0e8bb8-9412-4f98-bb83-83abeec0b619",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[ScoredPoint(id='d443269f-44ff-4c10-ab4a-fab9ead0f904', version=0, score=0.4133083905881839, payload={'meta': 'For Britons, keeping pets is an entire way of life.'}, vector=None, shard_key=None),\n",
-       " ScoredPoint(id='6a34c9bd-0dee-4db0-8258-86d2dd87303d', version=0, score=0.17809770074247908, payload={'meta': 'Dogs are encouraged and welcomed in public spaces such as pubs, shops, and public transport.'}, vector=None, shard_key=None),\n",
-       " ScoredPoint(id='53b9fc97-7c9e-46f1-ab2c-741405fa12ac', version=0, score=0.1524232010928769, payload={'meta': \"Ownership of certain dog breeds is seen as a status symbol and a reflection of owner's identity.\"}, vector=None, shard_key=None)]"
-      ]
-     },
-     "execution_count": 284,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# qdrant_search ('67200cb4-16fc-40f9-b231-c9e720aeb14a',get_embedding_b(\"Britons\"))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 307,
+   "execution_count": 109,
    "id": "983c44ef-6486-4abe-ba2b-d953cfea33ca",
    "metadata": {},
    "outputs": [],
    "source": [
-    "async def qdrant_batch_search(collection_name: str, embeddings: List[List[float]], limits: List[int], with_vectors: List[bool] = None):\n",
+    "async def qdrant_batch_search(collection_name: str, embeddings: List[List[float]], with_vectors: List[bool] = None):\n",
     "    \"\"\"\n",
     "    Perform batch search in a Qdrant collection with dynamic search requests.\n",
     "\n",
@@ -2201,11 +1853,11 @@
     "            # vector= embedding,\n",
     "            limit=3,\n",
     "            with_vector=False\n",
-    "        ) for embedding in embeddings\n",
+    "        ) for embedding in [embeddings]\n",
     "    ]\n",
     "\n",
     "    # Perform batch search with the dynamically generated requests\n",
-    "    results = qdrant.search_batch(\n",
+    "    results = await  qdrant.search_batch(\n",
     "        collection_name=collection_name,\n",
     "        requests=requests\n",
     "    )\n",
@@ -2217,7 +1869,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 99,
    "id": "5210715c-66ae-430a-a5d5-469fa2ca860c",
    "metadata": {},
    "outputs": [],
@@ -2235,7 +1887,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": null,
    "id": "d6253483-4bd3-426d-88fc-7ac29ed1d5dc",
    "metadata": {},
    "outputs": [],
@@ -2245,7 +1897,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": null,
    "id": "4a7173ab-3e1b-496d-a56e-c7d05b84f0fc",
    "metadata": {},
    "outputs": [],
@@ -2261,7 +1913,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": null,
    "id": "5d2ebcac-8dae-4495-bd6c-415edca60b24",
    "metadata": {},
    "outputs": [],
@@ -2271,7 +1923,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 245,
+   "execution_count": 100,
    "id": "91fcac9b-04ec-4238-800d-f291c8e7c13b",
    "metadata": {},
    "outputs": [],
@@ -2282,57 +1934,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 382,
+   "execution_count": 52,
    "id": "339881a7-664b-4ad4-8579-5996fd1b0676",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d',\n",
-       " '67200cb4-16fc-40f9-b231-c9e720aeb14a',\n",
-       " '6fb85c94-f488-4f31-8e7c-a5905580a78c',\n",
-       " '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f',\n",
-       " '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       " '84fa9b73-12c0-4486-a0eb-3a03a81ca135',\n",
-       " '92562711-f2a9-4ce6-9c7d-d5226080f982',\n",
-       " 'ccf6645e-9fad-441b-821d-b1d47b93ebca',\n",
-       " 'd0c2bd1c-7cec-4e5a-af13-dbb655623dda'}"
-      ]
-     },
-     "execution_count": 382,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# unique_layer_uuids"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 437,
+   "execution_count": null,
    "id": "8e517772-d4eb-4e7a-9393-1ea695020e65",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# count = 0  # Counter to keep track of how many values we've printed\n",
-    "# for uuid, items in grouped_data.items():\n",
-    "#     print(f\"Group ID: {uuid}, Items: {items}\")\n",
-    "#     count += 1\n",
-    "#     if count == 3:\n",
-    "#         break"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 436,
+   "execution_count": 101,
    "id": "c585ca09-139d-4d00-aed0-68ecaa991564",
    "metadata": {},
    "outputs": [],
    "source": [
     "nest_asyncio.apply()\n",
-    "async def process_items(grouped_data, unique_layer_uuids):\n",
+    "async def process_items(grouped_data, unique_layer_uuids, llm_client):\n",
     "    results_to_check = []  # This will hold results excluding self comparisons\n",
     "    tasks = []  # List to hold all tasks\n",
     "    task_to_info = {}  # Dictionary to map tasks to their corresponding group id and item info\n",
@@ -2346,7 +1972,7 @@
     "        for item in items:\n",
     "            # For each target UUID, create an async task for the item's embedding retrieval\n",
     "            for target_id in target_uuids:\n",
-    "                task = asyncio.create_task(async_get_embedding_with_backoff(item['description'], \"text-embedding-3-large\"))\n",
+    "                task = asyncio.create_task(llm_client.async_get_embedding_with_backoff(item['description'], \"text-embedding-3-large\"))\n",
     "                tasks.append(task)\n",
     "                # Map the task to the target id, item's node_id, and description for later retrieval\n",
     "                task_to_info[task] = (target_id, item['node_id'], group_id, item['description'])\n",
@@ -2397,7 +2023,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 403,
+   "execution_count": 74,
    "id": "933beda7-27e6-45e2-9ce7-3084b6243f54",
    "metadata": {},
    "outputs": [
@@ -2405,107 +2031,545 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "67200cb4-16fc-40f9-b231-c9e720aeb14a\n",
-      "['83b60dcf-0a04-474f-962b-121cc518e610', '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f', '84fa9b73-12c0-4486-a0eb-3a03a81ca135', '3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d', '92562711-f2a9-4ce6-9c7d-d5226080f982', 'd0c2bd1c-7cec-4e5a-af13-dbb655623dda', 'ccf6645e-9fad-441b-821d-b1d47b93ebca', '6fb85c94-f488-4f31-8e7c-a5905580a78c']\n",
-      "ccf6645e-9fad-441b-821d-b1d47b93ebca\n",
-      "['83b60dcf-0a04-474f-962b-121cc518e610', '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f', '84fa9b73-12c0-4486-a0eb-3a03a81ca135', '3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d', '92562711-f2a9-4ce6-9c7d-d5226080f982', 'd0c2bd1c-7cec-4e5a-af13-dbb655623dda', '67200cb4-16fc-40f9-b231-c9e720aeb14a', '6fb85c94-f488-4f31-8e7c-a5905580a78c']\n",
-      "d0c2bd1c-7cec-4e5a-af13-dbb655623dda\n",
-      "['83b60dcf-0a04-474f-962b-121cc518e610', '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f', '84fa9b73-12c0-4486-a0eb-3a03a81ca135', '3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d', '92562711-f2a9-4ce6-9c7d-d5226080f982', 'ccf6645e-9fad-441b-821d-b1d47b93ebca', '67200cb4-16fc-40f9-b231-c9e720aeb14a', '6fb85c94-f488-4f31-8e7c-a5905580a78c']\n",
-      "83b60dcf-0a04-474f-962b-121cc518e610\n",
-      "['796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f', '84fa9b73-12c0-4486-a0eb-3a03a81ca135', '3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d', '92562711-f2a9-4ce6-9c7d-d5226080f982', 'd0c2bd1c-7cec-4e5a-af13-dbb655623dda', 'ccf6645e-9fad-441b-821d-b1d47b93ebca', '67200cb4-16fc-40f9-b231-c9e720aeb14a', '6fb85c94-f488-4f31-8e7c-a5905580a78c']\n",
-      "6fb85c94-f488-4f31-8e7c-a5905580a78c\n",
-      "['83b60dcf-0a04-474f-962b-121cc518e610', '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f', '84fa9b73-12c0-4486-a0eb-3a03a81ca135', '3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d', '92562711-f2a9-4ce6-9c7d-d5226080f982', 'd0c2bd1c-7cec-4e5a-af13-dbb655623dda', 'ccf6645e-9fad-441b-821d-b1d47b93ebca', '67200cb4-16fc-40f9-b231-c9e720aeb14a']\n",
-      "796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f\n",
-      "['83b60dcf-0a04-474f-962b-121cc518e610', '84fa9b73-12c0-4486-a0eb-3a03a81ca135', '3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d', '92562711-f2a9-4ce6-9c7d-d5226080f982', 'd0c2bd1c-7cec-4e5a-af13-dbb655623dda', 'ccf6645e-9fad-441b-821d-b1d47b93ebca', '67200cb4-16fc-40f9-b231-c9e720aeb14a', '6fb85c94-f488-4f31-8e7c-a5905580a78c']\n",
-      "92562711-f2a9-4ce6-9c7d-d5226080f982\n",
-      "['83b60dcf-0a04-474f-962b-121cc518e610', '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f', '84fa9b73-12c0-4486-a0eb-3a03a81ca135', '3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d', 'd0c2bd1c-7cec-4e5a-af13-dbb655623dda', 'ccf6645e-9fad-441b-821d-b1d47b93ebca', '67200cb4-16fc-40f9-b231-c9e720aeb14a', '6fb85c94-f488-4f31-8e7c-a5905580a78c']\n",
-      "84fa9b73-12c0-4486-a0eb-3a03a81ca135\n",
-      "['83b60dcf-0a04-474f-962b-121cc518e610', '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f', '3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d', '92562711-f2a9-4ce6-9c7d-d5226080f982', 'd0c2bd1c-7cec-4e5a-af13-dbb655623dda', 'ccf6645e-9fad-441b-821d-b1d47b93ebca', '67200cb4-16fc-40f9-b231-c9e720aeb14a', '6fb85c94-f488-4f31-8e7c-a5905580a78c']\n",
-      "3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d\n",
-      "['83b60dcf-0a04-474f-962b-121cc518e610', '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f', '84fa9b73-12c0-4486-a0eb-3a03a81ca135', '92562711-f2a9-4ce6-9c7d-d5226080f982', 'd0c2bd1c-7cec-4e5a-af13-dbb655623dda', 'ccf6645e-9fad-441b-821d-b1d47b93ebca', '67200cb4-16fc-40f9-b231-c9e720aeb14a', '6fb85c94-f488-4f31-8e7c-a5905580a78c']\n"
+      "Britons\n",
+      "text-embedding-3-large\n",
+      "Britons\n",
+      "text-embedding-3-large\n",
+      "Britons\n",
+      "text-embedding-3-large\n",
+      "Britons\n",
+      "text-embedding-3-large\n",
+      "Britons\n",
+      "text-embedding-3-large\n",
+      "Britons\n",
+      "text-embedding-3-large\n",
+      "animals\n",
+      "text-embedding-3-large\n",
+      "animals\n",
+      "text-embedding-3-large\n",
+      "animals\n",
+      "text-embedding-3-large\n",
+      "animals\n",
+      "text-embedding-3-large\n",
+      "animals\n",
+      "text-embedding-3-large\n",
+      "animals\n",
+      "text-embedding-3-large\n",
+      "Kate Fox\n",
+      "text-embedding-3-large\n",
+      "Kate Fox\n",
+      "text-embedding-3-large\n",
+      "Kate Fox\n",
+      "text-embedding-3-large\n",
+      "Kate Fox\n",
+      "text-embedding-3-large\n",
+      "Kate Fox\n",
+      "text-embedding-3-large\n",
+      "Kate Fox\n",
+      "text-embedding-3-large\n",
+      "Watching the English\n",
+      "text-embedding-3-large\n",
+      "Watching the English\n",
+      "text-embedding-3-large\n",
+      "Watching the English\n",
+      "text-embedding-3-large\n",
+      "Watching the English\n",
+      "text-embedding-3-large\n",
+      "Watching the English\n",
+      "text-embedding-3-large\n",
+      "Watching the English\n",
+      "text-embedding-3-large\n",
+      "dogs\n",
+      "text-embedding-3-large\n",
+      "dogs\n",
+      "text-embedding-3-large\n",
+      "dogs\n",
+      "text-embedding-3-large\n",
+      "dogs\n",
+      "text-embedding-3-large\n",
+      "dogs\n",
+      "text-embedding-3-large\n",
+      "dogs\n",
+      "text-embedding-3-large\n",
+      "United Kingdom\n",
+      "text-embedding-3-large\n",
+      "United Kingdom\n",
+      "text-embedding-3-large\n",
+      "United Kingdom\n",
+      "text-embedding-3-large\n",
+      "United Kingdom\n",
+      "text-embedding-3-large\n",
+      "United Kingdom\n",
+      "text-embedding-3-large\n",
+      "United Kingdom\n",
+      "text-embedding-3-large\n",
+      "Australia\n",
+      "text-embedding-3-large\n",
+      "Australia\n",
+      "text-embedding-3-large\n",
+      "Australia\n",
+      "text-embedding-3-large\n",
+      "Australia\n",
+      "text-embedding-3-large\n",
+      "Australia\n",
+      "text-embedding-3-large\n",
+      "Australia\n",
+      "text-embedding-3-large\n",
+      "New Zealand\n",
+      "text-embedding-3-large\n",
+      "New Zealand\n",
+      "text-embedding-3-large\n",
+      "New Zealand\n",
+      "text-embedding-3-large\n",
+      "New Zealand\n",
+      "text-embedding-3-large\n",
+      "New Zealand\n",
+      "text-embedding-3-large\n",
+      "New Zealand\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust\n",
+      "text-embedding-3-large\n",
+      "the pandemic\n",
+      "text-embedding-3-large\n",
+      "the pandemic\n",
+      "text-embedding-3-large\n",
+      "the pandemic\n",
+      "text-embedding-3-large\n",
+      "the pandemic\n",
+      "text-embedding-3-large\n",
+      "the pandemic\n",
+      "text-embedding-3-large\n",
+      "the pandemic\n",
+      "text-embedding-3-large\n",
+      "Britons have always had a special relationship with animals, viewing pet-keeping not just as a leisure activity but as an entire way of life. This is particularly true for dogs, which serve as an acceptable outlet for emotions and impulses that are otherwise kept controlled.\n",
+      "text-embedding-3-large\n",
+      "Britons have always had a special relationship with animals, viewing pet-keeping not just as a leisure activity but as an entire way of life. This is particularly true for dogs, which serve as an acceptable outlet for emotions and impulses that are otherwise kept controlled.\n",
+      "text-embedding-3-large\n",
+      "Britons have always had a special relationship with animals, viewing pet-keeping not just as a leisure activity but as an entire way of life. This is particularly true for dogs, which serve as an acceptable outlet for emotions and impulses that are otherwise kept controlled.\n",
+      "text-embedding-3-large\n",
+      "Britons have always had a special relationship with animals, viewing pet-keeping not just as a leisure activity but as an entire way of life. This is particularly true for dogs, which serve as an acceptable outlet for emotions and impulses that are otherwise kept controlled.\n",
+      "text-embedding-3-large\n",
+      "Britons have always had a special relationship with animals, viewing pet-keeping not just as a leisure activity but as an entire way of life. This is particularly true for dogs, which serve as an acceptable outlet for emotions and impulses that are otherwise kept controlled.\n",
+      "text-embedding-3-large\n",
+      "Britons have always had a special relationship with animals, viewing pet-keeping not just as a leisure activity but as an entire way of life. This is particularly true for dogs, which serve as an acceptable outlet for emotions and impulses that are otherwise kept controlled.\n",
+      "text-embedding-3-large\n",
+      "British society is accommodating to dogs, evident from dogs being encouraged on public transport and welcome signs in many establishments.\n",
+      "text-embedding-3-large\n",
+      "British society is accommodating to dogs, evident from dogs being encouraged on public transport and welcome signs in many establishments.\n",
+      "text-embedding-3-large\n",
+      "British society is accommodating to dogs, evident from dogs being encouraged on public transport and welcome signs in many establishments.\n",
+      "text-embedding-3-large\n",
+      "British society is accommodating to dogs, evident from dogs being encouraged on public transport and welcome signs in many establishments.\n",
+      "text-embedding-3-large\n",
+      "British society is accommodating to dogs, evident from dogs being encouraged on public transport and welcome signs in many establishments.\n",
+      "text-embedding-3-large\n",
+      "British society is accommodating to dogs, evident from dogs being encouraged on public transport and welcome signs in many establishments.\n",
+      "text-embedding-3-large\n",
+      "The number of pet dogs in the UK increased from about 9 million to 13 million between 2019 and 2022, indicating a pet ownership boom during the pandemic.\n",
+      "text-embedding-3-large\n",
+      "The number of pet dogs in the UK increased from about 9 million to 13 million between 2019 and 2022, indicating a pet ownership boom during the pandemic.\n",
+      "text-embedding-3-large\n",
+      "The number of pet dogs in the UK increased from about 9 million to 13 million between 2019 and 2022, indicating a pet ownership boom during the pandemic.\n",
+      "text-embedding-3-large\n",
+      "The number of pet dogs in the UK increased from about 9 million to 13 million between 2019 and 2022, indicating a pet ownership boom during the pandemic.\n",
+      "text-embedding-3-large\n",
+      "The number of pet dogs in the UK increased from about 9 million to 13 million between 2019 and 2022, indicating a pet ownership boom during the pandemic.\n",
+      "text-embedding-3-large\n",
+      "The number of pet dogs in the UK increased from about 9 million to 13 million between 2019 and 2022, indicating a pet ownership boom during the pandemic.\n",
+      "text-embedding-3-large\n",
+      "In the nicest possible way, Britons have always been a bit silly about animals\n",
+      "text-embedding-3-large\n",
+      "In the nicest possible way, Britons have always been a bit silly about animals\n",
+      "text-embedding-3-large\n",
+      "In the nicest possible way, Britons have always been a bit silly about animals\n",
+      "text-embedding-3-large\n",
+      "In the nicest possible way, Britons have always been a bit silly about animals\n",
+      "text-embedding-3-large\n",
+      "In the nicest possible way, Britons have always been a bit silly about animals\n",
+      "text-embedding-3-large\n",
+      "In the nicest possible way, Britons have always been a bit silly about animals\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an acceptable outlet for Britons to be affectionate, to be silly, and to chat with strangers\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an acceptable outlet for Britons to be affectionate, to be silly, and to chat with strangers\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an acceptable outlet for Britons to be affectionate, to be silly, and to chat with strangers\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an acceptable outlet for Britons to be affectionate, to be silly, and to chat with strangers\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an acceptable outlet for Britons to be affectionate, to be silly, and to chat with strangers\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an acceptable outlet for Britons to be affectionate, to be silly, and to chat with strangers\n",
+      "text-embedding-3-large\n",
+      "Kate Fox, anthropologist\n",
+      "text-embedding-3-large\n",
+      "Kate Fox, anthropologist\n",
+      "text-embedding-3-large\n",
+      "Kate Fox, anthropologist\n",
+      "text-embedding-3-large\n",
+      "Kate Fox, anthropologist\n",
+      "text-embedding-3-large\n",
+      "Kate Fox, anthropologist\n",
+      "text-embedding-3-large\n",
+      "Kate Fox, anthropologist\n",
+      "text-embedding-3-large\n",
+      "Watching the English, book by Kate Fox written nearly 20 years ago\n",
+      "text-embedding-3-large\n",
+      "Watching the English, book by Kate Fox written nearly 20 years ago\n",
+      "text-embedding-3-large\n",
+      "Watching the English, book by Kate Fox written nearly 20 years ago\n",
+      "text-embedding-3-large\n",
+      "Watching the English, book by Kate Fox written nearly 20 years ago\n",
+      "text-embedding-3-large\n",
+      "Watching the English, book by Kate Fox written nearly 20 years ago\n",
+      "text-embedding-3-large\n",
+      "Watching the English, book by Kate Fox written nearly 20 years ago\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
+      "text-embedding-3-large\n",
+      "A dog is for life, not just for Christmas, slogan by Dogs Trust charity coined in 1978\n",
+      "text-embedding-3-large\n",
+      "A dog is for life, not just for Christmas, slogan by Dogs Trust charity coined in 1978\n",
+      "text-embedding-3-large\n",
+      "A dog is for life, not just for Christmas, slogan by Dogs Trust charity coined in 1978\n",
+      "text-embedding-3-large\n",
+      "A dog is for life, not just for Christmas, slogan by Dogs Trust charity coined in 1978\n",
+      "text-embedding-3-large\n",
+      "A dog is for life, not just for Christmas, slogan by Dogs Trust charity coined in 1978\n",
+      "text-embedding-3-large\n",
+      "A dog is for life, not just for Christmas, slogan by Dogs Trust charity coined in 1978\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals, keeping pets is an essential way of life\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals, keeping pets is an essential way of life\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals, keeping pets is an essential way of life\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals, keeping pets is an essential way of life\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals, keeping pets is an essential way of life\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals, keeping pets is an essential way of life\n",
+      "text-embedding-3-large\n",
+      "Pets, especially dogs, are an outlet for emotions and impulses like affection and desire to chat with strangers\n",
+      "text-embedding-3-large\n",
+      "Pets, especially dogs, are an outlet for emotions and impulses like affection and desire to chat with strangers\n",
+      "text-embedding-3-large\n",
+      "Pets, especially dogs, are an outlet for emotions and impulses like affection and desire to chat with strangers\n",
+      "text-embedding-3-large\n",
+      "Pets, especially dogs, are an outlet for emotions and impulses like affection and desire to chat with strangers\n",
+      "text-embedding-3-large\n",
+      "Pets, especially dogs, are an outlet for emotions and impulses like affection and desire to chat with strangers\n",
+      "text-embedding-3-large\n",
+      "Pets, especially dogs, are an outlet for emotions and impulses like affection and desire to chat with strangers\n",
+      "text-embedding-3-large\n",
+      "In the UK, unlike Australia or New Zealand, dogs are openly encouraged on public transport\n",
+      "text-embedding-3-large\n",
+      "In the UK, unlike Australia or New Zealand, dogs are openly encouraged on public transport\n",
+      "text-embedding-3-large\n",
+      "In the UK, unlike Australia or New Zealand, dogs are openly encouraged on public transport\n",
+      "text-embedding-3-large\n",
+      "In the UK, unlike Australia or New Zealand, dogs are openly encouraged on public transport\n",
+      "text-embedding-3-large\n",
+      "In the UK, unlike Australia or New Zealand, dogs are openly encouraged on public transport\n",
+      "text-embedding-3-large\n",
+      "In the UK, unlike Australia or New Zealand, dogs are openly encouraged on public transport\n",
+      "text-embedding-3-large\n",
+      "Many pubs and shops in the UK display signs like Dogs welcome, people tolerated and have treat jars for dogs\n",
+      "text-embedding-3-large\n",
+      "Many pubs and shops in the UK display signs like Dogs welcome, people tolerated and have treat jars for dogs\n",
+      "text-embedding-3-large\n",
+      "Many pubs and shops in the UK display signs like Dogs welcome, people tolerated and have treat jars for dogs\n",
+      "text-embedding-3-large\n",
+      "Many pubs and shops in the UK display signs like Dogs welcome, people tolerated and have treat jars for dogs\n",
+      "text-embedding-3-large\n",
+      "Many pubs and shops in the UK display signs like Dogs welcome, people tolerated and have treat jars for dogs\n",
+      "text-embedding-3-large\n",
+      "Many pubs and shops in the UK display signs like Dogs welcome, people tolerated and have treat jars for dogs\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about 9 million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about 9 million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about 9 million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about 9 million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about 9 million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about 9 million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust charity coined the slogan A dog is for life, not just for Christmas in 1978\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust charity coined the slogan A dog is for life, not just for Christmas in 1978\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust charity coined the slogan A dog is for life, not just for Christmas in 1978\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust charity coined the slogan A dog is for life, not just for Christmas in 1978\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust charity coined the slogan A dog is for life, not just for Christmas in 1978\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust charity coined the slogan A dog is for life, not just for Christmas in 1978\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals, considering keeping pets as an entire way of life.\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals, considering keeping pets as an entire way of life.\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals, considering keeping pets as an entire way of life.\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals, considering keeping pets as an entire way of life.\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals, considering keeping pets as an entire way of life.\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals, considering keeping pets as an entire way of life.\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an acceptable outlet for Britons' emotions and impulses they otherwise keep strictly controlled.\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an acceptable outlet for Britons' emotions and impulses they otherwise keep strictly controlled.\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an acceptable outlet for Britons' emotions and impulses they otherwise keep strictly controlled.\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an acceptable outlet for Britons' emotions and impulses they otherwise keep strictly controlled.\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an acceptable outlet for Britons' emotions and impulses they otherwise keep strictly controlled.\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an acceptable outlet for Britons' emotions and impulses they otherwise keep strictly controlled.\n",
+      "text-embedding-3-large\n",
+      "In the UK, unlike Australia or New Zealand, dogs are not just permitted on public transport but often openly encouraged.\n",
+      "text-embedding-3-large\n",
+      "In the UK, unlike Australia or New Zealand, dogs are not just permitted on public transport but often openly encouraged.\n",
+      "text-embedding-3-large\n",
+      "In the UK, unlike Australia or New Zealand, dogs are not just permitted on public transport but often openly encouraged.\n",
+      "text-embedding-3-large\n",
+      "In the UK, unlike Australia or New Zealand, dogs are not just permitted on public transport but often openly encouraged.\n",
+      "text-embedding-3-large\n",
+      "In the UK, unlike Australia or New Zealand, dogs are not just permitted on public transport but often openly encouraged.\n",
+      "text-embedding-3-large\n",
+      "In the UK, unlike Australia or New Zealand, dogs are not just permitted on public transport but often openly encouraged.\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic.\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic.\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic.\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic.\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic.\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic.\n",
+      "text-embedding-3-large\n",
+      "The Dogs Trust charity coined its famous slogan \"A dog is for life, not just for Christmas\" back in 1978.\n",
+      "text-embedding-3-large\n",
+      "The Dogs Trust charity coined its famous slogan \"A dog is for life, not just for Christmas\" back in 1978.\n",
+      "text-embedding-3-large\n",
+      "The Dogs Trust charity coined its famous slogan \"A dog is for life, not just for Christmas\" back in 1978.\n",
+      "text-embedding-3-large\n",
+      "The Dogs Trust charity coined its famous slogan \"A dog is for life, not just for Christmas\" back in 1978.\n",
+      "text-embedding-3-large\n",
+      "The Dogs Trust charity coined its famous slogan \"A dog is for life, not just for Christmas\" back in 1978.\n",
+      "text-embedding-3-large\n",
+      "The Dogs Trust charity coined its famous slogan \"A dog is for life, not just for Christmas\" back in 1978.\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals\n",
+      "text-embedding-3-large\n",
+      "Britons have always been a bit silly about animals\n",
+      "text-embedding-3-large\n",
+      "Kate Fox: Keeping pets is not a leisure activity but an entire way of life for the English\n",
+      "text-embedding-3-large\n",
+      "Kate Fox: Keeping pets is not a leisure activity but an entire way of life for the English\n",
+      "text-embedding-3-large\n",
+      "Kate Fox: Keeping pets is not a leisure activity but an entire way of life for the English\n",
+      "text-embedding-3-large\n",
+      "Kate Fox: Keeping pets is not a leisure activity but an entire way of life for the English\n",
+      "text-embedding-3-large\n",
+      "Kate Fox: Keeping pets is not a leisure activity but an entire way of life for the English\n",
+      "text-embedding-3-large\n",
+      "Kate Fox: Keeping pets is not a leisure activity but an entire way of life for the English\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an outlet for emotions and impulses\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an outlet for emotions and impulses\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an outlet for emotions and impulses\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an outlet for emotions and impulses\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an outlet for emotions and impulses\n",
+      "text-embedding-3-large\n",
+      "Dogs serve as an outlet for emotions and impulses\n",
+      "text-embedding-3-large\n",
+      "British society accommodates dogs in public transport and establishments\n",
+      "text-embedding-3-large\n",
+      "British society accommodates dogs in public transport and establishments\n",
+      "text-embedding-3-large\n",
+      "British society accommodates dogs in public transport and establishments\n",
+      "text-embedding-3-large\n",
+      "British society accommodates dogs in public transport and establishments\n",
+      "text-embedding-3-large\n",
+      "British society accommodates dogs in public transport and establishments\n",
+      "text-embedding-3-large\n",
+      "British society accommodates dogs in public transport and establishments\n",
+      "text-embedding-3-large\n",
+      "Britons' passion for animals has been consistent amid dwindling common ground\n",
+      "text-embedding-3-large\n",
+      "Britons' passion for animals has been consistent amid dwindling common ground\n",
+      "text-embedding-3-large\n",
+      "Britons' passion for animals has been consistent amid dwindling common ground\n",
+      "text-embedding-3-large\n",
+      "Britons' passion for animals has been consistent amid dwindling common ground\n",
+      "text-embedding-3-large\n",
+      "Britons' passion for animals has been consistent amid dwindling common ground\n",
+      "text-embedding-3-large\n",
+      "Britons' passion for animals has been consistent amid dwindling common ground\n",
+      "text-embedding-3-large\n",
+      "The pandemic unleashed a trend of acquiring dogs, increasing UK dog population from about 9 million to 13 million between 2019 and 2022\n",
+      "text-embedding-3-large\n",
+      "The pandemic unleashed a trend of acquiring dogs, increasing UK dog population from about 9 million to 13 million between 2019 and 2022\n",
+      "text-embedding-3-large\n",
+      "The pandemic unleashed a trend of acquiring dogs, increasing UK dog population from about 9 million to 13 million between 2019 and 2022\n",
+      "text-embedding-3-large\n",
+      "The pandemic unleashed a trend of acquiring dogs, increasing UK dog population from about 9 million to 13 million between 2019 and 2022\n",
+      "text-embedding-3-large\n",
+      "The pandemic unleashed a trend of acquiring dogs, increasing UK dog population from about 9 million to 13 million between 2019 and 2022\n",
+      "text-embedding-3-large\n",
+      "The pandemic unleashed a trend of acquiring dogs, increasing UK dog population from about 9 million to 13 million between 2019 and 2022\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust slogan coined in 1978: A dog is for life, not just for Christmas\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust slogan coined in 1978: A dog is for life, not just for Christmas\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust slogan coined in 1978: A dog is for life, not just for Christmas\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust slogan coined in 1978: A dog is for life, not just for Christmas\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust slogan coined in 1978: A dog is for life, not just for Christmas\n",
+      "text-embedding-3-large\n",
+      "Dogs Trust slogan coined in 1978: A dog is for life, not just for Christmas\n",
+      "text-embedding-3-large\n",
+      "Keeping pets, for the English, is not so much a leisure activity as it is an entire way of life\n",
+      "text-embedding-3-large\n",
+      "Keeping pets, for the English, is not so much a leisure activity as it is an entire way of life\n",
+      "text-embedding-3-large\n",
+      "Keeping pets, for the English, is not so much a leisure activity as it is an entire way of life\n",
+      "text-embedding-3-large\n",
+      "Keeping pets, for the English, is not so much a leisure activity as it is an entire way of life\n",
+      "text-embedding-3-large\n",
+      "Keeping pets, for the English, is not so much a leisure activity as it is an entire way of life\n",
+      "text-embedding-3-large\n",
+      "Keeping pets, for the English, is not so much a leisure activity as it is an entire way of life\n",
+      "text-embedding-3-large\n",
+      "Kate Fox, anthropologist who wrote Watching the English\n",
+      "text-embedding-3-large\n",
+      "Kate Fox, anthropologist who wrote Watching the English\n",
+      "text-embedding-3-large\n",
+      "Kate Fox, anthropologist who wrote Watching the English\n",
+      "text-embedding-3-large\n",
+      "Kate Fox, anthropologist who wrote Watching the English\n",
+      "text-embedding-3-large\n",
+      "Kate Fox, anthropologist who wrote Watching the English\n",
+      "text-embedding-3-large\n",
+      "Kate Fox, anthropologist who wrote Watching the English\n",
+      "text-embedding-3-large\n",
+      "Dogs as an acceptable outlet for emotions and impulses kept strictly controlled\n",
+      "text-embedding-3-large\n",
+      "Dogs as an acceptable outlet for emotions and impulses kept strictly controlled\n",
+      "text-embedding-3-large\n",
+      "Dogs as an acceptable outlet for emotions and impulses kept strictly controlled\n",
+      "text-embedding-3-large\n",
+      "Dogs as an acceptable outlet for emotions and impulses kept strictly controlled\n",
+      "text-embedding-3-large\n",
+      "Dogs as an acceptable outlet for emotions and impulses kept strictly controlled\n",
+      "text-embedding-3-large\n",
+      "Dogs as an acceptable outlet for emotions and impulses kept strictly controlled\n",
+      "text-embedding-3-large\n",
+      "Dogs are not just permitted on public transport in the UK but often openly encouraged\n",
+      "text-embedding-3-large\n",
+      "Dogs are not just permitted on public transport in the UK but often openly encouraged\n",
+      "text-embedding-3-large\n",
+      "Dogs are not just permitted on public transport in the UK but often openly encouraged\n",
+      "text-embedding-3-large\n",
+      "Dogs are not just permitted on public transport in the UK but often openly encouraged\n",
+      "text-embedding-3-large\n",
+      "Dogs are not just permitted on public transport in the UK but often openly encouraged\n",
+      "text-embedding-3-large\n",
+      "Dogs are not just permitted on public transport in the UK but often openly encouraged\n",
+      "text-embedding-3-large\n",
+      "Many pubs and shops in the UK display signs reading Dogs welcome, people tolerated and have treat jars on their counters\n",
+      "text-embedding-3-large\n",
+      "Many pubs and shops in the UK display signs reading Dogs welcome, people tolerated and have treat jars on their counters\n",
+      "text-embedding-3-large\n",
+      "Many pubs and shops in the UK display signs reading Dogs welcome, people tolerated and have treat jars on their counters\n",
+      "text-embedding-3-large\n",
+      "Many pubs and shops in the UK display signs reading Dogs welcome, people tolerated and have treat jars on their counters\n",
+      "text-embedding-3-large\n",
+      "Many pubs and shops in the UK display signs reading Dogs welcome, people tolerated and have treat jars on their counters\n",
+      "text-embedding-3-large\n",
+      "Many pubs and shops in the UK display signs reading Dogs welcome, people tolerated and have treat jars on their counters\n",
+      "text-embedding-3-large\n",
+      "A dog is for life, not just for Christmas\n",
+      "text-embedding-3-large\n",
+      "A dog is for life, not just for Christmas\n",
+      "text-embedding-3-large\n",
+      "A dog is for life, not just for Christmas\n",
+      "text-embedding-3-large\n",
+      "A dog is for life, not just for Christmas\n",
+      "text-embedding-3-large\n",
+      "A dog is for life, not just for Christmas\n",
+      "text-embedding-3-large\n",
+      "A dog is for life, not just for Christmas\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
+      "text-embedding-3-large\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million\n",
+      "text-embedding-3-large\n"
      ]
     }
    ],
    "source": [
-    "relationship_dict = await process_items(grouped_data, unique_layer_uuids)"
+    "client = get_llm_client()\n",
+    "relationship_dict = await process_items(grouped_data, unique_layer_uuids,client)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "35e868ad-d8cd-4341-8909-fdf791e4ce12",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 258,
-   "id": "a23a7517-64f2-4d9f-8cc0-f6dfdd0fe3c1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# This code compares and runs a semantic search across the nodes and calculates if there are relevant nodes in different layers that interconnect. this is not efficient and needs to be completely redone, batching and ideally done on vectordb side\n",
-    "\n",
-    "# relationship_dict={}\n",
-    "# results_to_check = []\n",
-    "# for id in unique_layer_uuids:\n",
-    "#     if id not in relationship_dict:\n",
-    "#         relationship_dict[id] = []\n",
-    "    \n",
-    "#     for uuid, items in grouped_data.items():\n",
-    "#         if uuid != id:\n",
-    "#             # print(\"this id is orig %s\", id)\n",
-    "#             # print(\"this uuid is relevant for search %s\", uuid)\n",
-    "#             for item in items:\n",
-    "\n",
-    "#                 results_to_check.append([id, [get_embedding(item['description'])]])\n",
-    "\n",
-    "\n",
-    "\n",
-    "                \n",
-    "                \n",
-    "    # results = qdrant_search(id, item['description'])\n",
-    "\n",
-    "    # for result in results:\n",
-    "    #     if result.score > 0.9:  # Only consider hits with a score greater than 0.9\n",
-    "    #         # Append result information to the relationship_dict under the current id\n",
-    "    #         relationship_dict[id].append({\n",
-    "    #             'collection_name_uuid': uuid,  # The uuid used for the search\n",
-    "    #             'searched_node_id': item['node_id'],  # The node_id of the hit\n",
-    "    #             'score': result.score,\n",
-    "    #             'score_metadata': result.payload,\n",
-    "    #             'score_id': result.id,\n",
-    "    #         })\n",
-    "                \n",
-    "                \n",
-    "                # print(item['description'])\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 435,
-   "id": "69967cdd-3957-4c39-b5d7-8e58d0f8c13c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# unique_layer_uuids"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 630,
-   "id": "594825c9-a6c4-4760-bd0e-4d7d3a25d090",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# ff= get_embedding('dog')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 631,
+   "execution_count": 55,
    "id": "7ee6a445-e783-4d43-9d02-e97bc83502f7",
    "metadata": {},
    "outputs": [],
@@ -2525,7 +2589,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 629,
+   "execution_count": 56,
    "id": "a9cb5f13-d284-4cc5-ac74-78d7f4316148",
    "metadata": {},
    "outputs": [],
@@ -2537,57 +2601,30 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "836a7b57-9b65-43e2-b57a-8f2914061b40",
+   "id": "83fa7c56-5610-4a4d-a643-2a57a6ecff07",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "code",
-   "execution_count": 424,
+   "execution_count": 105,
+   "id": "836a7b57-9b65-43e2-b57a-8f2914061b40",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# relationship_dict[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
    "id": "baff4d94-5e9a-4ba6-a42a-a1b5939fb1fe",
    "metadata": {},
    "outputs": [],
    "source": [
     "\n",
-    "\n",
-    "\n",
-    "# def qdrant_batch_search(results_to_check):\n",
-    "#     results = []\n",
-    "\n",
-    "#     for result in results_to_check:\n",
-    "#         # Assuming result[1] is the list of embeddings and you want a limit of 3 for each\n",
-    "#         embedding_list = result[1]  # This should be a list of embeddings\n",
-    "#         limits = [3] * len(embedding_list)  # Create a list with a limit of 3 for each embedding\n",
-    "#         try:\n",
-    "#             search_results = qdrant_batch_search(result[0], embedding_list, limits)\n",
-    "#             results.append(search_results)\n",
-    "#         except:\n",
-    "#             pass\n",
-    "#     return results\n",
-    "\n",
-    "# async def adapted_qdrant_batch_search(relationship_dict):\n",
-    "#     search_results_list = []\n",
-    "\n",
-    "#     for id, embeddings_list in relationship_dict.items():\n",
-    "#         print(id)\n",
-    "#         # Flatten the list of lists of embeddings for this id\n",
-    "#         flattened_embeddings = [embedding for sublist in embeddings_list for embedding in sublist]\n",
-    "#         print(len(flattened_embeddings))\n",
-    "\n",
-    "#         # Set a limit of 3 results for each embedding in the flattened list\n",
-    "#         limits = [3] * len(embeddings_list)\n",
-    "\n",
-    "#         try:\n",
-    "#             # Perform the batch search for this id with its flattened embeddings and corresponding limits\n",
-    "#             id_search_results = await qdrant_batch_search(id, [embeddings_list[0], limits)\n",
-    "#             search_results_list.append((id, id_search_results))\n",
-    "#         except Exception as e:\n",
-    "#             print(f\"Error during batch search for ID {id}: {e}\")\n",
-    "#             continue\n",
-    "\n",
-    "#     return search_results_list\n",
-    "async def adapted_qdrant_batch_search(results_to_check):\n",
+    "async def adapted_qdrant_batch_search(results_to_check,vector_client):\n",
     "    search_results_list = []\n",
     "\n",
     "    for result in results_to_check:\n",
@@ -2601,9 +2638,10 @@
     "        limits = [3] * len(embedding)  # Set a limit of 3 results for this embedding\n",
     "\n",
     "        try:\n",
-    "            # Perform the batch search for this id with its embedding\n",
-    "            # Assuming qdrant_batch_search function accepts a single embedding and a list of limits\n",
-    "            id_search_results = await qdrant_batch_search(id, [embedding], limits)\n",
+    "            #Perform the batch search for this id with its embedding\n",
+    "            #Assuming qdrant_batch_search function accepts a single embedding and a list of limits\n",
+    "            #qdrant_batch_search\n",
+    "            id_search_results = await qdrant_batch_search(collection_name = id, embeddings= embedding, with_vectors=limits)\n",
     "            search_results_list.append((id, id_search_results, node_id, target))\n",
     "        except Exception as e:\n",
     "            print(f\"Error during batch search for ID {id}: {e}\")\n",
@@ -2643,123 +2681,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 348,
-   "id": "838bdc96-7712-4b9d-816b-588500d034be",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# results = []\n",
-    "\n",
-    "# for result in relationship_dict:\n",
-    "#     # Assuming result[1] is the list of embeddings and you want a limit of 3 for each\n",
-    "#     embedding_list = result[1]  # This should be a list of embeddings\n",
-    "#     limits = [3] * len(embedding_list)  # Create a list with a limit of 3 for each embedding\n",
-    "#     try:\n",
-    "#         search_results = qdrant_batch_search(result[0], embedding_list, limits)\n",
-    "#         results.append(search_results)\n",
-    "#     except:\n",
-    "#         pass\n",
-    "#     return results"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 313,
-   "id": "44a0065b-e3a8-431c-af07-c710aa6d1fa4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# relationship_dict"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 279,
-   "id": "849cc731-cf2d-44dc-b363-9e195dab66c6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# await adapted_qdrant_batch_search(relationship_dict)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 414,
-   "id": "9d17db26-2168-4f55-bd14-cf41c18bbda7",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Nodes containing ID '3a63bd68-0238-4865-9ea1-d7f88f58d6e8' in any attribute: ['Izzy, a terrier-spaniel cross owned by Lee Parkin. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - 3a63bd68-0238-4865-9ea1-d7f88f58d6e8']\n",
-      "Attributes of node Izzy, a terrier-spaniel cross owned by Lee Parkin. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - 3a63bd68-0238-4865-9ea1-d7f88f58d6e8: {'created_at': '2024-03-04 20:28:37', 'updated_at': '2024-03-04 20:28:37', 'description': 'Izzy, a terrier-spaniel cross owned by Lee Parkin.', 'category': 'animal', 'memory_type': 'episodic', 'layer_uuid': 'd0fde4d0-c358-44b2-b698-a19314a336e0', 'layer_decomposition_uuid': '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f', 'id': '3a63bd68-0238-4865-9ea1-d7f88f58d6e8', 'type': 'detail'}\n"
-     ]
-    }
-   ],
-   "source": [
-    "# desired_id = '3a63bd68-0238-4865-9ea1-d7f88f58d6e8'  # Replace this with the actual 'id' you're looking for\n",
-    "# nodes_with_desired_id = []  # Initialize variable to store the node if found\n",
-    "\n",
-    "# # Iterate through all nodes and their attributes in the graph\n",
-    "# for node, attrs in CONNECTED_GRAPH.nodes(data=True):\n",
-    "#     if any(desired_id in str(value) for value in attrs.values()):  # Check if any attribute value contains the desired ID\n",
-    "#         nodes_with_desired_id.append(node)  # Add the node to the list if the ID is found in any attribute\n",
-    "\n",
-    "# # Check if any nodes were found and print the results\n",
-    "# if nodes_with_desired_id:\n",
-    "#     print(f\"Nodes containing ID '{desired_id}' in any attribute: {nodes_with_desired_id}\")\n",
-    "#     for node in nodes_with_desired_id:\n",
-    "#         print(f\"Attributes of node {node}: {G.nodes[node]}\")\n",
-    "# else:\n",
-    "#     print(f\"No nodes found containing ID '{desired_id}' in any attribute.\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9e45b7ed-1bb2-494d-8c5d-2af1cfa26f0f",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "55c4aa77-00db-4e1e-985f-fb04de74f371",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 314,
-   "id": "19eb60cc-554a-423d-a52e-8197e62b9906",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 422,
+   "execution_count": 111,
    "id": "3c28c2f1-ecd4-4b2b-8797-c07c89e01d6a",
    "metadata": {},
    "outputs": [],
    "source": [
-    "results = await adapted_qdrant_batch_search(relationship_dict)"
+    "results = await adapted_qdrant_batch_search(relationship_dict,db)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5992847c-daee-4851-b200-6ef9b5d8d9a7",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 305,
    "id": "cd2094ee-75d2-40a7-bd65-38392a53df4f",
    "metadata": {},
    "outputs": [],
@@ -2767,23 +2699,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "bab83148-8143-4d4c-8aa1-506f64de8f95",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 112,
    "id": "cc98c03c-d1bb-4a58-8227-5e4db7d03676",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('e1728322-74d9-4b31-b909-82d864252d88',\n",
+       " [[ScoredPoint(id='3a43b63e-1d9c-4fa6-96d8-86febfe44228', version=2, score=0.5302619, payload=None, vector=None, shard_key=None),\n",
+       "   ScoredPoint(id='7048f574-39c8-482a-98fc-dd3cb333ed0c', version=14, score=0.46721834, payload=None, vector=None, shard_key=None),\n",
+       "   ScoredPoint(id='ddb10a2b-8201-49e8-8151-caa45acda64b', version=11, score=0.2806478, payload=None, vector=None, shard_key=None)]],\n",
+       " 'Britons',\n",
+       " '1377f8b9-9af1-49ad-a29b-ca456a5006b6')"
+      ]
+     },
+     "execution_count": 112,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results[1]"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 425,
+   "execution_count": 113,
    "id": "2b4a8d09-2f80-461d-a95b-e943c1d305e5",
    "metadata": {},
    "outputs": [],
@@ -2793,349 +2735,187 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 426,
+   "execution_count": 115,
    "id": "12032d28-3f2a-4a29-93f4-3a5b453605dc",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'83b60dcf-0a04-474f-962b-121cc518e610': [{'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': '1531d1cb-3f68-46d7-a366-48d19f26bc93',\n",
-       "   'score': 0.9515395831652365,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': '3a6f81c3-ecdc-483e-88dd-59068ae332b1'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': '58b37c6f-1574-4b93-8ee5-16a22f01aa41',\n",
-       "   'score': 0.9383203721228301,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': 'ff3446b4-59ea-4ef9-969a-4afac7706aa6'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': 'c7bea689-6862-482a-b156-4fc1be3fa07f',\n",
-       "   'score': 0.9031738514995704,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': '9872ba50-8783-49b4-8fc4-9c53aae7cf57'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': '0025c486-d9eb-4820-9b95-f48a97c51d9b',\n",
-       "   'score': 0.9999951119054207,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': '15d3a8af-4e1a-4c3f-9d29-9c46723fd03a'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': '1531d1cb-3f68-46d7-a366-48d19f26bc93',\n",
-       "   'score': 1.000000059988928,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': 'b507af42-4ef7-4cb6-8df1-236d9abc4832'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': '2b18da1f-bd6f-49a6-b058-0387898dc5dc',\n",
-       "   'score': 0.999999997458257,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': '3a47799d-afa6-4ff0-b34b-627c81e46059'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': '5fddebc9-5092-46b6-9fa3-8c6170eb2e16',\n",
-       "   'score': 1.000000011544502,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': 'b0a798cb-39c3-4cab-a67c-778bc4e2df21'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': '0d22c2e8-a39b-4c71-abe6-88a90cdfd65d',\n",
-       "   'score': 0.9999863092459667,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': 'c61a5496-bb75-445c-9ae4-a4cca37cd794'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': '58b37c6f-1574-4b93-8ee5-16a22f01aa41',\n",
-       "   'score': 0.9999319831842581,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': 'e0a882a8-f8b1-4a9f-b154-fa061eaa684b'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': 'c7bea689-6862-482a-b156-4fc1be3fa07f',\n",
-       "   'score': 0.9999999766141177,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': 'b086b7b2-daf2-47f2-9a1e-35812afd9313'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': '69dea290-4f26-495f-b6df-c994d6de5f69',\n",
-       "   'score': 0.9999667262300376,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': '1b10518f-3973-4f79-9dab-3ef238c2cbaa'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': '0f371d44-7362-434d-843f-813add8f25c6',\n",
-       "   'score': 0.999999377442629,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': '59cca039-7f8b-4da5-b67d-51ac14e7c74c'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': '1531d1cb-3f68-46d7-a366-48d19f26bc93',\n",
-       "   'score': 0.9515395831652365,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': 'f38b0084-b074-4e47-ae66-cccb9827a87f'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': '58b37c6f-1574-4b93-8ee5-16a22f01aa41',\n",
-       "   'score': 0.9383203721228301,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': '88635a41-2a86-4bcc-bd34-affe7e302208'},\n",
-       "  {'collection_name_uuid': '83b60dcf-0a04-474f-962b-121cc518e610',\n",
-       "   'searched_node_id': 'c7bea689-6862-482a-b156-4fc1be3fa07f',\n",
-       "   'score': 0.9031738514995704,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': '13374d73-bb3b-4e2f-8a94-ff90f0056970'}],\n",
-       " '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f': [{'collection_name_uuid': '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f',\n",
-       "   'searched_node_id': '18b461fc-af3d-4e67-8cdb-3a02eb42192c',\n",
-       "   'score': 1.0000000492660635,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': '504729be-4ffc-493a-9cc8-1ae4ffc799e1'},\n",
-       "  {'collection_name_uuid': '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f',\n",
-       "   'searched_node_id': '3a63bd68-0238-4865-9ea1-d7f88f58d6e8',\n",
-       "   'score': 0.9999909638430637,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': '517b7476-e446-4986-8445-0a2cb14e543f'},\n",
-       "  {'collection_name_uuid': '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f',\n",
-       "   'searched_node_id': 'b168a539-5398-4588-b4a4-6963c73b5526',\n",
-       "   'score': 0.9999999987186259,\n",
-       "   'score_metadata': None,\n",
-       "   'original_id_for_search': '13a45934-879a-4fe4-90e9-0a5277e56297'},\n",
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-       "  {'collection_name_uuid': '796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f',\n",
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-       " '84fa9b73-12c0-4486-a0eb-3a03a81ca135': [{'collection_name_uuid': '84fa9b73-12c0-4486-a0eb-3a03a81ca135',\n",
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-       "  {'collection_name_uuid': '84fa9b73-12c0-4486-a0eb-3a03a81ca135',\n",
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-       "  {'collection_name_uuid': '84fa9b73-12c0-4486-a0eb-3a03a81ca135',\n",
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-       "  {'collection_name_uuid': '84fa9b73-12c0-4486-a0eb-3a03a81ca135',\n",
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-       "  {'collection_name_uuid': '84fa9b73-12c0-4486-a0eb-3a03a81ca135',\n",
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-       "  {'collection_name_uuid': '84fa9b73-12c0-4486-a0eb-3a03a81ca135',\n",
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-       "  {'collection_name_uuid': '84fa9b73-12c0-4486-a0eb-3a03a81ca135',\n",
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-       "  {'collection_name_uuid': '84fa9b73-12c0-4486-a0eb-3a03a81ca135',\n",
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-       "  {'collection_name_uuid': '84fa9b73-12c0-4486-a0eb-3a03a81ca135',\n",
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-       "  {'collection_name_uuid': '84fa9b73-12c0-4486-a0eb-3a03a81ca135',\n",
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-       " '3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d': [{'collection_name_uuid': '3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d',\n",
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-       "  {'collection_name_uuid': '3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d',\n",
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-       "  {'collection_name_uuid': '3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d',\n",
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-       " '92562711-f2a9-4ce6-9c7d-d5226080f982': [{'collection_name_uuid': '92562711-f2a9-4ce6-9c7d-d5226080f982',\n",
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-       "  {'collection_name_uuid': '92562711-f2a9-4ce6-9c7d-d5226080f982',\n",
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-       "  {'collection_name_uuid': '92562711-f2a9-4ce6-9c7d-d5226080f982',\n",
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-       " 'd0c2bd1c-7cec-4e5a-af13-dbb655623dda': [],\n",
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-       "  {'collection_name_uuid': '6fb85c94-f488-4f31-8e7c-a5905580a78c',\n",
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-       "  {'collection_name_uuid': '6fb85c94-f488-4f31-8e7c-a5905580a78c',\n",
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-       "  {'collection_name_uuid': '6fb85c94-f488-4f31-8e7c-a5905580a78c',\n",
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-       " '67200cb4-16fc-40f9-b231-c9e720aeb14a': []}"
+       "{'35d5b544-263f-4481-bd5f-63c194977bf7': [{'collection_name_uuid': '35d5b544-263f-4481-bd5f-63c194977bf7',\n",
+       "   'searched_node_id': '0fc96132-962d-4ea2-b21d-a56a43962a43',\n",
+       "   'score': 0.9947894,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '2c5dee85-6d5a-4eec-a9a1-b66ecda55430'},\n",
+       "  {'collection_name_uuid': '35d5b544-263f-4481-bd5f-63c194977bf7',\n",
+       "   'searched_node_id': 'e77fcc9b-4743-4569-a8c3-ed3e550afaa2',\n",
+       "   'score': 0.9505725,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': 'fda119e0-88b0-42d7-866e-46964b1b72c7'},\n",
+       "  {'collection_name_uuid': '35d5b544-263f-4481-bd5f-63c194977bf7',\n",
+       "   'searched_node_id': 'ac50b623-3467-4140-8178-fcc07fd8d767',\n",
+       "   'score': 0.9486799,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '4f8b499c-4b74-4657-9b59-ee12c932c35a'},\n",
+       "  {'collection_name_uuid': '35d5b544-263f-4481-bd5f-63c194977bf7',\n",
+       "   'searched_node_id': 'c35a2c40-282a-4fa7-9ad8-33539ba32a7a',\n",
+       "   'score': 0.91880643,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '8bf7b6e0-247d-4284-a24e-c5d345bdefd7'},\n",
+       "  {'collection_name_uuid': '35d5b544-263f-4481-bd5f-63c194977bf7',\n",
+       "   'searched_node_id': '0fc96132-962d-4ea2-b21d-a56a43962a43',\n",
+       "   'score': 0.91498965,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '5fd553e7-108b-4a19-a003-8e8fc6561c79'},\n",
+       "  {'collection_name_uuid': '35d5b544-263f-4481-bd5f-63c194977bf7',\n",
+       "   'searched_node_id': 'e77fcc9b-4743-4569-a8c3-ed3e550afaa2',\n",
+       "   'score': 0.9497367,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '49850164-7b1e-48e5-b316-fc1e532b5a06'},\n",
+       "  {'collection_name_uuid': '35d5b544-263f-4481-bd5f-63c194977bf7',\n",
+       "   'searched_node_id': 'e77fcc9b-4743-4569-a8c3-ed3e550afaa2',\n",
+       "   'score': 0.94998515,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': 'a9de1054-4cf7-479c-9c5e-40e6c60316ed'},\n",
+       "  {'collection_name_uuid': '35d5b544-263f-4481-bd5f-63c194977bf7',\n",
+       "   'searched_node_id': '96595ca2-dcb5-46a0-beb8-0f5cf81899b8',\n",
+       "   'score': 0.9723066,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': 'bd456423-2c74-45ef-9a29-1046cff794ba'},\n",
+       "  {'collection_name_uuid': '35d5b544-263f-4481-bd5f-63c194977bf7',\n",
+       "   'searched_node_id': '0fc96132-962d-4ea2-b21d-a56a43962a43',\n",
+       "   'score': 0.9947894,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '0aeb7399-84e5-401d-b1d7-3785b8bc0b33'}],\n",
+       " 'e1728322-74d9-4b31-b909-82d864252d88': [{'collection_name_uuid': 'e1728322-74d9-4b31-b909-82d864252d88',\n",
+       "   'searched_node_id': 'a9de1054-4cf7-479c-9c5e-40e6c60316ed',\n",
+       "   'score': 0.9378142,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': 'fda119e0-88b0-42d7-866e-46964b1b72c7'},\n",
+       "  {'collection_name_uuid': 'e1728322-74d9-4b31-b909-82d864252d88',\n",
+       "   'searched_node_id': 'a9de1054-4cf7-479c-9c5e-40e6c60316ed',\n",
+       "   'score': 0.94998515,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': 'e77fcc9b-4743-4569-a8c3-ed3e550afaa2'},\n",
+       "  {'collection_name_uuid': 'e1728322-74d9-4b31-b909-82d864252d88',\n",
+       "   'searched_node_id': 'a9de1054-4cf7-479c-9c5e-40e6c60316ed',\n",
+       "   'score': 0.9300788,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '49850164-7b1e-48e5-b316-fc1e532b5a06'}],\n",
+       " 'ee5effad-a527-4fd0-85e3-3928209d18cd': [{'collection_name_uuid': 'ee5effad-a527-4fd0-85e3-3928209d18cd',\n",
+       "   'searched_node_id': '0aeb7399-84e5-401d-b1d7-3785b8bc0b33',\n",
+       "   'score': 1.0,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '2c5dee85-6d5a-4eec-a9a1-b66ecda55430'},\n",
+       "  {'collection_name_uuid': 'ee5effad-a527-4fd0-85e3-3928209d18cd',\n",
+       "   'searched_node_id': 'bd456423-2c74-45ef-9a29-1046cff794ba',\n",
+       "   'score': 0.9723066,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '96595ca2-dcb5-46a0-beb8-0f5cf81899b8'},\n",
+       "  {'collection_name_uuid': 'ee5effad-a527-4fd0-85e3-3928209d18cd',\n",
+       "   'searched_node_id': '0aeb7399-84e5-401d-b1d7-3785b8bc0b33',\n",
+       "   'score': 0.9947894,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '0fc96132-962d-4ea2-b21d-a56a43962a43'},\n",
+       "  {'collection_name_uuid': 'ee5effad-a527-4fd0-85e3-3928209d18cd',\n",
+       "   'searched_node_id': 'e6b72da1-71bb-4d82-972a-df07e0d96608',\n",
+       "   'score': 0.90114295,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '8bf7b6e0-247d-4284-a24e-c5d345bdefd7'},\n",
+       "  {'collection_name_uuid': 'ee5effad-a527-4fd0-85e3-3928209d18cd',\n",
+       "   'searched_node_id': '0aeb7399-84e5-401d-b1d7-3785b8bc0b33',\n",
+       "   'score': 0.9171606,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '5fd553e7-108b-4a19-a003-8e8fc6561c79'}],\n",
+       " '3a4b6713-b9bd-44f5-8017-49afc3aecf49': [{'collection_name_uuid': '3a4b6713-b9bd-44f5-8017-49afc3aecf49',\n",
+       "   'searched_node_id': '2c5dee85-6d5a-4eec-a9a1-b66ecda55430',\n",
+       "   'score': 0.9947894,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '0fc96132-962d-4ea2-b21d-a56a43962a43'},\n",
+       "  {'collection_name_uuid': '3a4b6713-b9bd-44f5-8017-49afc3aecf49',\n",
+       "   'searched_node_id': 'fda119e0-88b0-42d7-866e-46964b1b72c7',\n",
+       "   'score': 0.9505725,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': 'e77fcc9b-4743-4569-a8c3-ed3e550afaa2'},\n",
+       "  {'collection_name_uuid': '3a4b6713-b9bd-44f5-8017-49afc3aecf49',\n",
+       "   'searched_node_id': '2c5dee85-6d5a-4eec-a9a1-b66ecda55430',\n",
+       "   'score': 0.91730887,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '5fd553e7-108b-4a19-a003-8e8fc6561c79'},\n",
+       "  {'collection_name_uuid': '3a4b6713-b9bd-44f5-8017-49afc3aecf49',\n",
+       "   'searched_node_id': 'fda119e0-88b0-42d7-866e-46964b1b72c7',\n",
+       "   'score': 0.92391217,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '49850164-7b1e-48e5-b316-fc1e532b5a06'},\n",
+       "  {'collection_name_uuid': '3a4b6713-b9bd-44f5-8017-49afc3aecf49',\n",
+       "   'searched_node_id': 'fda119e0-88b0-42d7-866e-46964b1b72c7',\n",
+       "   'score': 0.9378142,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': 'a9de1054-4cf7-479c-9c5e-40e6c60316ed'},\n",
+       "  {'collection_name_uuid': '3a4b6713-b9bd-44f5-8017-49afc3aecf49',\n",
+       "   'searched_node_id': '2c5dee85-6d5a-4eec-a9a1-b66ecda55430',\n",
+       "   'score': 1.0,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '0aeb7399-84e5-401d-b1d7-3785b8bc0b33'}],\n",
+       " 'cac55ec8-d110-4405-8add-4d29be627951': [{'collection_name_uuid': 'cac55ec8-d110-4405-8add-4d29be627951',\n",
+       "   'searched_node_id': '886d5956-c81a-4c4c-a11d-671954d4c39c',\n",
+       "   'score': 0.922881,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '5fd553e7-108b-4a19-a003-8e8fc6561c79'}],\n",
+       " 'ee770796-286a-469d-96b2-d095bc9ecf54': [{'collection_name_uuid': 'ee770796-286a-469d-96b2-d095bc9ecf54',\n",
+       "   'searched_node_id': '5fd553e7-108b-4a19-a003-8e8fc6561c79',\n",
+       "   'score': 0.92040086,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '886d5956-c81a-4c4c-a11d-671954d4c39c'},\n",
+       "  {'collection_name_uuid': 'ee770796-286a-469d-96b2-d095bc9ecf54',\n",
+       "   'searched_node_id': '5fd553e7-108b-4a19-a003-8e8fc6561c79',\n",
+       "   'score': 0.91730887,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '2c5dee85-6d5a-4eec-a9a1-b66ecda55430'},\n",
+       "  {'collection_name_uuid': 'ee770796-286a-469d-96b2-d095bc9ecf54',\n",
+       "   'searched_node_id': '49850164-7b1e-48e5-b316-fc1e532b5a06',\n",
+       "   'score': 0.92391217,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': 'fda119e0-88b0-42d7-866e-46964b1b72c7'},\n",
+       "  {'collection_name_uuid': 'ee770796-286a-469d-96b2-d095bc9ecf54',\n",
+       "   'searched_node_id': '4f8b499c-4b74-4657-9b59-ee12c932c35a',\n",
+       "   'score': 0.9486929,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': 'ac50b623-3467-4140-8178-fcc07fd8d767'},\n",
+       "  {'collection_name_uuid': 'ee770796-286a-469d-96b2-d095bc9ecf54',\n",
+       "   'searched_node_id': '8bf7b6e0-247d-4284-a24e-c5d345bdefd7',\n",
+       "   'score': 0.9188081,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': 'c35a2c40-282a-4fa7-9ad8-33539ba32a7a'},\n",
+       "  {'collection_name_uuid': 'ee770796-286a-469d-96b2-d095bc9ecf54',\n",
+       "   'searched_node_id': '5fd553e7-108b-4a19-a003-8e8fc6561c79',\n",
+       "   'score': 0.91498965,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '0fc96132-962d-4ea2-b21d-a56a43962a43'},\n",
+       "  {'collection_name_uuid': 'ee770796-286a-469d-96b2-d095bc9ecf54',\n",
+       "   'searched_node_id': '49850164-7b1e-48e5-b316-fc1e532b5a06',\n",
+       "   'score': 0.9497367,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': 'e77fcc9b-4743-4569-a8c3-ed3e550afaa2'},\n",
+       "  {'collection_name_uuid': 'ee770796-286a-469d-96b2-d095bc9ecf54',\n",
+       "   'searched_node_id': '49850164-7b1e-48e5-b316-fc1e532b5a06',\n",
+       "   'score': 0.9300788,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': 'a9de1054-4cf7-479c-9c5e-40e6c60316ed'},\n",
+       "  {'collection_name_uuid': 'ee770796-286a-469d-96b2-d095bc9ecf54',\n",
+       "   'searched_node_id': '8bf7b6e0-247d-4284-a24e-c5d345bdefd7',\n",
+       "   'score': 0.90115196,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': 'e6b72da1-71bb-4d82-972a-df07e0d96608'},\n",
+       "  {'collection_name_uuid': 'ee770796-286a-469d-96b2-d095bc9ecf54',\n",
+       "   'searched_node_id': '5fd553e7-108b-4a19-a003-8e8fc6561c79',\n",
+       "   'score': 0.91730887,\n",
+       "   'score_metadata': None,\n",
+       "   'original_id_for_search': '0aeb7399-84e5-401d-b1d7-3785b8bc0b33'}],\n",
+       " 'e800462b-fbe4-4ea9-a71b-fc8eda28728f': []}"
       ]
      },
-     "execution_count": 426,
+     "execution_count": 115,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3205,7 +2985,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 428,
+   "execution_count": 116,
    "id": "97302500-241e-41b3-9355-4523bcb4d01b",
    "metadata": {},
    "outputs": [],
@@ -3349,7 +3129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 429,
+   "execution_count": 118,
    "id": "2c344176-8f70-4a0c-b528-0e85ed810984",
    "metadata": {},
    "outputs": [
@@ -3357,209 +3137,113 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1531d1cb-3f68-46d7-a366-48d19f26bc93\n",
-      "Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 1531d1cb-3f68-46d7-a366-48d19f26bc93\n",
-      "Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 3a6f81c3-ecdc-483e-88dd-59068ae332b1\n",
-      "58b37c6f-1574-4b93-8ee5-16a22f01aa41\n",
-      "Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 58b37c6f-1574-4b93-8ee5-16a22f01aa41\n",
-      "Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - ff3446b4-59ea-4ef9-969a-4afac7706aa6\n",
-      "c7bea689-6862-482a-b156-4fc1be3fa07f\n",
-      "Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - c7bea689-6862-482a-b156-4fc1be3fa07f\n",
-      "Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 9872ba50-8783-49b4-8fc4-9c53aae7cf57\n",
-      "0025c486-d9eb-4820-9b95-f48a97c51d9b\n",
-      "Lee Parkin is a 50-year-old man who owned a terrier-spaniel cross named Izzy and has been diagnosed with post-traumatic stress disorder following a dog attack. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 0025c486-d9eb-4820-9b95-f48a97c51d9b\n",
-      "Lee Parkin is a 50-year-old man who owned a terrier-spaniel cross named Izzy and has been diagnosed with post-traumatic stress disorder following a dog attack. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - 15d3a8af-4e1a-4c3f-9d29-9c46723fd03a\n",
-      "1531d1cb-3f68-46d7-a366-48d19f26bc93\n",
-      "Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 1531d1cb-3f68-46d7-a366-48d19f26bc93\n",
-      "Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b507af42-4ef7-4cb6-8df1-236d9abc4832\n",
-      "2b18da1f-bd6f-49a6-b058-0387898dc5dc\n",
-      "A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 2b18da1f-bd6f-49a6-b058-0387898dc5dc\n",
-      "A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - 3a47799d-afa6-4ff0-b34b-627c81e46059\n",
-      "5fddebc9-5092-46b6-9fa3-8c6170eb2e16\n",
-      "The location where Lee Parkin lived and where the dog attack on his pet Izzy occurred. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 5fddebc9-5092-46b6-9fa3-8c6170eb2e16\n",
-      "The location where Lee Parkin lived and where the dog attack on his pet Izzy occurred. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b0a798cb-39c3-4cab-a67c-778bc4e2df21\n",
-      "0d22c2e8-a39b-4c71-abe6-88a90cdfd65d\n",
-      "An XL bully is a type of dog that attacked and killed the terrier-spaniel cross Izzy, and also injured a Siberian husky named Naevia; described as dangerously out of control by Lee Parkin. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 0d22c2e8-a39b-4c71-abe6-88a90cdfd65d\n",
-      "An XL bully is a type of dog that attacked and killed the terrier-spaniel cross Izzy, and also injured a Siberian husky named Naevia; described as dangerously out of control by Lee Parkin. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - c61a5496-bb75-445c-9ae4-a4cca37cd794\n",
-      "58b37c6f-1574-4b93-8ee5-16a22f01aa41\n",
-      "Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 58b37c6f-1574-4b93-8ee5-16a22f01aa41\n",
-      "Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - e0a882a8-f8b1-4a9f-b154-fa061eaa684b\n",
-      "c7bea689-6862-482a-b156-4fc1be3fa07f\n",
-      "Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - c7bea689-6862-482a-b156-4fc1be3fa07f\n",
-      "Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b086b7b2-daf2-47f2-9a1e-35812afd9313\n",
-      "69dea290-4f26-495f-b6df-c994d6de5f69\n",
-      "A dog attack on a beach in Redcar where Naevia, a Siberian husky, was severely injured by two XL bullies. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 69dea290-4f26-495f-b6df-c994d6de5f69\n",
-      "A dog attack on a beach in Redcar where Naevia, a Siberian husky, was severely injured by two XL bullies. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - 1b10518f-3973-4f79-9dab-3ef238c2cbaa\n",
-      "0f371d44-7362-434d-843f-813add8f25c6\n",
-      "The location on the North Yorkshire coast where Naevia the Siberian husky was attacked by two XL bullies. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 0f371d44-7362-434d-843f-813add8f25c6\n",
-      "The location on the North Yorkshire coast where Naevia the Siberian husky was attacked by two XL bullies. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - 59cca039-7f8b-4da5-b67d-51ac14e7c74c\n",
-      "1531d1cb-3f68-46d7-a366-48d19f26bc93\n",
-      "Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 1531d1cb-3f68-46d7-a366-48d19f26bc93\n",
-      "Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - f38b0084-b074-4e47-ae66-cccb9827a87f\n",
-      "58b37c6f-1574-4b93-8ee5-16a22f01aa41\n",
-      "Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 58b37c6f-1574-4b93-8ee5-16a22f01aa41\n",
-      "Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 88635a41-2a86-4bcc-bd34-affe7e302208\n",
-      "c7bea689-6862-482a-b156-4fc1be3fa07f\n",
-      "Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - c7bea689-6862-482a-b156-4fc1be3fa07f\n",
-      "Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 13374d73-bb3b-4e2f-8a94-ff90f0056970\n",
-      "18b461fc-af3d-4e67-8cdb-3a02eb42192c\n",
-      "Lee Parkin, a 50-year-old man, owner of Izzy. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - 18b461fc-af3d-4e67-8cdb-3a02eb42192c\n",
-      "Lee Parkin, a 50-year-old man, owner of Izzy. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 504729be-4ffc-493a-9cc8-1ae4ffc799e1\n",
-      "3a63bd68-0238-4865-9ea1-d7f88f58d6e8\n",
-      "Izzy, a terrier-spaniel cross owned by Lee Parkin. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - 3a63bd68-0238-4865-9ea1-d7f88f58d6e8\n",
-      "Izzy, a terrier-spaniel cross owned by Lee Parkin. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 517b7476-e446-4986-8445-0a2cb14e543f\n",
-      "b168a539-5398-4588-b4a4-6963c73b5526\n",
-      "XL bully, a type of dog that attacked Izzy and Naevia. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - b168a539-5398-4588-b4a4-6963c73b5526\n",
-      "XL bully, a type of dog that attacked Izzy and Naevia. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 13a45934-879a-4fe4-90e9-0a5277e56297\n",
-      "99675528-5a7f-4941-b378-87b03e151cf4\n",
-      "Marie Hay, owner of a Siberian Husky named Naevia. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - 99675528-5a7f-4941-b378-87b03e151cf4\n",
-      "Marie Hay, owner of a Siberian Husky named Naevia. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 3fce46e3-8006-4940-bc47-e011408f663c\n",
-      "6ebecd15-37bd-4553-9c33-89df1fea543c\n",
-      "Naevia, a seven-year-old Siberian Husky owned by Marie Hay. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - 6ebecd15-37bd-4553-9c33-89df1fea543c\n",
-      "Naevia, a seven-year-old Siberian Husky owned by Marie Hay. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 939465bc-c763-4122-9328-984c5c59f712\n",
-      "90cde4a1-7b75-4e61-844f-5a5f5e602690\n",
-      "Doncaster, the town where Lee Parkin's dog Izzy was killed by an XL bully. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - 90cde4a1-7b75-4e61-844f-5a5f5e602690\n",
-      "Doncaster, the town where Lee Parkin's dog Izzy was killed by an XL bully. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 3cc5365b-b9e7-46d7-81c8-e125af634e32\n",
-      "f866a9f5-3b89-418e-a94b-37923e0c4982\n",
-      "Redcar Beach on the North Yorkshire coast, where Naevia was attacked by two XL bullies. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - f866a9f5-3b89-418e-a94b-37923e0c4982\n",
-      "Redcar Beach on the North Yorkshire coast, where Naevia was attacked by two XL bullies. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 4aa02775-42e7-41d5-b91f-1f8a764657ed\n",
-      "f38b0084-b074-4e47-ae66-cccb9827a87f\n",
-      "Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - f38b0084-b074-4e47-ae66-cccb9827a87f\n",
-      "Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 1531d1cb-3f68-46d7-a366-48d19f26bc93\n",
-      "88635a41-2a86-4bcc-bd34-affe7e302208\n",
-      "Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 88635a41-2a86-4bcc-bd34-affe7e302208\n",
-      "Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 58b37c6f-1574-4b93-8ee5-16a22f01aa41\n",
-      "13374d73-bb3b-4e2f-8a94-ff90f0056970\n",
-      "Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 13374d73-bb3b-4e2f-8a94-ff90f0056970\n",
-      "Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - c7bea689-6862-482a-b156-4fc1be3fa07f\n",
-      "7c87ffb5-0359-4421-8e03-61457119ca4b\n",
-      "Lee Parkin, owner of a terrier-spaniel cross named Izzy, experienced a traumatic event with his pet and suffers from post-traumatic stress disorder. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 7c87ffb5-0359-4421-8e03-61457119ca4b\n",
-      "Lee Parkin, owner of a terrier-spaniel cross named Izzy, experienced a traumatic event with his pet and suffers from post-traumatic stress disorder. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 49ab2d1b-9163-485f-81c8-8667fc707554\n",
-      "f38b0084-b074-4e47-ae66-cccb9827a87f\n",
-      "Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - f38b0084-b074-4e47-ae66-cccb9827a87f\n",
-      "Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 3a6f81c3-ecdc-483e-88dd-59068ae332b1\n",
-      "a942b1b8-7ff2-4177-83ef-022bb69affac\n",
-      "An XL bully attacked and killed Izzy, a terrier-spaniel cross owned by Lee Parkin in Doncaster. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - a942b1b8-7ff2-4177-83ef-022bb69affac\n",
-      "An XL bully attacked and killed Izzy, a terrier-spaniel cross owned by Lee Parkin in Doncaster. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 5560940a-8504-40bc-94d4-71aa399af5ab\n",
-      "88635a41-2a86-4bcc-bd34-affe7e302208\n",
-      "Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 88635a41-2a86-4bcc-bd34-affe7e302208\n",
-      "Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - ff3446b4-59ea-4ef9-969a-4afac7706aa6\n",
-      "13374d73-bb3b-4e2f-8a94-ff90f0056970\n",
-      "Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 13374d73-bb3b-4e2f-8a94-ff90f0056970\n",
-      "Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 9872ba50-8783-49b4-8fc4-9c53aae7cf57\n",
-      "f38b0084-b074-4e47-ae66-cccb9827a87f\n",
-      "Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - f38b0084-b074-4e47-ae66-cccb9827a87f\n",
-      "Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b507af42-4ef7-4cb6-8df1-236d9abc4832\n",
-      "88635a41-2a86-4bcc-bd34-affe7e302208\n",
-      "Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 88635a41-2a86-4bcc-bd34-affe7e302208\n",
-      "Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - e0a882a8-f8b1-4a9f-b154-fa061eaa684b\n",
-      "13374d73-bb3b-4e2f-8a94-ff90f0056970\n",
-      "Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 13374d73-bb3b-4e2f-8a94-ff90f0056970\n",
-      "Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b086b7b2-daf2-47f2-9a1e-35812afd9313\n",
-      "504729be-4ffc-493a-9cc8-1ae4ffc799e1\n",
-      "Lee Parkin, a 50-year-old man, owner of Izzy. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 504729be-4ffc-493a-9cc8-1ae4ffc799e1\n",
-      "Lee Parkin, a 50-year-old man, owner of Izzy. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - 18b461fc-af3d-4e67-8cdb-3a02eb42192c\n",
-      "517b7476-e446-4986-8445-0a2cb14e543f\n",
-      "Izzy, a terrier-spaniel cross owned by Lee Parkin. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 517b7476-e446-4986-8445-0a2cb14e543f\n",
-      "Izzy, a terrier-spaniel cross owned by Lee Parkin. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - 3a63bd68-0238-4865-9ea1-d7f88f58d6e8\n",
-      "13a45934-879a-4fe4-90e9-0a5277e56297\n",
-      "XL bully, a type of dog that attacked Izzy and Naevia. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 13a45934-879a-4fe4-90e9-0a5277e56297\n",
-      "XL bully, a type of dog that attacked Izzy and Naevia. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - b168a539-5398-4588-b4a4-6963c73b5526\n",
-      "3fce46e3-8006-4940-bc47-e011408f663c\n",
-      "Marie Hay, owner of a Siberian Husky named Naevia. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 3fce46e3-8006-4940-bc47-e011408f663c\n",
-      "Marie Hay, owner of a Siberian Husky named Naevia. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - 99675528-5a7f-4941-b378-87b03e151cf4\n",
-      "939465bc-c763-4122-9328-984c5c59f712\n",
-      "Naevia, a seven-year-old Siberian Husky owned by Marie Hay. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 939465bc-c763-4122-9328-984c5c59f712\n",
-      "Naevia, a seven-year-old Siberian Husky owned by Marie Hay. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - 6ebecd15-37bd-4553-9c33-89df1fea543c\n",
-      "3cc5365b-b9e7-46d7-81c8-e125af634e32\n",
-      "Doncaster, the town where Lee Parkin's dog Izzy was killed by an XL bully. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 3cc5365b-b9e7-46d7-81c8-e125af634e32\n",
-      "Doncaster, the town where Lee Parkin's dog Izzy was killed by an XL bully. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - 90cde4a1-7b75-4e61-844f-5a5f5e602690\n",
-      "4aa02775-42e7-41d5-b91f-1f8a764657ed\n",
-      "Redcar Beach on the North Yorkshire coast, where Naevia was attacked by two XL bullies. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 3f7bb086-5ffc-4f61-8b5d-dcd2e708d01d - 4aa02775-42e7-41d5-b91f-1f8a764657ed\n",
-      "Redcar Beach on the North Yorkshire coast, where Naevia was attacked by two XL bullies. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 796b74e7-f6a6-4d0e-a4d3-4e72212f8b1f - f866a9f5-3b89-418e-a94b-37923e0c4982\n",
-      "15d3a8af-4e1a-4c3f-9d29-9c46723fd03a\n",
-      "Lee Parkin is a 50-year-old man who owned a terrier-spaniel cross named Izzy and has been diagnosed with post-traumatic stress disorder following a dog attack. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - 15d3a8af-4e1a-4c3f-9d29-9c46723fd03a\n",
-      "Lee Parkin is a 50-year-old man who owned a terrier-spaniel cross named Izzy and has been diagnosed with post-traumatic stress disorder following a dog attack. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 0025c486-d9eb-4820-9b95-f48a97c51d9b\n",
-      "b507af42-4ef7-4cb6-8df1-236d9abc4832\n",
-      "Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b507af42-4ef7-4cb6-8df1-236d9abc4832\n",
-      "Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 1531d1cb-3f68-46d7-a366-48d19f26bc93\n",
-      "3a47799d-afa6-4ff0-b34b-627c81e46059\n",
-      "A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - 3a47799d-afa6-4ff0-b34b-627c81e46059\n",
-      "A dog attack where an XL bully killed Lee Parkin's dog, Izzy, after a 20-minute attack despite intervention attempts by Lee Parkin and others. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 2b18da1f-bd6f-49a6-b058-0387898dc5dc\n",
-      "b0a798cb-39c3-4cab-a67c-778bc4e2df21\n",
-      "The location where Lee Parkin lived and where the dog attack on his pet Izzy occurred. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b0a798cb-39c3-4cab-a67c-778bc4e2df21\n",
-      "The location where Lee Parkin lived and where the dog attack on his pet Izzy occurred. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 5fddebc9-5092-46b6-9fa3-8c6170eb2e16\n",
-      "c61a5496-bb75-445c-9ae4-a4cca37cd794\n",
-      "An XL bully is a type of dog that attacked and killed the terrier-spaniel cross Izzy, and also injured a Siberian husky named Naevia; described as dangerously out of control by Lee Parkin. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - c61a5496-bb75-445c-9ae4-a4cca37cd794\n",
-      "An XL bully is a type of dog that attacked and killed the terrier-spaniel cross Izzy, and also injured a Siberian husky named Naevia; described as dangerously out of control by Lee Parkin. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 0d22c2e8-a39b-4c71-abe6-88a90cdfd65d\n",
-      "e0a882a8-f8b1-4a9f-b154-fa061eaa684b\n",
-      "Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - e0a882a8-f8b1-4a9f-b154-fa061eaa684b\n",
-      "Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 58b37c6f-1574-4b93-8ee5-16a22f01aa41\n",
-      "b086b7b2-daf2-47f2-9a1e-35812afd9313\n",
-      "Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b086b7b2-daf2-47f2-9a1e-35812afd9313\n",
-      "Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - c7bea689-6862-482a-b156-4fc1be3fa07f\n",
-      "1b10518f-3973-4f79-9dab-3ef238c2cbaa\n",
-      "A dog attack on a beach in Redcar where Naevia, a Siberian husky, was severely injured by two XL bullies. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - 1b10518f-3973-4f79-9dab-3ef238c2cbaa\n",
-      "A dog attack on a beach in Redcar where Naevia, a Siberian husky, was severely injured by two XL bullies. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 69dea290-4f26-495f-b6df-c994d6de5f69\n",
-      "59cca039-7f8b-4da5-b67d-51ac14e7c74c\n",
-      "The location on the North Yorkshire coast where Naevia the Siberian husky was attacked by two XL bullies. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - 59cca039-7f8b-4da5-b67d-51ac14e7c74c\n",
-      "The location on the North Yorkshire coast where Naevia the Siberian husky was attacked by two XL bullies. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 0f371d44-7362-434d-843f-813add8f25c6\n",
-      "b507af42-4ef7-4cb6-8df1-236d9abc4832\n",
-      "Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b507af42-4ef7-4cb6-8df1-236d9abc4832\n",
-      "Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 3a6f81c3-ecdc-483e-88dd-59068ae332b1\n",
-      "e0a882a8-f8b1-4a9f-b154-fa061eaa684b\n",
-      "Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - e0a882a8-f8b1-4a9f-b154-fa061eaa684b\n",
-      "Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - ff3446b4-59ea-4ef9-969a-4afac7706aa6\n",
-      "b086b7b2-daf2-47f2-9a1e-35812afd9313\n",
-      "Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b086b7b2-daf2-47f2-9a1e-35812afd9313\n",
-      "Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 9872ba50-8783-49b4-8fc4-9c53aae7cf57\n",
-      "b507af42-4ef7-4cb6-8df1-236d9abc4832\n",
-      "Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b507af42-4ef7-4cb6-8df1-236d9abc4832\n",
-      "Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - f38b0084-b074-4e47-ae66-cccb9827a87f\n",
-      "e0a882a8-f8b1-4a9f-b154-fa061eaa684b\n",
-      "Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - e0a882a8-f8b1-4a9f-b154-fa061eaa684b\n",
-      "Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 88635a41-2a86-4bcc-bd34-affe7e302208\n",
-      "b086b7b2-daf2-47f2-9a1e-35812afd9313\n",
-      "Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b086b7b2-daf2-47f2-9a1e-35812afd9313\n",
-      "Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 13374d73-bb3b-4e2f-8a94-ff90f0056970\n",
-      "3a6f81c3-ecdc-483e-88dd-59068ae332b1\n",
-      "Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 3a6f81c3-ecdc-483e-88dd-59068ae332b1\n",
-      "Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 1531d1cb-3f68-46d7-a366-48d19f26bc93\n",
-      "ff3446b4-59ea-4ef9-969a-4afac7706aa6\n",
-      "Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - ff3446b4-59ea-4ef9-969a-4afac7706aa6\n",
-      "Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - 58b37c6f-1574-4b93-8ee5-16a22f01aa41\n",
-      "9872ba50-8783-49b4-8fc4-9c53aae7cf57\n",
-      "Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 9872ba50-8783-49b4-8fc4-9c53aae7cf57\n",
-      "Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 83b60dcf-0a04-474f-962b-121cc518e610 - c7bea689-6862-482a-b156-4fc1be3fa07f\n",
-      "3a6f81c3-ecdc-483e-88dd-59068ae332b1\n",
-      "Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 3a6f81c3-ecdc-483e-88dd-59068ae332b1\n",
-      "Izzy was a terrier-spaniel cross dog owned by Lee Parkin for nearly 10 years, killed by an XL bully dog. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b507af42-4ef7-4cb6-8df1-236d9abc4832\n",
-      "ff3446b4-59ea-4ef9-969a-4afac7706aa6\n",
-      "Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - ff3446b4-59ea-4ef9-969a-4afac7706aa6\n",
-      "Marie Hay is the owner of a Siberian husky named Naevia who survived an attack by two XL bullies and has been left with both physical and mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - e0a882a8-f8b1-4a9f-b154-fa061eaa684b\n",
-      "9872ba50-8783-49b4-8fc4-9c53aae7cf57\n",
-      "Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 9872ba50-8783-49b4-8fc4-9c53aae7cf57\n",
-      "Naevia is a seven-year-old Siberian husky owned by Marie Hay, who survived an attack by two XL bullies but suffered life-changing injuries and kidney failure. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 92562711-f2a9-4ce6-9c7d-d5226080f982 - b086b7b2-daf2-47f2-9a1e-35812afd9313\n",
-      "49ab2d1b-9163-485f-81c8-8667fc707554\n",
-      "Lee Parkin, owner of a terrier-spaniel cross named Izzy, experienced a traumatic event with his pet and suffers from post-traumatic stress disorder. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 49ab2d1b-9163-485f-81c8-8667fc707554\n",
-      "Lee Parkin, owner of a terrier-spaniel cross named Izzy, experienced a traumatic event with his pet and suffers from post-traumatic stress disorder. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 7c87ffb5-0359-4421-8e03-61457119ca4b\n",
-      "3a6f81c3-ecdc-483e-88dd-59068ae332b1\n",
-      "Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 3a6f81c3-ecdc-483e-88dd-59068ae332b1\n",
-      "Izzy, a terrier-spaniel cross, was owned by Lee Parkin and was killed by an XL bully during a walk. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - f38b0084-b074-4e47-ae66-cccb9827a87f\n",
-      "5560940a-8504-40bc-94d4-71aa399af5ab\n",
-      "An XL bully attacked and killed Izzy, a terrier-spaniel cross owned by Lee Parkin in Doncaster. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 5560940a-8504-40bc-94d4-71aa399af5ab\n",
-      "An XL bully attacked and killed Izzy, a terrier-spaniel cross owned by Lee Parkin in Doncaster. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - a942b1b8-7ff2-4177-83ef-022bb69affac\n",
-      "ff3446b4-59ea-4ef9-969a-4afac7706aa6\n",
-      "Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - ff3446b4-59ea-4ef9-969a-4afac7706aa6\n",
-      "Marie Hay's Siberian husky named Naevia survived an attack by two XL bullies but was left with life-changing injuries and subsequently developed mental scars. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 88635a41-2a86-4bcc-bd34-affe7e302208\n",
-      "9872ba50-8783-49b4-8fc4-9c53aae7cf57\n",
-      "Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 6fb85c94-f488-4f31-8e7c-a5905580a78c - 9872ba50-8783-49b4-8fc4-9c53aae7cf57\n",
-      "Naevia, a Siberian husky owned by Marie Hay, survived an attack by two XL bullies on a beach in Redcar, resulting in life-changing injuries and causing significant vet bills. - d0fde4d0-c358-44b2-b698-a19314a336e0  - 84fa9b73-12c0-4486-a0eb-3a03a81ca135 - 13374d73-bb3b-4e2f-8a94-ff90f0056970\n"
+      "0fc96132-962d-4ea2-b21d-a56a43962a43\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about 9 million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 35d5b544-263f-4481-bd5f-63c194977bf7 - 0fc96132-962d-4ea2-b21d-a56a43962a43\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 3a4b6713-b9bd-44f5-8017-49afc3aecf49 - 2c5dee85-6d5a-4eec-a9a1-b66ecda55430\n",
+      "e77fcc9b-4743-4569-a8c3-ed3e550afaa2\n",
+      "Dogs Trust charity coined the slogan A dog is for life, not just for Christmas in 1978 - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 35d5b544-263f-4481-bd5f-63c194977bf7 - e77fcc9b-4743-4569-a8c3-ed3e550afaa2\n",
+      "A dog is for life, not just for Christmas, slogan by Dogs Trust charity coined in 1978 - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 3a4b6713-b9bd-44f5-8017-49afc3aecf49 - fda119e0-88b0-42d7-866e-46964b1b72c7\n",
+      "ac50b623-3467-4140-8178-fcc07fd8d767\n",
+      "Britons have always been a bit silly about animals, keeping pets is an essential way of life - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 35d5b544-263f-4481-bd5f-63c194977bf7 - ac50b623-3467-4140-8178-fcc07fd8d767\n",
+      "Britons have always been a bit silly about animals, considering keeping pets as an entire way of life. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 4f8b499c-4b74-4657-9b59-ee12c932c35a\n",
+      "c35a2c40-282a-4fa7-9ad8-33539ba32a7a\n",
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+      "In the UK, unlike Australia or New Zealand, dogs are not just permitted on public transport but often openly encouraged. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 8bf7b6e0-247d-4284-a24e-c5d345bdefd7\n",
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+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 5fd553e7-108b-4a19-a003-8e8fc6561c79\n",
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+      "The Dogs Trust charity coined its famous slogan \"A dog is for life, not just for Christmas\" back in 1978. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 49850164-7b1e-48e5-b316-fc1e532b5a06\n",
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+      "Many pubs and shops in the UK display signs reading Dogs welcome, people tolerated and have treat jars on their counters - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee5effad-a527-4fd0-85e3-3928209d18cd - bd456423-2c74-45ef-9a29-1046cff794ba\n",
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+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about 9 million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 35d5b544-263f-4481-bd5f-63c194977bf7 - 0fc96132-962d-4ea2-b21d-a56a43962a43\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee5effad-a527-4fd0-85e3-3928209d18cd - 0aeb7399-84e5-401d-b1d7-3785b8bc0b33\n",
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+      "A dog is for life, not just for Christmas, slogan by Dogs Trust charity coined in 1978 - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 3a4b6713-b9bd-44f5-8017-49afc3aecf49 - fda119e0-88b0-42d7-866e-46964b1b72c7\n",
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+      "Dogs Trust slogan coined in 1978: A dog is for life, not just for Christmas - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - e1728322-74d9-4b31-b909-82d864252d88 - a9de1054-4cf7-479c-9c5e-40e6c60316ed\n",
+      "Dogs Trust charity coined the slogan A dog is for life, not just for Christmas in 1978 - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 35d5b544-263f-4481-bd5f-63c194977bf7 - e77fcc9b-4743-4569-a8c3-ed3e550afaa2\n",
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+      "Dogs Trust slogan coined in 1978: A dog is for life, not just for Christmas - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - e1728322-74d9-4b31-b909-82d864252d88 - a9de1054-4cf7-479c-9c5e-40e6c60316ed\n",
+      "The Dogs Trust charity coined its famous slogan \"A dog is for life, not just for Christmas\" back in 1978. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 49850164-7b1e-48e5-b316-fc1e532b5a06\n",
+      "0aeb7399-84e5-401d-b1d7-3785b8bc0b33\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee5effad-a527-4fd0-85e3-3928209d18cd - 0aeb7399-84e5-401d-b1d7-3785b8bc0b33\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 3a4b6713-b9bd-44f5-8017-49afc3aecf49 - 2c5dee85-6d5a-4eec-a9a1-b66ecda55430\n",
+      "bd456423-2c74-45ef-9a29-1046cff794ba\n",
+      "Many pubs and shops in the UK display signs reading Dogs welcome, people tolerated and have treat jars on their counters - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee5effad-a527-4fd0-85e3-3928209d18cd - bd456423-2c74-45ef-9a29-1046cff794ba\n",
+      "Many pubs and shops in the UK display signs like Dogs welcome, people tolerated and have treat jars for dogs - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 35d5b544-263f-4481-bd5f-63c194977bf7 - 96595ca2-dcb5-46a0-beb8-0f5cf81899b8\n",
+      "0aeb7399-84e5-401d-b1d7-3785b8bc0b33\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee5effad-a527-4fd0-85e3-3928209d18cd - 0aeb7399-84e5-401d-b1d7-3785b8bc0b33\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about 9 million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 35d5b544-263f-4481-bd5f-63c194977bf7 - 0fc96132-962d-4ea2-b21d-a56a43962a43\n",
+      "e6b72da1-71bb-4d82-972a-df07e0d96608\n",
+      "Dogs are not just permitted on public transport in the UK but often openly encouraged - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee5effad-a527-4fd0-85e3-3928209d18cd - e6b72da1-71bb-4d82-972a-df07e0d96608\n",
+      "In the UK, unlike Australia or New Zealand, dogs are not just permitted on public transport but often openly encouraged. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 8bf7b6e0-247d-4284-a24e-c5d345bdefd7\n",
+      "0aeb7399-84e5-401d-b1d7-3785b8bc0b33\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee5effad-a527-4fd0-85e3-3928209d18cd - 0aeb7399-84e5-401d-b1d7-3785b8bc0b33\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 5fd553e7-108b-4a19-a003-8e8fc6561c79\n",
+      "2c5dee85-6d5a-4eec-a9a1-b66ecda55430\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 3a4b6713-b9bd-44f5-8017-49afc3aecf49 - 2c5dee85-6d5a-4eec-a9a1-b66ecda55430\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about 9 million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 35d5b544-263f-4481-bd5f-63c194977bf7 - 0fc96132-962d-4ea2-b21d-a56a43962a43\n",
+      "fda119e0-88b0-42d7-866e-46964b1b72c7\n",
+      "A dog is for life, not just for Christmas, slogan by Dogs Trust charity coined in 1978 - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 3a4b6713-b9bd-44f5-8017-49afc3aecf49 - fda119e0-88b0-42d7-866e-46964b1b72c7\n",
+      "Dogs Trust charity coined the slogan A dog is for life, not just for Christmas in 1978 - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 35d5b544-263f-4481-bd5f-63c194977bf7 - e77fcc9b-4743-4569-a8c3-ed3e550afaa2\n",
+      "2c5dee85-6d5a-4eec-a9a1-b66ecda55430\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 3a4b6713-b9bd-44f5-8017-49afc3aecf49 - 2c5dee85-6d5a-4eec-a9a1-b66ecda55430\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 5fd553e7-108b-4a19-a003-8e8fc6561c79\n",
+      "fda119e0-88b0-42d7-866e-46964b1b72c7\n",
+      "A dog is for life, not just for Christmas, slogan by Dogs Trust charity coined in 1978 - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 3a4b6713-b9bd-44f5-8017-49afc3aecf49 - fda119e0-88b0-42d7-866e-46964b1b72c7\n",
+      "The Dogs Trust charity coined its famous slogan \"A dog is for life, not just for Christmas\" back in 1978. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 49850164-7b1e-48e5-b316-fc1e532b5a06\n",
+      "fda119e0-88b0-42d7-866e-46964b1b72c7\n",
+      "A dog is for life, not just for Christmas, slogan by Dogs Trust charity coined in 1978 - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 3a4b6713-b9bd-44f5-8017-49afc3aecf49 - fda119e0-88b0-42d7-866e-46964b1b72c7\n",
+      "Dogs Trust slogan coined in 1978: A dog is for life, not just for Christmas - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - e1728322-74d9-4b31-b909-82d864252d88 - a9de1054-4cf7-479c-9c5e-40e6c60316ed\n",
+      "2c5dee85-6d5a-4eec-a9a1-b66ecda55430\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 3a4b6713-b9bd-44f5-8017-49afc3aecf49 - 2c5dee85-6d5a-4eec-a9a1-b66ecda55430\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee5effad-a527-4fd0-85e3-3928209d18cd - 0aeb7399-84e5-401d-b1d7-3785b8bc0b33\n",
+      "886d5956-c81a-4c4c-a11d-671954d4c39c\n",
+      "The number of pet dogs in the UK increased from about 9 million to 13 million between 2019 and 2022, indicating a pet ownership boom during the pandemic. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - cac55ec8-d110-4405-8add-4d29be627951 - 886d5956-c81a-4c4c-a11d-671954d4c39c\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 5fd553e7-108b-4a19-a003-8e8fc6561c79\n",
+      "5fd553e7-108b-4a19-a003-8e8fc6561c79\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 5fd553e7-108b-4a19-a003-8e8fc6561c79\n",
+      "The number of pet dogs in the UK increased from about 9 million to 13 million between 2019 and 2022, indicating a pet ownership boom during the pandemic. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - cac55ec8-d110-4405-8add-4d29be627951 - 886d5956-c81a-4c4c-a11d-671954d4c39c\n",
+      "5fd553e7-108b-4a19-a003-8e8fc6561c79\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 5fd553e7-108b-4a19-a003-8e8fc6561c79\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 3a4b6713-b9bd-44f5-8017-49afc3aecf49 - 2c5dee85-6d5a-4eec-a9a1-b66ecda55430\n",
+      "49850164-7b1e-48e5-b316-fc1e532b5a06\n",
+      "The Dogs Trust charity coined its famous slogan \"A dog is for life, not just for Christmas\" back in 1978. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 49850164-7b1e-48e5-b316-fc1e532b5a06\n",
+      "A dog is for life, not just for Christmas, slogan by Dogs Trust charity coined in 1978 - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 3a4b6713-b9bd-44f5-8017-49afc3aecf49 - fda119e0-88b0-42d7-866e-46964b1b72c7\n",
+      "4f8b499c-4b74-4657-9b59-ee12c932c35a\n",
+      "Britons have always been a bit silly about animals, considering keeping pets as an entire way of life. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 4f8b499c-4b74-4657-9b59-ee12c932c35a\n",
+      "Britons have always been a bit silly about animals, keeping pets is an essential way of life - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 35d5b544-263f-4481-bd5f-63c194977bf7 - ac50b623-3467-4140-8178-fcc07fd8d767\n",
+      "8bf7b6e0-247d-4284-a24e-c5d345bdefd7\n",
+      "In the UK, unlike Australia or New Zealand, dogs are not just permitted on public transport but often openly encouraged. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 8bf7b6e0-247d-4284-a24e-c5d345bdefd7\n",
+      "In the UK, unlike Australia or New Zealand, dogs are openly encouraged on public transport - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 35d5b544-263f-4481-bd5f-63c194977bf7 - c35a2c40-282a-4fa7-9ad8-33539ba32a7a\n",
+      "5fd553e7-108b-4a19-a003-8e8fc6561c79\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 5fd553e7-108b-4a19-a003-8e8fc6561c79\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about 9 million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 35d5b544-263f-4481-bd5f-63c194977bf7 - 0fc96132-962d-4ea2-b21d-a56a43962a43\n",
+      "49850164-7b1e-48e5-b316-fc1e532b5a06\n",
+      "The Dogs Trust charity coined its famous slogan \"A dog is for life, not just for Christmas\" back in 1978. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 49850164-7b1e-48e5-b316-fc1e532b5a06\n",
+      "Dogs Trust charity coined the slogan A dog is for life, not just for Christmas in 1978 - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - 35d5b544-263f-4481-bd5f-63c194977bf7 - e77fcc9b-4743-4569-a8c3-ed3e550afaa2\n",
+      "49850164-7b1e-48e5-b316-fc1e532b5a06\n",
+      "The Dogs Trust charity coined its famous slogan \"A dog is for life, not just for Christmas\" back in 1978. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 49850164-7b1e-48e5-b316-fc1e532b5a06\n",
+      "Dogs Trust slogan coined in 1978: A dog is for life, not just for Christmas - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - e1728322-74d9-4b31-b909-82d864252d88 - a9de1054-4cf7-479c-9c5e-40e6c60316ed\n",
+      "8bf7b6e0-247d-4284-a24e-c5d345bdefd7\n",
+      "In the UK, unlike Australia or New Zealand, dogs are not just permitted on public transport but often openly encouraged. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 8bf7b6e0-247d-4284-a24e-c5d345bdefd7\n",
+      "Dogs are not just permitted on public transport in the UK but often openly encouraged - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee5effad-a527-4fd0-85e3-3928209d18cd - e6b72da1-71bb-4d82-972a-df07e0d96608\n",
+      "5fd553e7-108b-4a19-a003-8e8fc6561c79\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million due to the pandemic. - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee770796-286a-469d-96b2-d095bc9ecf54 - 5fd553e7-108b-4a19-a003-8e8fc6561c79\n",
+      "Between 2019 and 2022, the number of pet dogs in the UK rose from about nine million to 13 million - abab18eb-8eb8-4299-9a6a-96101c7dc87f  - ee5effad-a527-4fd0-85e3-3928209d18cd - 0aeb7399-84e5-401d-b1d7-3785b8bc0b33\n"
      ]
     }
    ],
    "source": [
-    "CONNECTED_GRAPH = connect_nodes_in_graph(R, relationship_d)"
+    "CONNECTED_GRAPH = connect_nodes_in_graph(T, relationship_d)"
    ]
   },
   {
@@ -3572,7 +3256,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 317,
+   "execution_count": 119,
    "id": "fce71784-66c3-4e96-8dbe-01b52478312d",
    "metadata": {},
    "outputs": [
@@ -3580,7 +3264,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The graph has 142 edges.\n"
+      "The graph has 108 edges.\n"
      ]
     }
    ],
@@ -3670,7 +3354,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 433,
+   "execution_count": 120,
    "id": "488dfddc-3774-4f8c-9478-117b94fc70f9",
    "metadata": {},
    "outputs": [
@@ -3678,7 +3362,7 @@
      "data": {
       "text/html": [
        "\n",
-       "            <iframe id=\"2d690ffe-ece8-42b7-bc46-6d83be2ea182\" src=\"https://hub.graphistry.com/graph/graph.html?dataset=f14855a5888d4611b05a160d4ca444b4&type=arrow&viztoken=dc57ebed-4930-4a3e-ab45-9cdb5db57f4a&usertag=1daaf574-pygraphistry-0.33.0&splashAfter=1709657655&info=true\"\n",
+       "            <iframe id=\"7223ca74-378d-4fe2-a293-f199639c8df3\" src=\"https://hub.graphistry.com/graph/graph.html?dataset=324cfb28db144df582c8a38464a5d0d5&type=arrow&viztoken=68d77c7b-80f0-4ebe-9264-66de0b39fa10&usertag=1daaf574-pygraphistry-0.33.0&splashAfter=1710154317&info=true\"\n",
        "                    allowfullscreen=\"true\" webkitallowfullscreen=\"true\" mozallowfullscreen=\"true\"\n",
        "                    oallowfullscreen=\"true\" msallowfullscreen=\"true\"\n",
        "                    style=\"width:100%; height:500px; border: 1px solid #DDD; overflow: hidden\"\n",
@@ -3688,7 +3372,7 @@
        "        \n",
        "            <script>\n",
        "                try {\n",
-       "                  $(\"#2d690ffe-ece8-42b7-bc46-6d83be2ea182\").bind('mousewheel', function(e) { e.preventDefault(); });\n",
+       "                  $(\"#7223ca74-378d-4fe2-a293-f199639c8df3\").bind('mousewheel', function(e) { e.preventDefault(); });\n",
        "                } catch (e) { console.error('exn catching scroll', e); }\n",
        "            </script>\n",
        "        "
@@ -3697,7 +3381,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 433,
+     "execution_count": 120,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/cognitive_architecture/api/__init__.py b/cognitive_architecture/api/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/cognitive_architecture/api/v1/__init__.py b/cognitive_architecture/api/v1/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/cognitive_architecture/api/v1/cognify/cognify.py b/cognitive_architecture/api/v1/cognify/cognify.py
index 175cf0e8b..fee11b00e 100644
--- a/cognitive_architecture/api/v1/cognify/cognify.py
+++ b/cognitive_architecture/api/v1/cognify/cognify.py
@@ -14,8 +14,13 @@ from dotenv import load_dotenv
 import os
 
 from cognitive_architecture.infrastructure.databases.vector.qdrant.adapter import CollectionConfig
+from cognitive_architecture.infrastructure.llm.get_llm_client import get_llm_client
 from cognitive_architecture.modules.cognify.graph.add_classification_nodes import add_classification_nodes
+from cognitive_architecture.modules.cognify.graph.add_node_connections import add_node_connection, graph_ready_output, \
+    connect_nodes_in_graph
 from cognitive_architecture.modules.cognify.graph.add_propositions import append_to_graph
+from cognitive_architecture.modules.cognify.llm.add_node_connection_embeddings import process_items
+from cognitive_architecture.modules.cognify.vector.batch_search import adapted_qdrant_batch_search
 from cognitive_architecture.modules.cognify.vector.load_propositions import add_propositions
 
 # Load environment variables from .env file
@@ -146,7 +151,7 @@ async def cognify(input_text:str):
 
     await add_classification_nodes(graph_client, 'Document:doc1', transformed_dict_1)
 
-    await append_to_graph(layer_1_graph, required_layers_one, graph_client)
+    F, unique_layer_uuids = await append_to_graph(layer_1_graph, required_layers_one, graph_client)
 
     def extract_node_descriptions(data):
         descriptions = []
@@ -158,10 +163,10 @@ async def cognify(input_text:str):
         return descriptions
 
     # Extract the node descriptions
-    graph = await graph_client.graph()
+    graph = graph_client.graph
     node_descriptions = extract_node_descriptions(graph.nodes(data=True))
-    unique_layer_uuids = set(node['layer_decomposition_uuid'] for node in node_descriptions)
-
+    # unique_layer_uuids = set(node['layer_decomposition_uuid'] for node in node_descriptions)
+    #
     db = get_vector_database()
 
 
@@ -178,10 +183,43 @@ async def cognify(input_text:str):
     for layer in unique_layer_uuids:
         await db.create_collection(layer,collection_config)
 
-    #to check if it works
-
+    # #to check if it works
+    #
     await add_propositions(node_descriptions, db)
 
+    from cognitive_architecture.infrastructure.databases.vector.qdrant.adapter import AsyncQdrantClient
+
+    grouped_data = await add_node_connection(graph_client, db, node_descriptions)
+
+    llm_client = get_llm_client()
+
+    relationship_dict = await process_items(grouped_data, unique_layer_uuids, llm_client)
+
+    results = await adapted_qdrant_batch_search(relationship_dict, db)
+    relationship_d = graph_ready_output(results)
+
+    CONNECTED_GRAPH = connect_nodes_in_graph(F, relationship_d)
+    return CONNECTED_GRAPH
+
+    #
+    # grouped_data = {}
+    #
+    # # Iterate through each dictionary in the list
+    # for item in node_descriptions:
+    #     # Get the layer_decomposition_uuid of the current dictionary
+    #     uuid = item['layer_decomposition_uuid']
+    #
+    #     # Check if this uuid is already a key in the grouped_data dictionary
+    #     if uuid not in grouped_data:
+    #         # If not, initialize a new list for this uuid
+    #         grouped_data[uuid] = []
+    #
+    #     # Append the current dictionary to the list corresponding to its uuid
+    #     grouped_data[uuid].append(item)
+
+
+
+
 
 
 
diff --git a/cognitive_architecture/infrastructure/databases/vector/qdrant/adapter.py b/cognitive_architecture/infrastructure/databases/vector/qdrant/adapter.py
index fb66aa699..152a8891f 100644
--- a/cognitive_architecture/infrastructure/databases/vector/qdrant/adapter.py
+++ b/cognitive_architecture/infrastructure/databases/vector/qdrant/adapter.py
@@ -52,7 +52,7 @@ class QDrantAdapter(VectorDBInterface):
             quantization_config = collection_config.quantization_config
         )
 
-    async def create_data_points(self, collection_name: str, data_points: List[any]):
+    async def create_data_points(self, collection_name: str, data_points):
         client = self.get_qdrant_client()
 
         return await client.upload_points(
@@ -96,11 +96,11 @@ class QDrantAdapter(VectorDBInterface):
                 # vector= embedding,
                 limit=3,
                 with_vector=False
-            ) for embedding in embeddings
+            ) for embedding in [embeddings]
         ]
 
         # Perform batch search with the dynamically generated requests
-        results = client.search_batch(
+        results = await client.search_batch(
             collection_name=collection_name,
             requests=requests
         )
diff --git a/cognitive_architecture/infrastructure/databases/vector/vector_db_interface.py b/cognitive_architecture/infrastructure/databases/vector/vector_db_interface.py
index 62d945f86..5f4ad9031 100644
--- a/cognitive_architecture/infrastructure/databases/vector/vector_db_interface.py
+++ b/cognitive_architecture/infrastructure/databases/vector/vector_db_interface.py
@@ -43,7 +43,7 @@ class VectorDBInterface(Protocol):
     async def create_data_points(
         self,
         collection_name: str,
-        data_points: List[any]
+        data_points
     ): raise NotImplementedError
 
     # @abstractmethod
diff --git a/cognitive_architecture/infrastructure/databases/vector/weviate/adapter.py b/cognitive_architecture/infrastructure/databases/vector/weaviate/adapter.py
similarity index 100%
rename from cognitive_architecture/infrastructure/databases/vector/weviate/adapter.py
rename to cognitive_architecture/infrastructure/databases/vector/weaviate/adapter.py
diff --git a/cognitive_architecture/modules/cognify/graph/add_node_connections.py b/cognitive_architecture/modules/cognify/graph/add_node_connections.py
new file mode 100644
index 000000000..0fb2b4e3a
--- /dev/null
+++ b/cognitive_architecture/modules/cognify/graph/add_node_connections.py
@@ -0,0 +1,113 @@
+from cognitive_architecture.infrastructure.databases.graph.get_graph_client import get_graph_client
+from cognitive_architecture.shared.data_models import GraphDBType
+
+
+def extract_node_descriptions(data):
+    descriptions = []
+    for node_id, attributes in data:
+        if 'description' in attributes and 'id' in attributes:
+            descriptions.append({'node_id': attributes['id'], 'description': attributes['description'], 'layer_uuid': attributes['layer_uuid'], 'layer_decomposition_uuid': attributes['layer_decomposition_uuid'] })
+    return descriptions
+
+
+
+
+def add_node_connection(graph_client, vector_database_client, data):
+
+    graph = graph_client.graph
+    node_descriptions = extract_node_descriptions(graph.nodes(data=True))
+
+
+    grouped_data = {}
+
+    # Iterate through each dictionary in the list
+    for item in node_descriptions:
+        # Get the layer_decomposition_uuid of the current dictionary
+        uuid = item['layer_decomposition_uuid']
+
+        # Check if this uuid is already a key in the grouped_data dictionary
+        if uuid not in grouped_data:
+            # If not, initialize a new list for this uuid
+            grouped_data[uuid] = []
+
+        # Append the current dictionary to the list corresponding to its uuid
+        grouped_data[uuid].append(item)
+
+    return grouped_data
+
+
+def connect_nodes_in_graph(graph, relationship_dict):
+    """
+    For each relationship in relationship_dict, check if both nodes exist in the graph based on node attributes.
+    If they do, create a connection (edge) between them.
+
+    :param graph: A NetworkX graph object
+    :param relationship_dict: A dictionary containing relationships between nodes
+    """
+    for id, relationships in relationship_dict.items():
+        for relationship in relationships:
+            searched_node_attr_id = relationship['searched_node_id']
+            print(searched_node_attr_id)
+            score_attr_id = relationship['original_id_for_search']
+            score = relationship['score']
+
+            # Initialize node keys for both searched_node and score_node
+            searched_node_key, score_node_key = None, None
+
+            # Find nodes in the graph that match the searched_node_id and score_id from their attributes
+            for node, attrs in graph.nodes(data=True):
+                if 'id' in attrs:  # Ensure there is an 'id' attribute
+                    if attrs['id'] == searched_node_attr_id:
+                        searched_node_key = node
+                    elif attrs['id'] == score_attr_id:
+                        score_node_key = node
+
+                # If both nodes are found, no need to continue checking other nodes
+                if searched_node_key and score_node_key:
+                    break
+
+            # Check if both nodes were found in the graph
+            if searched_node_key is not None and score_node_key is not None:
+                print(searched_node_key)
+                print(score_node_key)
+                # If both nodes exist, create an edge between them
+                # You can customize the edge attributes as needed, here we use 'score' as an attribute
+                graph.add_edge(searched_node_key, score_node_key, weight=score,
+                               score_metadata=relationship.get('score_metadata'))
+
+    return graph
+def graph_ready_output(results):
+    relationship_dict = {}
+
+    for result_tuple in results:
+
+        uuid, scored_points_list, desc, node_id = result_tuple
+        # Unpack the tuple
+
+        # Ensure there's a list to collect related items for this uuid
+        if uuid not in relationship_dict:
+            relationship_dict[uuid] = []
+
+        for scored_points in scored_points_list:  # Iterate over the list of ScoredPoint lists
+            for scored_point in scored_points:  # Iterate over each ScoredPoint object
+                if scored_point.score > 0.9:  # Check the score condition
+                    # Append a new dictionary to the list associated with the uuid
+                    relationship_dict[uuid].append({
+                        'collection_name_uuid': uuid,
+                        'searched_node_id': scored_point.id,
+                        'score': scored_point.score,
+                        'score_metadata': scored_point.payload,
+                        'original_id_for_search': node_id,
+                    })
+    return relationship_dict
+
+
+
+
+if __name__ == '__main__':
+    graph_client = get_graph_client(GraphDBType.NETWORKX)
+    add_node_connection(graph_client, None, None)
+
+
+
+    # db = get_vector_database()
\ No newline at end of file
diff --git a/cognitive_architecture/modules/cognify/graph/add_propositions.py b/cognitive_architecture/modules/cognify/graph/add_propositions.py
index a9974f166..9ea1e936c 100644
--- a/cognitive_architecture/modules/cognify/graph/add_propositions.py
+++ b/cognitive_architecture/modules/cognify/graph/add_propositions.py
@@ -68,7 +68,7 @@ async def add_propositions(G, category_name, subclass_content, layer_description
 async def append_to_graph(layer_graphs, required_layers, G):
     # Generate a UUID for the overall layer
     layer_uuid = uuid.uuid4()
-
+    decomposition_uuids = set()
     # Extract category name from required_layers data
     category_name = required_layers.dict()['label']['type']
 
@@ -84,7 +84,7 @@ async def append_to_graph(layer_graphs, required_layers, G):
 
             # Generate a UUID for this particular layer decomposition
             layer_decomposition_uuid = uuid.uuid4()
-
+            decomposition_uuids.add(layer_decomposition_uuid)
             # Assuming append_data_to_graph is defined elsewhere and appends data to G
             # You would pass relevant information from knowledge_graph along with other details to this function
             F = await add_propositions(G, category_name, subgroup_name, layer_description, knowledge_graph,
@@ -93,7 +93,7 @@ async def append_to_graph(layer_graphs, required_layers, G):
             # Print updated graph for verification (assuming F is the updated NetworkX Graph)
             print("Updated Nodes:", F.graph.nodes(data=True))
 
-    return F
+    return F, decomposition_uuids
 
 
 if __name__ == "__main__":
diff --git a/cognitive_architecture/modules/cognify/llm/add_node_connection_embeddings.py b/cognitive_architecture/modules/cognify/llm/add_node_connection_embeddings.py
new file mode 100644
index 000000000..ec86d7e71
--- /dev/null
+++ b/cognitive_architecture/modules/cognify/llm/add_node_connection_embeddings.py
@@ -0,0 +1,38 @@
+import asyncio
+
+
+async def process_items(grouped_data, unique_layer_uuids, llm_client):
+    results_to_check = []  # This will hold results excluding self comparisons
+    tasks = []  # List to hold all tasks
+    task_to_info = {}  # Dictionary to map tasks to their corresponding group id and item info
+
+    # Iterate through each group in grouped_data
+    for group_id, items in grouped_data.items():
+        # Filter unique_layer_uuids to exclude the current group_id
+        target_uuids = [uuid for uuid in unique_layer_uuids if uuid != group_id]
+
+        # Process each item in the group
+        for item in items:
+            # For each target UUID, create an async task for the item's embedding retrieval
+            for target_id in target_uuids:
+                task = asyncio.create_task(
+                    llm_client.async_get_embedding_with_backoff(item['description'], "text-embedding-3-large"))
+                tasks.append(task)
+                # Map the task to the target id, item's node_id, and description for later retrieval
+                task_to_info[task] = (target_id, item['node_id'], group_id, item['description'])
+
+    # Await all tasks to complete and gather results
+    results = await asyncio.gather(*tasks)
+
+    # Process the results, associating them with their target id, node id, and description
+    for task, embedding in zip(tasks, results):
+        target_id, node_id, group_id, description = task_to_info[task]
+        results_to_check.append([target_id, embedding, description, node_id, group_id])
+
+    return results_to_check
+
+
+if __name__ == '__main__':
+
+    process_items()
+
diff --git a/cognitive_architecture/modules/cognify/vector/batch_search.py b/cognitive_architecture/modules/cognify/vector/batch_search.py
index 6af0204e5..752a18254 100644
--- a/cognitive_architecture/modules/cognify/vector/batch_search.py
+++ b/cognitive_architecture/modules/cognify/vector/batch_search.py
@@ -1,7 +1,7 @@
 
 from cognitive_architecture.infrastructure.databases.vector.get_vector_database import get_vector_database
 
-async def adapted_qdrant_batch_search(results_to_check, client):
+async def adapted_qdrant_batch_search(results_to_check,vector_client):
     search_results_list = []
 
     for result in results_to_check:
@@ -15,9 +15,10 @@ async def adapted_qdrant_batch_search(results_to_check, client):
         limits = [3] * len(embedding)  # Set a limit of 3 results for this embedding
 
         try:
-            # Perform the batch search for this id with its embedding
-            # Assuming qdrant_batch_search function accepts a single embedding and a list of limits
-            id_search_results = await client.batch_search(id, [embedding], limits)
+            #Perform the batch search for this id with its embedding
+            #Assuming qdrant_batch_search function accepts a single embedding and a list of limits
+            #qdrant_batch_search
+            id_search_results = await vector_client.batch_search(collection_name = id, embeddings= embedding, with_vectors=limits)
             search_results_list.append((id, id_search_results, node_id, target))
         except Exception as e:
             print(f"Error during batch search for ID {id}: {e}")
@@ -26,4 +27,6 @@ async def adapted_qdrant_batch_search(results_to_check, client):
     return search_results_list
 
 
-client = get_vector_database()
\ No newline at end of file
+if __name__ == '__main__':
+
+    client = get_vector_database()
\ No newline at end of file
diff --git a/cognitive_architecture/modules/cognify/vector/load_propositions.py b/cognitive_architecture/modules/cognify/vector/load_propositions.py
index 7977e41d2..79b53d01d 100644
--- a/cognitive_architecture/modules/cognify/vector/load_propositions.py
+++ b/cognitive_architecture/modules/cognify/vector/load_propositions.py
@@ -28,6 +28,7 @@ async def upload_embedding(id, metadata, some_embeddings, collection_name, clien
 async def add_propositions(node_descriptions, client):
     for item in node_descriptions:
         print(item['node_id'])
-        await upload_embedding(id = item['node_id'], metadata = {"meta":item['description']}, some_embeddings = get_embeddings(item['description']), collection_name= item['layer_decomposition_uuid'],client= client)
+        embeddings = await get_embeddings(item['description'])
+        await upload_embedding(id = item['node_id'], metadata = {"meta":item['description']}, some_embeddings = embeddings[0], collection_name= item['layer_decomposition_uuid'],client= client)