{ "cells": [ { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [], "source": [ "import sys\n", "sys.path.append('../')\n", "\n", "from dotenv import load_dotenv, find_dotenv\n", "load_dotenv(find_dotenv('env'), override=True)\n", "\n", "from engine.weaviate_interface_v4 import WeaviateIndexer, WeaviateWCS, get_weaviate_client\n", "\n", "#standards\n", "import os\n", "import time\n", "import json\n", "from typing import List\n", "from tqdm import tqdm\n", "from rich import print # nice library that provides improved printing output (overrides default print function)\n", "from rich.pretty import pprint\n", "import pandas as pd\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "datadir = \"../../data\"\n", "pfile = os.path.join(datadir, 'text_vectors.parquet')" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Volumes/DATA/Dropbox/IMAC_BACKUP/WORK/PROJECTS/LIQUIDITY/venv/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n", " warnings.warn(\n" ] }, { "data": { "text/html": [ "
Client is ready True\n",
       "
\n" ], "text/plain": [ "Client is ready \u001b[3;92mTrue\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#read env vars from local .env file\n", "api_key = os.environ['FINRAG_WEAVIATE_API_KEY']\n", "url = os.environ['FINRAG_WEAVIATE_ENDPOINT']\n", "model_path = 'sentence-transformers/all-mpnet-base-v2'\n", "# careful this one is 768 bits long, all_Mini-L6-v2 is 384 bits\n", "#instantiate client, \n", "try:\n", " client = WeaviateWCS(endpoint=url, api_key=api_key, model_name_or_path=model_path)\n", " client._client.is_live()\n", " print(f\"Client is ready {client._client.is_ready()}\")\n", "except Exception as e:\n", " print(e)\n", " \n", "# Alternatively we can simply use the get_weaviate_client \n", "# convenice function, which assumes a default config\n", "# client = get_weaviate_client()" ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "False" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "client._client.is_live()" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [], "source": [ "client._connect()" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "from weaviate.classes.config import Property, DataType\n", "\n", "finrag_properties = [ \n", " Property(name='filename',\n", " data_type=DataType.TEXT,\n", " description='Name of the file',\n", " index_filterable=True,\n", " index_searchable=True),\n", " # Property(name='keywords',\n", " # data_type=DataType.TEXT_ARRAY,\n", " # description='Keywords associated with the file',\n", " # index_filterable=True,\n", " # index_searchable=True),\n", " # Property(name='summary',\n", " # data_type=DataType.TEXT,\n", " # description='Short summary of the article',\n", " # index_filterable=True,\n", " # index_searchable=True),\n", " Property(name='content',\n", " data_type=DataType.TEXT,\n", " description='Splits of the article',\n", " index_filterable=True,\n", " index_searchable=True),\n", " ]" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
{\n",
       "    'classes': [\n",
       "        {\n",
       "            'class': 'FinRag_mpnet-base-v2',\n",
       "            'description': 'Financial reports',\n",
       "            'vectorIndexType': 'hnsw',\n",
       "            'vectorIndexConfig': {'ef': 64, 'efConstruction': 128, 'maxConnections': 32},\n",
       "            'vectorizer': 'none',\n",
       "            'properties': [\n",
       "                Property(\n",
       "                    name='filename',\n",
       "                    dataType=<DataType.TEXT: 'text'>,\n",
       "                    description='Name of the file',\n",
       "                    indexFilterable=True,\n",
       "                    indexSearchable=True,\n",
       "                    nestedProperties=None,\n",
       "                    skip_vectorization=False,\n",
       "                    tokenization=None,\n",
       "                    vectorize_property_name=True\n",
       "                ),\n",
       "                Property(\n",
       "                    name='content',\n",
       "                    dataType=<DataType.TEXT: 'text'>,\n",
       "                    description='Splits of the article',\n",
       "                    indexFilterable=True,\n",
       "                    indexSearchable=True,\n",
       "                    nestedProperties=None,\n",
       "                    skip_vectorization=False,\n",
       "                    tokenization=None,\n",
       "                    vectorize_property_name=True\n",
       "                )\n",
       "            ]\n",
       "        }\n",
       "    ]\n",
       "}\n",
       "
\n" ], "text/plain": [ "\u001b[1m{\u001b[0m\n", " \u001b[32m'classes'\u001b[0m: \u001b[1m[\u001b[0m\n", " \u001b[1m{\u001b[0m\n", " \u001b[32m'class'\u001b[0m: \u001b[32m'FinRag_mpnet-base-v2'\u001b[0m,\n", " \u001b[32m'description'\u001b[0m: \u001b[32m'Financial reports'\u001b[0m,\n", " \u001b[32m'vectorIndexType'\u001b[0m: \u001b[32m'hnsw'\u001b[0m,\n", " \u001b[32m'vectorIndexConfig'\u001b[0m: \u001b[1m{\u001b[0m\u001b[32m'ef'\u001b[0m: \u001b[1;36m64\u001b[0m, \u001b[32m'efConstruction'\u001b[0m: \u001b[1;36m128\u001b[0m, \u001b[32m'maxConnections'\u001b[0m: \u001b[1;36m32\u001b[0m\u001b[1m}\u001b[0m,\n", " \u001b[32m'vectorizer'\u001b[0m: \u001b[32m'none'\u001b[0m,\n", " \u001b[32m'properties'\u001b[0m: \u001b[1m[\u001b[0m\n", " \u001b[1;35mProperty\u001b[0m\u001b[1m(\u001b[0m\n", " \u001b[33mname\u001b[0m=\u001b[32m'filename'\u001b[0m,\n", " \u001b[33mdataType\u001b[0m=\u001b[1m<\u001b[0m\u001b[1;95mDataType.TEXT:\u001b[0m\u001b[39m \u001b[0m\u001b[32m'text'\u001b[0m\u001b[39m>,\u001b[0m\n", "\u001b[39m \u001b[0m\u001b[33mdescription\u001b[0m\u001b[39m=\u001b[0m\u001b[32m'Name of the file'\u001b[0m\u001b[39m,\u001b[0m\n", "\u001b[39m \u001b[0m\u001b[33mindexFilterable\u001b[0m\u001b[39m=\u001b[0m\u001b[3;92mTrue\u001b[0m\u001b[39m,\u001b[0m\n", "\u001b[39m \u001b[0m\u001b[33mindexSearchable\u001b[0m\u001b[39m=\u001b[0m\u001b[3;92mTrue\u001b[0m\u001b[39m,\u001b[0m\n", "\u001b[39m \u001b[0m\u001b[33mnestedProperties\u001b[0m\u001b[39m=\u001b[0m\u001b[3;35mNone\u001b[0m\u001b[39m,\u001b[0m\n", "\u001b[39m \u001b[0m\u001b[33mskip_vectorization\u001b[0m\u001b[39m=\u001b[0m\u001b[3;91mFalse\u001b[0m\u001b[39m,\u001b[0m\n", "\u001b[39m \u001b[0m\u001b[33mtokenization\u001b[0m\u001b[39m=\u001b[0m\u001b[3;35mNone\u001b[0m\u001b[39m,\u001b[0m\n", "\u001b[39m \u001b[0m\u001b[33mvectorize_property_name\u001b[0m\u001b[39m=\u001b[0m\u001b[3;92mTrue\u001b[0m\n", "\u001b[39m \u001b[0m\u001b[1;39m)\u001b[0m\u001b[39m,\u001b[0m\n", "\u001b[39m \u001b[0m\u001b[1;35mProperty\u001b[0m\u001b[1;39m(\u001b[0m\n", "\u001b[39m \u001b[0m\u001b[33mname\u001b[0m\u001b[39m=\u001b[0m\u001b[32m'content'\u001b[0m\u001b[39m,\u001b[0m\n", "\u001b[39m \u001b[0m\u001b[33mdataType\u001b[0m\u001b[39m=\u001b[0m,\n", " \u001b[33mdescription\u001b[0m=\u001b[32m'Splits of the article'\u001b[0m,\n", " \u001b[33mindexFilterable\u001b[0m=\u001b[3;92mTrue\u001b[0m,\n", " \u001b[33mindexSearchable\u001b[0m=\u001b[3;92mTrue\u001b[0m,\n", " \u001b[33mnestedProperties\u001b[0m=\u001b[3;35mNone\u001b[0m,\n", " \u001b[33mskip_vectorization\u001b[0m=\u001b[3;91mFalse\u001b[0m,\n", " \u001b[33mtokenization\u001b[0m=\u001b[3;35mNone\u001b[0m,\n", " \u001b[33mvectorize_property_name\u001b[0m=\u001b[3;92mTrue\u001b[0m\n", " \u001b[1m)\u001b[0m\n", " \u001b[1m]\u001b[0m\n", " \u001b[1m}\u001b[0m\n", " \u001b[1m]\u001b[0m\n", "\u001b[1m}\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "class_name = \"FinRag_mpnet-base-v2\"\n", "\n", "class_config = {'classes': [\n", "\n", " {\"class\": class_name, \n", " \n", " \"description\": \"Financial reports\", \n", " \n", " \"vectorIndexType\": \"hnsw\", \n", " \n", " # Vector index specific settings\n", " \"vectorIndexConfig\": { \n", " \n", " \"ef\": 64,\n", " \"efConstruction\": 128, \n", " \"maxConnections\": 32, \n", " },\n", " \n", " \"vectorizer\": \"none\", \n", " \n", " # pre-defined property mappings\n", " \"properties\": finrag_properties } \n", " ]\n", " }\n", "print(class_config)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Collection \"finrag\" created\n" ] } ], "source": [ "collection_name='finrag'\n", "client.create_collection(collection_name=collection_name, \n", " properties=finrag_properties, \n", " description='Financial reports')" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Collection \"finrag\" deleted\n" ] } ], "source": [ "client.delete_collection(collection_name='finrag')" ] }, { "cell_type": "code", "execution_count": 76, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['Finrag']" ] }, "execution_count": 76, "metadata": {}, "output_type": "execute_result" } ], "source": [ "client.show_all_collections()" ] }, { "cell_type": "code", "execution_count": 77, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "_CollectionConfig(name='Finrag', description='Financial reports', generative_config=None, inverted_index_config=_InvertedIndexConfig(bm25=_BM25Config(b=0.75, k1=1.2), cleanup_interval_seconds=60, index_null_state=False, index_property_length=False, index_timestamps=False, stopwords=_StopwordsConfig(preset=, additions=None, removals=None)), multi_tenancy_config=_MultiTenancyConfig(enabled=False), properties=[_Property(name='filename', description='Name of the file', data_type=, index_filterable=True, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=None, vectorizer='none'), _Property(name='content', description='Splits of the article', data_type=, index_filterable=True, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=None, vectorizer='none')], references=[], replication_config=_ReplicationConfig(factor=1), reranker_config=None, sharding_config=_ShardingConfig(virtual_per_physical=128, desired_count=1, actual_count=1, desired_virtual_count=128, actual_virtual_count=128, key='_id', strategy='hash', function='murmur3'), vector_index_config=_VectorIndexConfigHNSW(quantizer=None, cleanup_interval_seconds=300, distance_metric=, dynamic_ef_min=100, dynamic_ef_max=500, dynamic_ef_factor=8, ef=-1, ef_construction=128, flat_search_cutoff=40000, max_connections=64, skip=False, vector_cache_max_objects=1000000000000), vector_index_type=, vectorizer_config=None, vectorizer=, vector_config=None)" ] }, "execution_count": 77, "metadata": {}, "output_type": "execute_result" } ], "source": [ "client.show_collection_config('Finrag')" ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[_Property(name='filename', description='Name of the file', data_type=, index_filterable=True, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=None, vectorizer='none'),\n", " _Property(name='content', description='Splits of the article', data_type=, index_filterable=True, index_searchable=True, nested_properties=None, tokenization=, vectorizer_config=None, vectorizer='none')]" ] }, "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ "client.show_collection_properties('Finrag')" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [], "source": [ "indexer = WeaviateIndexer(client)" ] }, { "cell_type": "code", "execution_count": 79, "metadata": {}, "outputs": [ { "ename": "FileNotFoundError", "evalue": "[Errno 2] No such file or directory: '../../data/text_vectors.parquet'", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[79], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_parquet\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpfile\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2\u001b[0m data\u001b[38;5;241m.\u001b[39mfile\u001b[38;5;241m.\u001b[39mvalue_counts()\n", "File \u001b[0;32m/Volumes/DATA/Dropbox/IMAC_BACKUP/WORK/PROJECTS/LIQUIDITY/venv/lib/python3.10/site-packages/pandas/io/parquet.py:667\u001b[0m, in \u001b[0;36mread_parquet\u001b[0;34m(path, engine, columns, storage_options, use_nullable_dtypes, dtype_backend, filesystem, filters, **kwargs)\u001b[0m\n\u001b[1;32m 664\u001b[0m use_nullable_dtypes \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 665\u001b[0m check_dtype_backend(dtype_backend)\n\u001b[0;32m--> 667\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mimpl\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 668\u001b[0m \u001b[43m \u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 669\u001b[0m \u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 670\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilters\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfilters\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 671\u001b[0m \u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstorage_options\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 672\u001b[0m \u001b[43m \u001b[49m\u001b[43muse_nullable_dtypes\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43muse_nullable_dtypes\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 673\u001b[0m \u001b[43m \u001b[49m\u001b[43mdtype_backend\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype_backend\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 674\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilesystem\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfilesystem\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 675\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 676\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[0;32m/Volumes/DATA/Dropbox/IMAC_BACKUP/WORK/PROJECTS/LIQUIDITY/venv/lib/python3.10/site-packages/pandas/io/parquet.py:396\u001b[0m, in \u001b[0;36mFastParquetImpl.read\u001b[0;34m(self, path, columns, filters, storage_options, filesystem, **kwargs)\u001b[0m\n\u001b[1;32m 391\u001b[0m parquet_kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfs\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m fsspec\u001b[38;5;241m.\u001b[39mopen(path, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrb\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m(storage_options \u001b[38;5;129;01mor\u001b[39;00m {}))\u001b[38;5;241m.\u001b[39mfs\n\u001b[1;32m 392\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(path, \u001b[38;5;28mstr\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39misdir(path):\n\u001b[1;32m 393\u001b[0m \u001b[38;5;66;03m# use get_handle only when we are very certain that it is not a directory\u001b[39;00m\n\u001b[1;32m 394\u001b[0m \u001b[38;5;66;03m# fsspec resources can also point to directories\u001b[39;00m\n\u001b[1;32m 395\u001b[0m \u001b[38;5;66;03m# this branch is used for example when reading from non-fsspec URLs\u001b[39;00m\n\u001b[0;32m--> 396\u001b[0m handles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 397\u001b[0m \u001b[43m \u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrb\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstorage_options\u001b[49m\n\u001b[1;32m 398\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 399\u001b[0m path \u001b[38;5;241m=\u001b[39m handles\u001b[38;5;241m.\u001b[39mhandle\n\u001b[1;32m 401\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", "File \u001b[0;32m/Volumes/DATA/Dropbox/IMAC_BACKUP/WORK/PROJECTS/LIQUIDITY/venv/lib/python3.10/site-packages/pandas/io/common.py:882\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m 873\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(\n\u001b[1;32m 874\u001b[0m handle,\n\u001b[1;32m 875\u001b[0m ioargs\u001b[38;5;241m.\u001b[39mmode,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 878\u001b[0m newline\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 879\u001b[0m )\n\u001b[1;32m 880\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 881\u001b[0m \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[0;32m--> 882\u001b[0m handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 883\u001b[0m handles\u001b[38;5;241m.\u001b[39mappend(handle)\n\u001b[1;32m 885\u001b[0m \u001b[38;5;66;03m# Convert BytesIO or file objects passed with an encoding\u001b[39;00m\n", "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '../../data/text_vectors.parquet'" ] } ], "source": [ "data = pd.read_parquet(pfile)\n", "data.file.value_counts()" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 41/41 [00:00<00:00, 853.70it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Processing finished in 0.01 minutes.\n", "Batch job completed with zero errors.\n" ] } ], "source": [ "batch_object = indexer.batch_index_data(data.to_dict('records'), collection_name, 256)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "dict" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type(batch_object)" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['num_errors', 'error_messages', 'doc_ids']" ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list(batch_object.keys())" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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filecontentcontent_embedding
0AMZN_Moodys_CreditRating_2023.pdfCORPORATES\\nCREDIT OPINION\\n23 May 2023\\nUpdat...[-0.009635023772716522, 0.01748381368815899, -...
1AMZN_Moodys_CreditRating_2023.pdfThe company is reliant\\non the operating incom...[0.0033761824015527964, 0.026259412989020348, ...
2AMZN_Moodys_CreditRating_2023.pdfExhibit 1\\nAmazon's debt has continued to rise...[-0.01308224257081747, 0.06867944449186325, -0...
3AMZN_Moodys_CreditRating_2023.pdfMOODY'S INVESTORS SERVICE CORPORATES\\nCredit s...[-0.009228247217833996, 0.023773541674017906, ...
4AMZN_Moodys_CreditRating_2023.pdfFactors that could lead to a downgrade\\nRating...[-0.027790367603302002, 0.01033176202327013, -...
\n", "
" ], "text/plain": [ " file \\\n", "0 AMZN_Moodys_CreditRating_2023.pdf \n", "1 AMZN_Moodys_CreditRating_2023.pdf \n", "2 AMZN_Moodys_CreditRating_2023.pdf \n", "3 AMZN_Moodys_CreditRating_2023.pdf \n", "4 AMZN_Moodys_CreditRating_2023.pdf \n", "\n", " content \\\n", "0 CORPORATES\\nCREDIT OPINION\\n23 May 2023\\nUpdat... \n", "1 The company is reliant\\non the operating incom... \n", "2 Exhibit 1\\nAmazon's debt has continued to rise... \n", "3 MOODY'S INVESTORS SERVICE CORPORATES\\nCredit s... \n", "4 Factors that could lead to a downgrade\\nRating... \n", "\n", " content_embedding \n", "0 [-0.009635023772716522, 0.01748381368815899, -... \n", "1 [0.0033761824015527964, 0.026259412989020348, ... \n", "2 [-0.01308224257081747, 0.06867944449186325, -0... \n", "3 [-0.009228247217833996, 0.023773541674017906, ... \n", "4 [-0.027790367603302002, 0.01033176202327013, -... " ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data.head()" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'file': 'AMZN_Moodys_CreditRating_2023.pdf',\n", " 'content': \"CORPORATES\\nCREDIT OPINION\\n23 May 2023\\nUpdate\\nRATINGS\\nAmazon.com, Inc.\\nDomicile Seattle, Washington,\\nUnited States\\nLong Term Rating A1\\nType Senior Unsecured -\\nDom Curr\\nOutlook Stable\\nPlease see the ratings section at the end of this report\\nfor more information. The ratings and outlook shown\\nreflect information as of the publication date.\\nContacts\\nChristina Boni +1.212.553.0514\\nSenior Vice President\\nchristina.boni@moodys.com\\nJack Myers +1.212.553.5116\\nAssociate Analyst\\njack.myers@moodys.com\\nMargaret Taylor +1.212.553.0424\\nAssociate Managing Director\\nmargaret.taylor@moodys.comAmazon.com, Inc.\\nUpdate to credit analysis\\nSummary\\nAmazon.com, Inc. 's (A1/Prime-1 stable) credit profile reflects its powerful global brand, which\\nis synonymous with online retail, as well as the strength and profitability of Amazon Web\\nServices (“AWS”), the market leader in the cloud computing market.\",\n", " 'content_embedding': [-0.009635023772716522,\n", " 0.01748381368815899,\n", " -0.029892709106206894,\n", " -0.02790958620607853,\n", " 0.05295311287045479,\n", " 0.0229643601924181,\n", " 0.05272718891501427,\n", " 0.03827201575040817,\n", " 0.0015326685970649123,\n", " -0.055057354271411896,\n", " -0.010120374150574207,\n", " 0.010489488020539284,\n", " 0.006716533098369837,\n", " 0.0790785625576973,\n", " -0.03690990060567856,\n", " 0.08062154054641724,\n", " 0.03252541646361351,\n", " 0.013394797220826149,\n", " -0.01376095786690712,\n", " 0.02382458932697773,\n", " -0.026014676317572594,\n", " 0.009642055258154869,\n", " 0.0032120817340910435,\n", " -0.04097476974129677,\n", " 0.021616077050566673,\n", " -0.03011165000498295,\n", " 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Although the company is making progress with improving productivity\\nand reducing costs, online operating margins remain well below historical levels. Amazon has\\ntaken actions to make its fulfillment operations more efficient as its business grows into its\\ncapacity, which doubled during the pandemic. Amazon has also built a solid ecosystem of\\nentertainment content that enhances its offering, operates a formidable third-party seller\\nbusiness and generates a solid and growing revenue stream from advertising. Nonetheless,\\nits credit metrics are currently weak for the A1 rating with RCF/Debt below 50%, as lower\\nprofitability, coupled with increased levels of investment have led to higher debt levels\\nand lower cash balances. Capital allocation will be critical to improving its credit profile as\\nAmazon navigates a weaker economic backdrop that could dampen demand for its products\\nand services as it pursues cost reductions and efficiencies to restore profitability at online\\nretail. The growing online presence of brick-and-mortar retailers, as well as the increasing\\ncompetition from larger, well capitalized companies in AWS' universe also presents future\\nchallenges.\",\n", " 'content_embedding': [0.0033761824015527964,\n", " 0.026259412989020348,\n", " -0.043212275952100754,\n", " -0.03523465618491173,\n", " 0.07934033870697021,\n", " 0.026292985305190086,\n", " -0.03625158593058586,\n", " 0.02336655929684639,\n", " -0.017039582133293152,\n", " -0.05156106874346733,\n", " -0.03049043007194996,\n", " 0.025212030857801437,\n", " 0.018583012744784355,\n", " 0.061209164559841156,\n", " -0.018742358312010765,\n", " 0.04019121453166008,\n", " 0.018170585855841637,\n", " -0.006500071380287409,\n", " 0.0023590312339365482,\n", " 0.01611901819705963,\n", " 0.01995270326733589,\n", " -0.006609463132917881,\n", " -0.03202086314558983,\n", " -0.10616609454154968,\n", " 0.0020264312624931335,\n", " -0.03621558099985123,\n", " 0.038180433213710785,\n", " 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Operating Income (USD Millions)Moody's adjusted operating income Moody's adjusted debt\\nDebt includes lease\\nSource: Moody’s Financial Metrics™\",\n", " 'content_embedding': [-0.01308224257081747,\n", " 0.06867944449186325,\n", " -0.020469442009925842,\n", " -0.0013825400965288281,\n", " 0.03702259436249733,\n", " 0.034121669828891754,\n", " 0.022126320749521255,\n", " -0.0070864795707166195,\n", " -0.010557292960584164,\n", " -0.06593254953622818,\n", " -0.017468953505158424,\n", " 0.06061680242419243,\n", " 0.029126448556780815,\n", " -0.005478510633111,\n", " -0.02594311349093914,\n", " 0.028809983283281326,\n", " -0.002178516471758485,\n", " 0.0039460924454033375,\n", " -0.02270846627652645,\n", " 0.006046907044947147,\n", " -0.012309784069657326,\n", " 0.0390404537320137,\n", " -0.037603527307510376,\n", " -0.08567654341459274,\n", " -0.013738332316279411,\n", " -0.04620838537812233,\n", " 0.016511132940649986,\n", " -0.031025303527712822,\n", " -0.007453782483935356,\n", " 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-0.054418858140707016,\n", " -0.04431282356381416]},\n", " {'file': 'AMZN_Moodys_CreditRating_2023.pdf',\n", " 'content': \"MOODY'S INVESTORS SERVICE CORPORATES\\nCredit strengths\\n»Leading online retailer and cloud provider\\n»AWS provides an increasing income stream provides solid positioning in AI\\n»Prime membership base supports customer loyalty\\n»Advertising revenue remains a significant area of growth\\nCredit challenges\\n»Brick-and-mortar retailers continue to increase online retail presence\\n»Heightened cloud competition from larger, well capitalized tech companies\\n»Inefficiencies in its retail fulfillment operations weigh on profitability\\n»Reduced cash balance lowers cushion for volatile or heavy investment periods\\nRating outlook\\nThe stable outlook reflects our view that Amazon will quickly restore its credit metrics to levels reflective of its A1 rating. The outlook\\nalso assumes that Amazon will maintain excellent liquidity and consistent financial strategies.\\nFactors that could lead to an upgrade\\n»Ratings could be upgraded if Amazon's numerous investments generate commensurate levels of profitability such that RCF/debt is\\nmaintained around 65%.\\n»Additional factors that would be critical for an upgrade are the continued maintenance of very strong liquidity, a robust cash and\\ninvestments to debt position and maintenance of conservative financial strategies.\",\n", " 'content_embedding': [-0.009228247217833996,\n", " 0.023773541674017906,\n", " -0.022304046899080276,\n", " -0.03917950019240379,\n", " 0.06441758573055267,\n", " 0.028071682900190353,\n", " -0.014852868393063545,\n", " 0.025770677253603935,\n", " -0.017682839184999466,\n", " -0.060142356902360916,\n", " -0.040711499750614166,\n", " 0.03696955740451813,\n", " 0.002060097176581621,\n", " 0.07723928242921829,\n", " -0.050064556300640106,\n", " 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For any credit ratings referenced in this publication, please see the issuer/deal page on https://ratings.moodys.com for the\\nmost updated credit rating action information and rating history.\\n2 23 May 2023 Amazon.com, Inc.: Update to credit analysis',\n", " 'content_embedding': [-0.027790367603302002,\n", " 0.01033176202327013,\n", " -0.019655777141451836,\n", " -0.04760090634226799,\n", " 0.06549181789159775,\n", " 0.023106774315238,\n", " -0.026523197069764137,\n", " 0.03556990623474121,\n", " -0.01474559586495161,\n", " -0.03361156955361366,\n", " -0.028208622708916664,\n", " 0.03965630382299423,\n", " -0.00519164465367794,\n", " 0.0261063352227211,\n", " -0.03623906522989273,\n", " 0.05032423511147499,\n", " 0.028490934520959854,\n", " -0.014722935855388641,\n", " -0.024840187281370163,\n", " 0.0007277797558344901,\n", " 0.02074000984430313,\n", " 0.014914114028215408,\n", " 0.0339391753077507,\n", " -0.0566406287252903,\n", " -0.003820735728368163,\n", " 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0.03736177459359169,\n", " -0.046754609793424606,\n", " -0.01772889867424965,\n", " -0.018469082191586494,\n", " -0.05567094311118126,\n", " -0.02698672004044056,\n", " -0.04913687705993652]},\n", " {'file': 'AMZN_Moodys_CreditRating_2023.pdf',\n", " 'content': \"MOODY'S INVESTORS SERVICE CORPORATES\\nKey indicators\\nExhibit 2\\nAmazon.com, Inc.\\nUS Billions Dec-18 Dec-19 Dec-20 Dec-21 Dec-22LTM \\n(Mar-23)12-18 Month \\nForward View\\nRevenue 233 281 386 470 514 525 589\\nEBIT / Interest Expense 5.9x 6.8x 10.2x 9.6x 2.8x 2.9x 5.9x\\nRCF / Net Debt 87.7% 90.9% 81.4% 62.8% 53.9% 50.7% 90.2%\\nDebt / EBITDA 2.3x 2.2x 2.1x 2.3x 3.6x 3.6x 2.4x\\nAll figures and ratios are calculated using Moody’s estimates and standard adjustments. Moody's Forecasts (f) or Projections (proj.) are Moody's opinion and do not represent the views of\\nthe issuer. Periods are Financial Year-End unless indicated.\",\n", " 'content_embedding': [0.003038279013708234,\n", " 0.024112433195114136,\n", " -0.032857634127140045,\n", " -0.021771224215626717,\n", " 0.04440304636955261,\n", " 0.017912594601511955,\n", " 0.04924885183572769,\n", " 0.01662489026784897,\n", " 0.00043026392813771963,\n", " -0.05422233045101166,\n", " -0.0076862419955432415,\n", " 0.054184842854738235,\n", " 0.0076730214059352875,\n", " 0.0915294736623764,\n", " -0.04370589926838875,\n", " 0.05822010338306427,\n", " -0.005172803997993469,\n", " 0.001970982877537608,\n", " -0.007503201719373465,\n", " 0.03526320308446884,\n", " -0.005573307629674673,\n", " 0.021659091114997864,\n", " 0.003558830125257373,\n", " -0.06256457418203354,\n", " 0.02293696627020836,\n", " -0.019257768988609314,\n", " 0.0519111305475235,\n", " -0.019713785499334335,\n", " 0.008995424956083298,\n", " -0.0805133655667305,\n", " 0.043550632894039154,\n", " -0.03686506301164627,\n", " 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LTM = Last Twelve Months.\\nSource: Moody’s Financial Metrics™\\nProfile\\nHeadquartered in Seattle, Washington, Amazon.com, Inc. is the world’s largest online retailer, and also a leading web services provider\\nvia AWS. Revenue was approximately $525 billion for the twelve months ended March 31, 2023.\\nExhibit 3\\nAmazon's Revenue by SegmentExhibit 4\\nAmazon's Operating Profit by Segment\\n$107,006 $135,987 $177,866 $232,887 $280,522 $386,064 $469,822 $513,983 $524,897 \\n $(50,000) $50,000 $150,000 $250,000 $350,000 $450,000 $550,000\\n2015 2016 2017 2018 2019 2020 2021 2022 Q1-23\\nLTMRevenue (USD Millions)North America International AWS\\nSource: Company SEC Filings$2,233 $4,186 $4,106 $12,420 $14,541 $22,899 $24,879 \\n$12,248 \\n$13,\",\n", " 'content_embedding': [-0.02161526307463646,\n", " 0.017826249822974205,\n", " -0.025887178257107735,\n", " 0.03091539815068245,\n", " 0.012698165141046047,\n", " 0.01871819980442524,\n", " 0.04805644229054451,\n", " -0.036155685782432556,\n", " -0.05072029307484627,\n", " -0.05358823388814926,\n", " -0.0180892962962389,\n", " -0.01278793253004551,\n", " 0.03946114704012871,\n", " 0.034478895366191864,\n", " -0.021048814058303833,\n", " 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possible for investment programs (delivery, content and\\ninternational) to continue. 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These trends have continued into Q2 2023 with April revenue growth rates lower than\\nQ1 2023. We expect revenue growth to improve toward the end of 2023 as optimization efforts of customers are exhausted. AWS’\\ncustomers continue to increase commitments for future capacity usage and we expect strong long-term growth for AWS benefiting\\nfrom migration of IT infrastructure investments from on-premise to the cloud. AWS is also well-positioned to capitalize on the rapidly\\ngrowing AI opportunity in the cloud with its scalable infrastructure, tools for developers to build and deploy models and services that\\ncustomers can use to leverage proprietary large language models. At the same time, AWS faces strong competitors with financial\\nresources such as Microsoft Corporation (Aaa Stable), Oracle Corporation (Baa2 Stable), Alphabet Inc. 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Nonetheless, competition has accelerated from larger players such\\nas Walmart Inc. (Aa2 stable), Target Corporation (A2 stable) and Best Buy Co., Inc. (A3 stable), all of which have continued to enhance\\ntheir online capabilities. These larger brick-and-mortar retailers can also leverage their store networks and proprietary distribution\\ncapability to offer the consumer options for obtaining their purchases. In store pickup provides a competitive offering (within hours\\nin most cases) and a more cost effective alternative to the seller. In addition, some brick-and-mortar retailers already have vehicle\\nnetworks that are used to stock its stores which could be used for some same day delivery capability. An example is the auto parts\\nretailers, which measure delivery times in hours, not days.\\nAmazon faces an increasingly competitive environment as the pandemic accelerated investment in areas such as curbside pickup,\\ninventory visibility and better usage of stores to fulfill orders.\",\n", " 'content_embedding': [-0.012922010384500027,\n", " -0.008826124481856823,\n", " -0.04117048159241676,\n", " -0.026470232754945755,\n", " 0.03581085801124573,\n", " 0.01908218488097191,\n", " 0.07686677575111389,\n", " -0.010095029138028622,\n", " -0.025781068950891495,\n", " -0.06424020230770111,\n", " -0.021528683602809906,\n", " 0.030954847112298012,\n", " 0.021827539429068565,\n", " 0.08327455818653107,\n", " -0.030309375375509262,\n", " 0.08558236807584763,\n", " -0.006065437104552984,\n", " 0.008311831392347813,\n", " -0.03263454511761665,\n", " 0.015649324283003807,\n", " 0.012670177035033703,\n", " 0.014296111650764942,\n", " -0.01819312758743763,\n", " -0.040381379425525665,\n", " 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The company is also\\nmoving its fulfillment network to a regionalized model which is expected to improve delivery speed and cost. To offset rising costs, the\\ncompany increased pricing on its prime membership in the U.S. in 2022 from $119 to $139 annually. The move, which is the first price\\nincrease since 2018 and will provide to offset to these continued investments.\\nThird-party sales remains an important part of the business with growth continuing to outpace first-party. Third party comprises\\n59% of paid units relative to 55% for the same period last year. The company has implemented a fuel and inflation as well as a peak\\nfulfillment surcharge on fulfillment fee per unit rates for Fulfilled by Amazon sellers in the face of rising inflation and energy costs. We\\nnote that Walmart has increased its third party efforts with its Advance Auto Parts and Shopify relationships. In the Advance example,\\nWalmart is providing space in its stores, as well as the use of its distribution network and placement on the website.',\n", " 'content_embedding': [0.022352447733283043,\n", " 0.03581862524151802,\n", " -0.009290674701333046,\n", " -0.0667252466082573,\n", " -0.004662623628973961,\n", " 0.0225448627024889,\n", " 0.03397747874259949,\n", " -0.03432987257838249,\n", " -0.05028735473752022,\n", " -0.06833749264478683,\n", " -0.005696703214198351,\n", " 0.030395109206438065,\n", " 0.03346698731184006,\n", " 0.1298728883266449,\n", " -0.03554583713412285,\n", " 0.011056951247155666,\n", " 0.011063785292208195,\n", " -0.0106809688732028,\n", " 0.044900067150592804,\n", " 0.016405951231718063,\n", " 0.02788732200860977,\n", " 0.014285651035606861,\n", " -0.030943578109145164,\n", " -0.09350382536649704,\n", " -0.050640977919101715,\n", " -0.015476681292057037,\n", " 0.01242009550333023,\n", " -0.02091299742460251,\n", " -0.007618670351803303,\n", " 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The 2017 acquisition of Whole Foods consisting now of over 500 locations\\nprovides Amazon with a “scalable” food business, as well as pickup points for online orders across categories. The company has closed\\nsome non-core concepts including its physical bookstores, and 4-star stores.\\nAdvertising revenue continues to grow rapidly in programmatic advertising and, in our opinion, has an advantage in this area given\\nits significant e-commerce presence and data gatheri ng. Growth in advertising revenue remains robust at over 23% in Q1 2023.\\nAdvertising for LTM March 2023 was roughly $39.4 billion, and we note advertising operating margins are generally healthy and\\ntypically run in the midteens. Along with AWS, the profitability of this category provides “buffer” to support its retail operations\\nperforming well below historical operating margins.',\n", " 'content_embedding': [0.01748734898865223,\n", " 0.048514027148485184,\n", " -0.03462331369519234,\n", " -0.05257144197821617,\n", " 0.0652499869465828,\n", " 0.0181678868830204,\n", " 0.02534707635641098,\n", " -0.05928806588053703,\n", " -0.0013176632346585393,\n", " -0.10157127678394318,\n", " -0.02757250890135765,\n", " -0.012897119857370853,\n", " 0.008942104876041412,\n", " 0.08451762795448303,\n", " -0.020439941436052322,\n", " 0.018320778384804726,\n", " -0.02464159019291401,\n", " -0.010350552387535572,\n", " 0.032769445329904556,\n", " 0.021752063184976578,\n", " -0.0004911139258183539,\n", " 0.013834928162395954,\n", " -0.028455914929509163,\n", " -0.08132847398519516,\n", " -0.005322770681232214,\n", " -0.05243229120969772,\n", " 0.010648383758962154,\n", " -0.02173135057091713,\n", " -0.02240503951907158,\n", " 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The company is\\nbenefiting from continued improvement in shipping speeds and in-stock rates have recovered. Amazon has been contending with\\nhigher costs related to system productivity and inflation since the second half of 2021.\\nDuring first quarter 2023, Amazon continued to take cost cutting measures to improve margins and make progress on reducing its\\ncash usage. These efforts include shutting down businesses such as Amazon Fabric and Amazon Care as well as closing eight Amazon\\nGo locations. The company has also increased its minimum grocery purchases from $35 to $150 for free shipping and reduced\\ncorporate head count.\",\n", " 'content_embedding': [-0.016115665435791016,\n", " 0.019384682178497314,\n", " -0.02999957650899887,\n", " -0.05600129812955856,\n", " 0.0368175134062767,\n", " 0.007342660333961248,\n", " 0.016522696241736412,\n", " -0.021108882501721382,\n", " -0.06582643836736679,\n", " -0.03630908951163292,\n", " 0.017730556428432465,\n", " 0.06286497414112091,\n", " 0.000707351544406265,\n", " 0.08595637232065201,\n", " -0.06594142317771912,\n", " 0.01334947906434536,\n", " 0.007498207036405802,\n", " -0.004079039674252272,\n", " -0.00023796891036909074,\n", " 0.012025060132145882,\n", " 0.03396695852279663,\n", " 0.026706166565418243,\n", " -0.017453687265515327,\n", " -0.08499903976917267,\n", " -0.016905328258872032,\n", " -0.016929451376199722,\n", " 0.017565494403243065,\n", " -0.013929440639913082,\n", " 0.014589616097509861,\n", " 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In 2022, the company spent approximately $59 billion in capital investments.\\nAmazon has continued to pursue acquisitions it has exited businesses that are not reaching long term return goals. The company\\nacquired MGM Holdings Inc. 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MGM's revenue of\\nabout $1.5 billion represents less than 1% of Amazon's revenue. The company also closed in Q1 2023 on its $4 billion purchase of\\n1Life Healthcare Inc. “One Medical,” a national primary care provider with approximately $1 billion of LTM revenue as of December\\n2022. One Medical operates a chain of primary healthcare clinics. The business is based on a membership model where the company\\ncharges a fixed monthly subscription fee and in exchange provides regular primary care services. The company focuses on both physical\\nappointments and digital offerings. The company also has announced its intention to acquire iRobot for approximately $1.9 billion. The\\npurchase is currently still being reviewed by the FTC.\\nWe estimate that Amazon's RCF/debt can return to near our target of 50% RCF/debt at the end of 2023 to the extent that Amazon\\nprioritizes aligning free cash flow generation with its investments.\",\n", " 'content_embedding': [0.032340969890356064,\n", " 0.06449572741985321,\n", " -0.017083944752812386,\n", " -0.052593860775232315,\n", " 0.03373770788311958,\n", " 0.030380217358469963,\n", " 0.04515288770198822,\n", " 0.02054011821746826,\n", " -0.023809760808944702,\n", " -0.023906154558062553,\n", " -0.023606134578585625,\n", " 0.019179942086338997,\n", " -0.004365226253867149,\n", " 0.10755307972431183,\n", " -0.06542986631393433,\n", " 0.08116240799427032,\n", " 0.004920057952404022,\n", " -0.008505663834512234,\n", " -0.02889932133257389,\n", " 0.014990177936851978,\n", " 0.02001754380762577,\n", " 0.03702230378985405,\n", " -0.004710270557552576,\n", " -0.03258591890335083,\n", " 0.002202497562393546,\n", " 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Nonetheless, the economic back drop remains weak which poses a need for continued capital allocation discipline\\nto achieve this goal. We also recognize that cash+short term investments as a percentage of debt remains below historical levels.\\nExhibit 5\\nRetained cash flow to debt expected to recover in the next 12-18 months\\n20%25%30%35%40%45%50%55%60%65%70%\\n2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Q1-23 LTM 12-18 Months\\nForward ViewUp Trigger Down Trigger RCF/Debt\\nCredit metrics reflect Moody's standard adjustments\\nSource: Moody’s Financial Metrics™, Moody's estimates\\nESG considerations\\nAmazon.com, Inc.\",\n", " 'content_embedding': [0.001195229939185083,\n", " 0.017198598012328148,\n", " -0.030792340636253357,\n", " -0.020910149440169334,\n", " 0.04371470585465431,\n", " 0.00708222109824419,\n", " -0.04044749587774277,\n", " 0.019826363772153854,\n", " -0.02097138948738575,\n", " -0.05470103770494461,\n", " -0.02404630184173584,\n", " 0.0421283096075058,\n", " 0.008678572252392769,\n", " 0.02498738095164299,\n", " -0.0446876585483551,\n", " 0.058701302856206894,\n", " 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CORPORATES\\nExhibit 7\\nESG Issuer Profile Scores\\nSource: Moody's Investors Service\\nEnvironmental\\n(E-3) Amazon's environmental risks reflect exposure to carbon transition risk as product transport, which currently relies primarily on\\ncombustion engine vehicles, remains integral to its operations. The company continues to invest in EV and is committed to growing\\nits EV fleet. Its physical climate risk is low as its operations are well diversified within the US and internationally. Natural capital risk is\\nviewed as low given its business diversification through AWS despite its sales of food and apparel.\\nSocial\\n(S-3) Amazon's social risk reflects its exposure to human capital, customer relations and responsible production. Human capital risk\\nhigher than most retailers, as AWS requires a more highly skilled workforce. The company’s exposure to risk related to demographic\\nand societal trends is lower than the that of the overall retail and apparel industry. Amazon remains poised to benefit from the\\ncontinued shift of consumers transacting online and the robust demand for IT infrastructure and the continued adoption of cloud\\nservices. 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-0.04691116511821747]},\n", " {'file': 'AMZN_Moodys_CreditRating_2023.pdf',\n", " 'content': \"Its business diversification with AWS and its significant volume with third party sellers lowers its responsible production risk.\\nData privacy issues surrounding both its online and web services segments increases customer relations risk.\\nGovernance\\n(G-2) Amazon's governance risk reflects its overall conservative financial policies, including the maintenance of high cash balances and\\nlimited shareholder distributions to date and its moderate leverage. The company has separate chairperson and CEO roles with Jeff\\nBezos as Chairman.\\nESG Issuer Profile Scores and Credit Impact Scores for the rated entity/transaction are available on Moodys.com. To view the latest\\nscores, please click here to go to the landing page for the entity/transaction on MDC and view the ESG Scores section.\\nLiquidity analysis\\nAmazon maintains strong liquidity from its significant cash balances, which provides the company with increased flexibility and this\\nremains a critical credit consideration. In January 2023, Amazon issued an $8 billion 364-day term loan to partially fund the One\\nMedical acquisition which closed February 2023. The company issued $12.75 billion of debt securities in April 2022 and $8.25 billion\\nin December 2022 ranging in maturity from 2024 to 2062.\",\n", " 'content_embedding': [0.023667210713028908,\n", " -0.04227706417441368,\n", " -0.02225557528436184,\n", " -0.03370799496769905,\n", " 0.03997358679771423,\n", " 0.03180158883333206,\n", " -0.02737426571547985,\n", " 6.54078321531415e-05,\n", " 0.02457481250166893,\n", " -0.030481871217489243,\n", " 0.008279695175588131,\n", " -0.011629610322415829,\n", " -0.02080829255282879,\n", " 0.08145204931497574,\n", " -0.013297253288328648,\n", " 0.057193491607904434,\n", " 0.04201039299368858,\n", " -0.015970511361956596,\n", " 0.013440710492432117,\n", " 0.0035825653467327356,\n", " 0.03319773077964783,\n", " 0.01524193212389946,\n", " -0.0015081398887559772,\n", " -0.07074058800935745,\n", " 0.019467776641249657,\n", " -0.011850745417177677,\n", " 0.017603496089577675,\n", " -0.01590590924024582,\n", " -0.008836211636662483,\n", " 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-0.04204125329852104,\n", " -0.07046187669038773,\n", " -0.07035263627767563]},\n", " {'file': 'AMZN_Moodys_CreditRating_2023.pdf',\n", " 'content': \"The use of proceeds were for general corporate purposes. We expect\\npositive free cash flow to be applied to debt reduction supported by improved working capital and better profitability at its non-AWS\\noperations.\\nIn March 2022, the company expanded its US commercial paper program to $20 billion. The commercial paper program includes the\\noption to issue €3 billion and is backed by a $10 billion revolving credit facility expiring March 29, 2025 as well as a $10 billion 364-day\\ncredit facility which was put in place on November 18, 2022 and may be extended once. As of March 31, 2023 the company had $7.8\\nbillion of commercial paper outstanding under its programs. A significant credit consideration to its short term and long term ratings\\nis Amazon's commitment to fully cover all commercial paper balances with the availability under its committed revolvers and excess\\nsame-day available cash balances. The commercial paper program is likely to be used to bridge working capital swings and adds to its\\nformidable liquidity profile. The revolving credit facility has same day availability, no ongoing MAC clause and no financial covenants.\\n6 23 May 2023 Amazon.com, Inc.\",\n", " 'content_embedding': [0.015116244554519653,\n", " 0.02225925773382187,\n", " -0.01583811454474926,\n", " -0.040902361273765564,\n", " 0.04378989711403847,\n", " 0.021764341741800308,\n", " 0.0027222412172704935,\n", " 0.004703681915998459,\n", " -0.044512633234262466,\n", " -0.024319462478160858,\n", " 0.01129499264061451,\n", " -0.012883570976555347,\n", " -0.014005950652062893,\n", " 0.04863138496875763,\n", " -0.04295339807868004,\n", " 0.04791336506605148,\n", " 0.049226704984903336,\n", " -0.022174110636115074,\n", " -0.0021519798319786787,\n", " 0.022630086168646812,\n", " 0.018967637792229652,\n", " 0.02319476380944252,\n", " -0.018232356756925583,\n", " -0.09912613779306412,\n", " -0.005304201506078243,\n", " -0.04215506091713905,\n", " -0.006049904506653547,\n", " -0.042097058147192,\n", " -0.02421305514872074,\n", " 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0.029620006680488586,\n", " -0.05732251703739166,\n", " -0.01614280417561531,\n", " -0.002957981312647462,\n", " -0.03284326568245888,\n", " -0.07236720621585846,\n", " -0.0677417740225792]},\n", " {'file': 'AMZN_Moodys_CreditRating_2023.pdf',\n", " 'content': \"MOODY'S INVESTORS SERVICE CORPORATES\\nRating methodology and scorecard factor\\n \\nThe following table shows Amazon.com, Inc.'s scorecard-indicated outcome using Retail Industry, with data as of March 31, 2023 and\\non a forward-looking basis. Applying Moody's 12-18 month forward view, the scorecard indicated outcome is A1, the same level as its\\nsenior unsecured rating.\\nExhibit 8\\nRetail Industry Scorecard [1][2] \\nFactor 1 : Scale (10%) Measure Score Measure Score\\na) Revenue (USD Billion) $524.9 Aaa $588.6 Aaa\\nFactor 2 : Business Profile (30%)\\na) Stability of Product Aa Aa Aa Aa\\nb) Execution and Competitive Position Aa Aa Aa Aa\\nFactor 3 : Leverage and Coverage (45%)\\na) EBIT / Interest Expense 2.9x Ba 5.9x Baa\\nb) RCF / Net Debt 50.7% Aa 90.2% Aa\\nc) Debt / EBITDA 3.6x Ba 2.\",\n", " 'content_embedding': [-0.023705003783106804,\n", " -0.03370162099599838,\n", " -0.01310561690479517,\n", " -0.027715768665075302,\n", " 0.04112350940704346,\n", " 0.03609741851687431,\n", " 0.025761881843209267,\n", " 0.020498791709542274,\n", " -0.01267198845744133,\n", " -0.05228748172521591,\n", " -0.034915558993816376,\n", " -0.008619817905128002,\n", " 0.03780951350927353,\n", " 0.09375221282243729,\n", " 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Moody's forward view; not the view of the issuer; and unless noted in the text, does not incorporate significant acquisitions and divestitures.\\nSource: Moody's Financial Metrics™, Moody's estimates\\n7 23 May 2023 Amazon.com, Inc.: Update to credit analysis\",\n", " 'content_embedding': [-0.006757335737347603,\n", " -0.02712010219693184,\n", " -0.022457025945186615,\n", " -0.02180521748960018,\n", " 0.05124802514910698,\n", " 0.031864505261182785,\n", " 0.009438412263989449,\n", " 0.008847898803651333,\n", " -0.0037530330009758472,\n", " -0.03769155591726303,\n", " -0.005576848052442074,\n", " -0.020473137497901917,\n", " 0.0034548528492450714,\n", " 0.0852300152182579,\n", " -0.04790530353784561,\n", " 0.08239218592643738,\n", " 0.02775469981133938,\n", " -0.03034719079732895,\n", " 0.010028072632849216,\n", " 0.003888456616550684,\n", " -0.023613037541508675,\n", " 0.02315359190106392,\n", " -0.015135319903492928,\n", " -0.06412573903799057,\n", " -0.0012368872994557023,\n", " 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170,579Moody's-Adjusted Debt Breakdown\\nAmazon.com, Inc.\\nAll figures are calculated using Moody’s estimates and standard adjustments.\",\n", " 'content_embedding': [-0.000930506328586489,\n", " 0.03842345252633095,\n", " -0.0199846550822258,\n", " -0.018958136439323425,\n", " 0.0695691630244255,\n", " 0.02035919763147831,\n", " 0.025762349367141724,\n", " 0.0027450870256870985,\n", " 0.009679530747234821,\n", " -0.04533853754401207,\n", " -0.0518687441945076,\n", " 0.03462308272719383,\n", " 0.033978212624788284,\n", " -0.003467929782345891,\n", " -0.02245548740029335,\n", " 0.06392953544855118,\n", " -0.0029536813963204622,\n", " -0.010230433195829391,\n", " -0.04065825045108795,\n", " 0.00481224013492465,\n", " -0.02411946840584278,\n", " 0.03947954624891281,\n", " -0.030978258699178696,\n", " -0.07165910303592682,\n", " 0.005143961403518915,\n", " -0.027452630922198296,\n", " 0.022325141355395317,\n", " -0.02434607781469822,\n", " -0.0012931721284985542,\n", " 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-0.04877808317542076,\n", " 0.0189962275326252,\n", " -0.012396188452839851,\n", " 0.03942089155316353,\n", " 0.025907132774591446,\n", " -0.022099779918789864,\n", " -0.026576245203614235,\n", " -0.0023867732379585505,\n", " 0.05118372663855553,\n", " 0.016571952030062675,\n", " 0.06163417920470238,\n", " 0.05434470623731613,\n", " 2.089611563431989e-34,\n", " 0.009636655449867249,\n", " -0.02348361536860466,\n", " 0.028319282457232475,\n", " 0.0007786211790516973,\n", " 0.03537231311202049,\n", " -0.013675330206751823,\n", " 0.009856672026216984,\n", " -0.029080359265208244,\n", " -0.07718551158905029,\n", " -0.03943823650479317,\n", " -0.05521825700998306]},\n", " {'file': 'AMZN_Moodys_CreditRating_2023.pdf',\n", " 'content': 'All figures are calculated using Moody’s estimates and standard adjustments.\\nSource: Moody’s Financial Metrics™\\nExhibit 12\\nPeer snapshot\\n(in US millions)FYE\\nDec-21FYE\\nDec-22LTM\\nMar-23FYE\\nJan-21FYE\\nJan-22FYE\\nJan-23FYE\\nDec-21FYE\\nDec-22LTM\\nMar-23FYE\\nAug-21FYE\\nAug-22LTM\\nFeb-23FYE\\nMay-21FYE\\nMay-22LTM\\nFeb-23\\nRevenue $469,822 $513,983 $524,897 $559,151 $572,754 $611,289 $257,637 $282,836 $284,612 $195,929 $226,954 $234,390 $40,479 $42,440 $47,957\\nEBITDA $59,058 $44,673 $47,159 $36,657 $39,032 $37,233 $91,935 $94,469 $93,141 $8,928 $10,195 $10,493 $19,363 $19,268 $19,314\\nTotal Debt $133,',\n", " 'content_embedding': [-0.0037285625003278255,\n", " 0.042170990258455276,\n", " -0.012149658985435963,\n", " 0.019808785989880562,\n", " 0.02758158929646015,\n", " -0.0063487570732831955,\n", " 0.005542711354792118,\n", " 0.013450557366013527,\n", " -0.03938188776373863,\n", " -0.029817191883921623,\n", " -0.08967259526252747,\n", " 0.017269523814320564,\n", " 0.03885556384921074,\n", " 0.05847067013382912,\n", " -0.019728947430849075,\n", " 0.034777652472257614,\n", " -0.01645224168896675,\n", " 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2.0480571493642e-34,\n", " -0.03290383890271187,\n", " -0.0535915307700634,\n", " 0.0521053746342659,\n", " -0.016564959660172462,\n", " 0.024307357147336006,\n", " -0.00902668759226799,\n", " -0.023353122174739838,\n", " -0.0017825866816565394,\n", " -0.020653696730732918,\n", " -0.03817206621170044,\n", " -0.027726106345653534]},\n", " {'file': 'AMZN_Moodys_CreditRating_2023.pdf',\n", " 'content': '5%\\nFCF / Debt -19.5% -15.4% -8.9% 26.2% 6.9% 8.0% 194.0% 167.7% 170.6% -3.9% 14.8% 32.4% 11.4% 1.8% 3.8%A1 Stable Aa2 Stable Aa2 Stable Aa3 Stable Baa2 StableAmazon.com, Inc. Walmart Inc. Alphabet Inc. Costco Wholesale Corporation Oracle Corporation\\nAll figures & ratios calculated using Moody’s estimates & standard adjustments. FYE = Financial Year-End. LTM = Last Twelve Months. RUR* = Ratings under Review, where UPG = for\\nupgrade and DNG = for downgrade.\\nSource: Moody’s Financial Metrics™\\n9 23 May 2023 Amazon.com, Inc.: Update to credit analysis',\n", " 'content_embedding': [-0.005357947666198015,\n", " 0.016027746722102165,\n", " -0.017294231802225113,\n", " -0.02893592044711113,\n", " 0.0439554899930954,\n", " 0.024282079190015793,\n", " 0.005687932018190622,\n", " 0.046917371451854706,\n", " -0.0034374964889138937,\n", " -0.03931744396686554,\n", " -0.02068842016160488,\n", " 0.0002493463980499655,\n", " 0.04361381754279137,\n", " 0.061882421374320984,\n", " -0.04195582866668701,\n", " 0.08362497389316559,\n", " 0.005415826104581356,\n", " 0.0012517262948676944,\n", " -0.005185550544410944,\n", " 0.008054924197494984,\n", " -0.03992834687232971,\n", " 0.04078611359000206,\n", " -0.020840970799326897,\n", " -0.02076089009642601,\n", " -0.009349783882498741,\n", " -0.005748865194618702,\n", " 0.04285895824432373,\n", " -0.031568851321935654,\n", " 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All rights reserved.\\nCREDIT RATINGS ISSUED BY MOODY'S CREDIT RATINGS AFFILIATES ARE THEIR CURRENT OPINIONS OF THE RELATIVE FUTURE CREDIT RISK OF ENTITIES, CREDIT\\nCOMMITMENTS, OR DEBT OR DEBT-LIKE SECURITIES, AND MATERIALS, PRODUCTS, SERVICES AND INFORMATION PUBLISHED BY MOODY’S (COLLECTIVELY,\\n“PUBLICATIONS”) MAY INCLUDE SUCH CURRENT OPINIONS. MOODY’S DEFINES CREDIT RISK AS THE RISK THAT AN ENTITY MAY NOT MEET ITS CONTRACTUAL\\nFINANCIAL OBLIGATIONS AS THEY COME DUE AND ANY ESTIMATED FINANCIAL LOSS IN THE EVENT OF DEFAULT OR IMPAIRMENT. SEE APPLICABLE MOODY’S\\nRATING SYMBOLS AND DEFINITIONS PUBLICATION FOR INFORMATION ON THE TYPES OF CONTRACTUAL FINANCIAL OBLIGATIONS ADDRESSED BY MOODY’S\\nCREDIT RATINGS.\",\n", " 'content_embedding': [-0.01173881720751524,\n", " -0.03800323233008385,\n", " -0.0028529649134725332,\n", " -0.03984706103801727,\n", " 0.02717181295156479,\n", " 0.039144355803728104,\n", " 0.0003342226555105299,\n", " 0.04394564777612686,\n", " 0.026368973776698112,\n", " -0.017593469470739365,\n", " 0.006790244486182928,\n", " 0.020489750429987907,\n", " 0.013872349634766579,\n", " 0.011177772656083107,\n", " 0.002237101085484028,\n", " 0.05935383215546608,\n", " 0.02668231725692749,\n", " -0.0019001113250851631,\n", " -0.0043715075589716434,\n", " 0.034238144755363464,\n", " -0.03873810917139053,\n", " -0.0035581986885517836,\n", " -0.02034020982682705,\n", " 9.46381624089554e-05,\n", " -0.06059801205992699,\n", " -0.019777828827500343,\n", " 0.029493391513824463,\n", " -0.04372071102261543,\n", " 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CREDIT RATINGS, NON-CREDIT ASSESSMENTS (“ASSESSMENTS”), AND OTHER OPINIONS INCLUDED IN MOODY’S PUBLICATIONS ARE NOT\\nSTATEMENTS OF CURRENT OR HISTORICAL FACT. MOODY’S PUBLICATIONS MAY ALSO INCLUDE QUANTITATIVE MODEL-BASED ESTIMATES OF CREDIT RISK AND\\nRELATED OPINIONS OR COMMENTARY PUBLISHED BY MOODY’S ANALYTICS, INC. AND/OR ITS AFFILIATES. 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However,\\nMOODY’S is not an auditor and cannot in every instance independently verify or validate information received in the credit rating process or in preparing its Publications.\\nTo the extent permitted by law, MOODY’S and its directors, officers, employees, agents, representatives, licensors and suppliers disclaim liability to any person or entity for any\\nindirect, special, consequential, or incidental losses or damages whatsoever arising from or in connection with the information contained herein or the use of or inability to use any\\nsuch information, even if MOODY’S or any of its directors, officers, employees, agents, representatives, licensors or suppliers is advised in advance of the possibility of such losses or\\ndamages, including but not limited to: (a) any loss of present or prospective profits or (b) any loss or damage arising where the relevant financial instrument is not the subject of a\\nparticular credit rating assigned by MOODY’S.\",\n", " 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the extent permitted by law, MOODY’S and its directors, officers, employees, agents, representatives, licensors and suppliers disclaim liability for any direct or compensatory\\nlosses or damages caused to any person or entity, including but not limited to by any negligence (but excluding fraud, willful misconduct or any other type of liability that, for the\\navoidance of doubt, by law cannot be excluded) on the part of, or any contingency within or beyond the control of, MOODY’S or any of its directors, officers, employees, agents,\\nrepresentatives, licensors or suppliers, arising from or in connection with the information contained herein or the use of or inability to use any such information.\\nNO WARRANTY, EXPRESS OR IMPLIED, AS TO THE ACCURACY, TIMELINESS, COMPLETENESS, MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OF ANY CREDIT\\nRATING, ASSESSMENT, OTHER OPINION OR INFORMATION IS GIVEN OR MADE BY MOODY’S IN ANY FORM OR MANNER WHATSOEVER.',\n", " 'content_embedding': 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'content': 'Moody’s Investors Service, Inc., a wholly-owned credit rating agency subsidiary of Moody’s Corporation (“MCO”), hereby discloses that most issuers of debt securities (including\\ncorporate and municipal bonds, debentures, notes and commercial paper) and preferred stock rated by Moody’s Investors Service, Inc. have, prior to assignment of any credit rating,\\nagreed to pay to Moody’s Investors Service, Inc. for credit ratings opinions and services rendered by it fees ranging from $1,000 to approximately $5,000,000. MCO and Moody’s\\nInvestors Service also maintain policies and procedures to address the independence of Moody’s Investors Service credit ratings and credit rating processes. Information regarding\\ncertain affiliations that may exist between directors of MCO and rated entities, and between entities who hold credit ratings from Moody’s Investors Service, Inc.',\n", " 'content_embedding': [0.03911886364221573,\n", " -0.0013522494118660688,\n", " 0.00752249313518405,\n", " -0.02421823889017105,\n", " 0.02678242139518261,\n", " 0.05025163292884827,\n", " 0.02541828714311123,\n", " 0.035450469702482224,\n", " 0.0009131027618423104,\n", " -0.01992015726864338,\n", " -0.06538710743188858,\n", " 0.06313683837652206,\n", " 0.02705799601972103,\n", " -0.021046727895736694,\n", " -0.04760518670082092,\n", " 0.03439957648515701,\n", " -0.010612516663968563,\n", " -0.013366892002522945,\n", " 0.035816632211208344,\n", " 0.014977490529417992,\n", " -0.016835572198033333,\n", " -0.004415405448526144,\n", " -0.014493652619421482,\n", " -0.027677536010742188,\n", " -0.05690031126141548,\n", " -0.024243241176009178,\n", " 0.027372874319553375,\n", " 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(“MJKK”) is a wholly-owned credit rating agency subsidiary of Moody's Group Japan G.K., which is wholly-owned by Moody’s\\nOverseas Holdings Inc., a wholly-owned subsidiary of MCO. Moody’s SF Japan K.K. (“MSFJ”) is a wholly-owned credit rating agency subsidiary of MJKK. MSFJ is not a Nationally\\nRecognized Statistical Rating Organization (“NRSRO”). Therefore, credit ratings assigned by MSFJ are Non-NRSRO Credit Ratings. Non-NRSRO Credit Ratings are assigned by an\\nentity that is not a NRSRO and, consequently, the rated obligation will not qualify for certain types of treatment under U.S. laws. 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[\n",
       "    {\n",
       "        'content': \"Exhibit 1\\nAmazon's debt has continued to rise as operating income remains below \n",
       "2019\\n$0$20,000$40,000$60,000$80,000$100,000$120,000$140,000$160,000$180,000\\n$0$5,000$10,000$15,000$20,000$25,000$\n",
       "30,000\\n2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Q1 -23 LTM\\nMoody's Adjusted Debt (USD Millions)Moody's \n",
       "Adj. Operating Income (USD Millions)Moody's adjusted operating income Moody's adjusted debt\\nDebt includes \n",
       "lease\\nSource: Moody’s Financial Metrics™\",\n",
       "        'filename': None,\n",
       "        'score': 0.8038355112075806\n",
       "    },\n",
       "    {\n",
       "        'content': \"Our estimates assumes that free cash flow is positive and utilized to\\nreduce funded debt. \n",
       "Nonetheless, the economic back drop remains weak which poses a need for continued capital allocation discipline\\nto\n",
       "achieve this goal. We also recognize that cash+short term investments as a percentage of debt remains below \n",
       "historical levels.\\nExhibit 5\\nRetained cash flow to debt expected to recover in the next 12-18 \n",
       "months\\n20%25%30%35%40%45%50%55%60%65%70%\\n2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Q1-23 LTM 12-18 \n",
       "Months\\nForward ViewUp Trigger Down Trigger RCF/Debt\\nCredit metrics reflect Moody's standard adjustments\\nSource: \n",
       "Moody’s Financial Metrics™, Moody's estimates\\nESG considerations\\nAmazon.com, Inc.\",\n",
       "        'filename': None,\n",
       "        'score': 0.7088446021080017\n",
       "    },\n",
       "    {\n",
       "        'content': \"MOODY'S INVESTORS SERVICE CORPORATES\\ncontent which is a key component to its Prime's value \n",
       "proposition and differentiates its offering beyond shipping. MGM's revenue of\\nabout $1.5 billion represents less \n",
       "than 1% of Amazon's revenue. The company also closed in Q1 2023 on its $4 billion purchase of\\n1Life Healthcare \n",
       "Inc. “One Medical,” a national primary care provider with approximately $1 billion of LTM revenue as of \n",
       "December\\n2022. One Medical operates a chain of primary healthcare clinics. The business is based on a membership \n",
       "model where the company\\ncharges a fixed monthly subscription fee and in exchange provides regular primary care \n",
       "services. The company focuses on both physical\\nappointments and digital offerings. The company also has announced \n",
       "its intention to acquire iRobot for approximately $1.9 billion. The\\npurchase is currently still being reviewed by \n",
       "the FTC.\\nWe estimate that Amazon's RCF/debt can return to near our target of 50% RCF/debt at the end of 2023 to \n",
       "the extent that Amazon\\nprioritizes aligning free cash flow generation with its investments.\",\n",
       "        'filename': None,\n",
       "        'score': 0.6756844520568848\n",
       "    },\n",
       "    {\n",
       "        'content': \"MOODY'S INVESTORS SERVICE CORPORATES\\nCredit strengths\\n»Leading online retailer and cloud \n",
       "provider\\n»AWS provides an increasing income stream provides solid positioning in AI\\n»Prime membership base \n",
       "supports customer loyalty\\n»Advertising revenue remains a significant area of growth\\nCredit \n",
       "challenges\\n»Brick-and-mortar retailers continue to increase online retail presence\\n»Heightened cloud competition \n",
       "from larger, well capitalized tech companies\\n»Inefficiencies in its retail fulfillment operations weigh on \n",
       "profitability\\n»Reduced cash balance lowers cushion for volatile or heavy investment periods\\nRating outlook\\nThe \n",
       "stable outlook reflects our view that Amazon will quickly restore its credit metrics to levels reflective of its A1\n",
       "rating. The outlook\\nalso assumes that Amazon will maintain excellent liquidity and consistent financial \n",
       "strategies.\\nFactors that could lead to an upgrade\\n»Ratings could be upgraded if Amazon's numerous investments \n",
       "generate commensurate levels of profitability such that RCF/debt is\\nmaintained around 65%.\\n»Additional factors \n",
       "that would be critical for an upgrade are the continued maintenance of very strong liquidity, a robust cash \n",
       "and\\ninvestments to debt position and maintenance of conservative financial strategies.\",\n",
       "        'filename': None,\n",
       "        'score': 0.6546109914779663\n",
       "    },\n",
       "    {\n",
       "        'content': \"The company is reliant\\non the operating income derived from AWS, as its non-AWS profitability \n",
       "has remained weak\\nsince the end of 2021. Although the company is making progress with improving productivity\\nand \n",
       "reducing costs, online operating margins remain well below historical levels. Amazon has\\ntaken actions to make its\n",
       "fulfillment operations more efficient as its business grows into its\\ncapacity, which doubled during the pandemic. \n",
       "Amazon has also built a solid ecosystem of\\nentertainment content that enhances its offering, operates a formidable\n",
       "third-party seller\\nbusiness and generates a solid and growing revenue stream from advertising. Nonetheless,\\nits \n",
       "credit metrics are currently weak for the A1 rating with RCF/Debt below 50%, as lower\\nprofitability, coupled with \n",
       "increased levels of investment have led to higher debt levels\\nand lower cash balances. Capital allocation will be \n",
       "critical to improving its credit profile as\\nAmazon navigates a weaker economic backdrop that could dampen demand \n",
       "for its products\\nand services as it pursues cost reductions and efficiencies to restore profitability at \n",
       "online\\nretail. The growing online presence of brick-and-mortar retailers, as well as the increasing\\ncompetition \n",
       "from larger, well capitalized companies in AWS' universe also presents future\\nchallenges.\",\n",
       "        'filename': None,\n",
       "        'score': 0.6462183594703674\n",
       "    }\n",
       "]\n",
       "
\n" ], "text/plain": [ "\u001b[1m[\u001b[0m\n", " \u001b[1m{\u001b[0m\n", " \u001b[32m'content'\u001b[0m: \u001b[32m\"Exhibit 1\\nAmazon's debt has continued to rise as operating income remains below \u001b[0m\n", "\u001b[32m2019\\n$0$20,000$40,000$60,000$80,000$100,000$120,000$140,000$160,000$180,000\\n$0$5,000$10,000$15,000$20,000$25,000$\u001b[0m\n", "\u001b[32m30,000\\n2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Q1 -23 LTM\\nMoody's Adjusted Debt \u001b[0m\u001b[32m(\u001b[0m\u001b[32mUSD Millions\u001b[0m\u001b[32m)\u001b[0m\u001b[32mMoody's \u001b[0m\n", "\u001b[32mAdj. Operating Income \u001b[0m\u001b[32m(\u001b[0m\u001b[32mUSD Millions\u001b[0m\u001b[32m)\u001b[0m\u001b[32mMoody's adjusted operating income Moody's adjusted debt\\nDebt includes \u001b[0m\n", "\u001b[32mlease\\nSource: Moody’s Financial Metrics™\"\u001b[0m,\n", " \u001b[32m'filename'\u001b[0m: \u001b[3;35mNone\u001b[0m,\n", " \u001b[32m'score'\u001b[0m: \u001b[1;36m0.8038355112075806\u001b[0m\n", " \u001b[1m}\u001b[0m,\n", " \u001b[1m{\u001b[0m\n", " \u001b[32m'content'\u001b[0m: \u001b[32m\"Our estimates assumes that free cash flow is positive and utilized to\\nreduce funded debt. \u001b[0m\n", "\u001b[32mNonetheless, the economic back drop remains weak which poses a need for continued capital allocation discipline\\nto\u001b[0m\n", "\u001b[32machieve this goal. We also recognize that cash+short term investments as a percentage of debt remains below \u001b[0m\n", "\u001b[32mhistorical levels.\\nExhibit 5\\nRetained cash flow to debt expected to recover in the next 12-18 \u001b[0m\n", "\u001b[32mmonths\\n20%25%30%35%40%45%50%55%60%65%70%\\n2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Q1-23 LTM 12-18 \u001b[0m\n", "\u001b[32mMonths\\nForward ViewUp Trigger Down Trigger RCF/Debt\\nCredit metrics reflect Moody's standard adjustments\\nSource: \u001b[0m\n", "\u001b[32mMoody’s Financial Metrics™, Moody's estimates\\nESG considerations\\nAmazon.com, Inc.\"\u001b[0m,\n", " \u001b[32m'filename'\u001b[0m: \u001b[3;35mNone\u001b[0m,\n", " \u001b[32m'score'\u001b[0m: \u001b[1;36m0.7088446021080017\u001b[0m\n", " \u001b[1m}\u001b[0m,\n", " \u001b[1m{\u001b[0m\n", " \u001b[32m'content'\u001b[0m: \u001b[32m\"MOODY'S INVESTORS SERVICE CORPORATES\\ncontent which is a key component to its Prime's value \u001b[0m\n", "\u001b[32mproposition and differentiates its offering beyond shipping. MGM's revenue of\\nabout $1.5 billion represents less \u001b[0m\n", "\u001b[32mthan 1% of Amazon's revenue. The company also closed in Q1 2023 on its $4 billion purchase of\\n1Life Healthcare \u001b[0m\n", "\u001b[32mInc. “One Medical,” a national primary care provider with approximately $1 billion of LTM revenue as of \u001b[0m\n", "\u001b[32mDecember\\n2022. One Medical operates a chain of primary healthcare clinics. The business is based on a membership \u001b[0m\n", "\u001b[32mmodel where the company\\ncharges a fixed monthly subscription fee and in exchange provides regular primary care \u001b[0m\n", "\u001b[32mservices. The company focuses on both physical\\nappointments and digital offerings. The company also has announced \u001b[0m\n", "\u001b[32mits intention to acquire iRobot for approximately $1.9 billion. The\\npurchase is currently still being reviewed by \u001b[0m\n", "\u001b[32mthe FTC.\\nWe estimate that Amazon's RCF/debt can return to near our target of 50% RCF/debt at the end of 2023 to \u001b[0m\n", "\u001b[32mthe extent that Amazon\\nprioritizes aligning free cash flow generation with its investments.\"\u001b[0m,\n", " \u001b[32m'filename'\u001b[0m: \u001b[3;35mNone\u001b[0m,\n", " \u001b[32m'score'\u001b[0m: \u001b[1;36m0.6756844520568848\u001b[0m\n", " \u001b[1m}\u001b[0m,\n", " \u001b[1m{\u001b[0m\n", " \u001b[32m'content'\u001b[0m: \u001b[32m\"MOODY'S INVESTORS SERVICE CORPORATES\\nCredit strengths\\n»Leading online retailer and cloud \u001b[0m\n", "\u001b[32mprovider\\n»AWS provides an increasing income stream provides solid positioning in AI\\n»Prime membership base \u001b[0m\n", "\u001b[32msupports customer loyalty\\n»Advertising revenue remains a significant area of growth\\nCredit \u001b[0m\n", "\u001b[32mchallenges\\n»Brick-and-mortar retailers continue to increase online retail presence\\n»Heightened cloud competition \u001b[0m\n", "\u001b[32mfrom larger, well capitalized tech companies\\n»Inefficiencies in its retail fulfillment operations weigh on \u001b[0m\n", "\u001b[32mprofitability\\n»Reduced cash balance lowers cushion for volatile or heavy investment periods\\nRating outlook\\nThe \u001b[0m\n", "\u001b[32mstable outlook reflects our view that Amazon will quickly restore its credit metrics to levels reflective of its A1\u001b[0m\n", "\u001b[32mrating. The outlook\\nalso assumes that Amazon will maintain excellent liquidity and consistent financial \u001b[0m\n", "\u001b[32mstrategies.\\nFactors that could lead to an upgrade\\n»Ratings could be upgraded if Amazon's numerous investments \u001b[0m\n", "\u001b[32mgenerate commensurate levels of profitability such that RCF/debt is\\nmaintained around 65%.\\n»Additional factors \u001b[0m\n", "\u001b[32mthat would be critical for an upgrade are the continued maintenance of very strong liquidity, a robust cash \u001b[0m\n", "\u001b[32mand\\ninvestments to debt position and maintenance of conservative financial strategies.\"\u001b[0m,\n", " \u001b[32m'filename'\u001b[0m: \u001b[3;35mNone\u001b[0m,\n", " \u001b[32m'score'\u001b[0m: \u001b[1;36m0.6546109914779663\u001b[0m\n", " \u001b[1m}\u001b[0m,\n", " \u001b[1m{\u001b[0m\n", " \u001b[32m'content'\u001b[0m: \u001b[32m\"The company is reliant\\non the operating income derived from AWS, as its non-AWS profitability \u001b[0m\n", "\u001b[32mhas remained weak\\nsince the end of 2021. Although the company is making progress with improving productivity\\nand \u001b[0m\n", "\u001b[32mreducing costs, online operating margins remain well below historical levels. Amazon has\\ntaken actions to make its\u001b[0m\n", "\u001b[32mfulfillment operations more efficient as its business grows into its\\ncapacity, which doubled during the pandemic. \u001b[0m\n", "\u001b[32mAmazon has also built a solid ecosystem of\\nentertainment content that enhances its offering, operates a formidable\u001b[0m\n", "\u001b[32mthird-party seller\\nbusiness and generates a solid and growing revenue stream from advertising. Nonetheless,\\nits \u001b[0m\n", "\u001b[32mcredit metrics are currently weak for the A1 rating with RCF/Debt below 50%, as lower\\nprofitability, coupled with \u001b[0m\n", "\u001b[32mincreased levels of investment have led to higher debt levels\\nand lower cash balances. Capital allocation will be \u001b[0m\n", "\u001b[32mcritical to improving its credit profile as\\nAmazon navigates a weaker economic backdrop that could dampen demand \u001b[0m\n", "\u001b[32mfor its products\\nand services as it pursues cost reductions and efficiencies to restore profitability at \u001b[0m\n", "\u001b[32monline\\nretail. The growing online presence of brick-and-mortar retailers, as well as the increasing\\ncompetition \u001b[0m\n", "\u001b[32mfrom larger, well capitalized companies in AWS' universe also presents future\\nchallenges.\"\u001b[0m,\n", " \u001b[32m'filename'\u001b[0m: \u001b[3;35mNone\u001b[0m,\n", " \u001b[32m'score'\u001b[0m: \u001b[1;36m0.6462183594703674\u001b[0m\n", " \u001b[1m}\u001b[0m\n", "\u001b[1m]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "query = \"What is Amazon debt?\"\n", "response = client.keyword_search(request=query,\n", " collection_name=collection_name,\n", " query_properties=['content'], \n", " limit=5,\n", " filter=None, \n", " return_properties=['filename', 'content'],\n", " return_raw=False) # true gives a lot of additional info (not useful for RAG)\n", "\n", "print(response)" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
[\n",
       "    {\n",
       "        'content': \"Exhibit 1\\nAmazon's debt has continued to rise as operating income remains below \n",
       "2019\\n$0$20,000$40,000$60,000$80,000$100,000$120,000$140,000$160,000$180,000\\n$0$5,000$10,000$15,000$20,000$25,000$\n",
       "30,000\\n2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Q1 -23 LTM\\nMoody's Adjusted Debt (USD Millions)Moody's \n",
       "Adj. Operating Income (USD Millions)Moody's adjusted operating income Moody's adjusted debt\\nDebt includes \n",
       "lease\\nSource: Moody’s Financial Metrics™\",\n",
       "        'filename': None,\n",
       "        'distance': 0.2852347493171692\n",
       "    },\n",
       "    {\n",
       "        'content': \"The use of proceeds were for general corporate purposes. We expect\\npositive free cash flow to \n",
       "be applied to debt reduction supported by improved working capital and better profitability at its \n",
       "non-AWS\\noperations.\\nIn March 2022, the company expanded its US commercial paper program to $20 billion. The \n",
       "commercial paper program includes the\\noption to issue €3 billion and is backed by a $10 billion revolving credit \n",
       "facility expiring March 29, 2025 as well as a $10 billion 364-day\\ncredit facility which was put in place on \n",
       "November 18, 2022 and may be extended once. As of March 31, 2023 the company had $7.8\\nbillion of commercial paper \n",
       "outstanding under its programs. A significant credit consideration to its short term and long term ratings\\nis \n",
       "Amazon's commitment to fully cover all commercial paper balances with the availability under its committed \n",
       "revolvers and excess\\nsame-day available cash balances. The commercial paper program is likely to be used to bridge\n",
       "working capital swings and adds to its\\nformidable liquidity profile. The revolving credit facility has same day \n",
       "availability, no ongoing MAC clause and no financial covenants.\\n6          23 May 2023 Amazon.com, Inc.\",\n",
       "        'filename': None,\n",
       "        'distance': 0.31232476234436035\n",
       "    },\n",
       "    {\n",
       "        'content': \"The company is reliant\\non the operating income derived from AWS, as its non-AWS profitability \n",
       "has remained weak\\nsince the end of 2021. Although the company is making progress with improving productivity\\nand \n",
       "reducing costs, online operating margins remain well below historical levels. Amazon has\\ntaken actions to make its\n",
       "fulfillment operations more efficient as its business grows into its\\ncapacity, which doubled during the pandemic. \n",
       "Amazon has also built a solid ecosystem of\\nentertainment content that enhances its offering, operates a formidable\n",
       "third-party seller\\nbusiness and generates a solid and growing revenue stream from advertising. Nonetheless,\\nits \n",
       "credit metrics are currently weak for the A1 rating with RCF/Debt below 50%, as lower\\nprofitability, coupled with \n",
       "increased levels of investment have led to higher debt levels\\nand lower cash balances. Capital allocation will be \n",
       "critical to improving its credit profile as\\nAmazon navigates a weaker economic backdrop that could dampen demand \n",
       "for its products\\nand services as it pursues cost reductions and efficiencies to restore profitability at \n",
       "online\\nretail. The growing online presence of brick-and-mortar retailers, as well as the increasing\\ncompetition \n",
       "from larger, well capitalized companies in AWS' universe also presents future\\nchallenges.\",\n",
       "        'filename': None,\n",
       "        'distance': 0.3435631990432739\n",
       "    },\n",
       "    {\n",
       "        'content': \"MOODY'S INVESTORS SERVICE CORPORATES\\nAppendix\\nExhibit 10\\n(in US \n",
       "Millions)FYE\\nDec-18FYE\\nDec-19FYE\\nDec-20FYE\\nDec-21FYE\\nDec-22LTM Ending\\nMar-23\\nAs Reported Debt49,289 24,719 \n",
       "32,971 50,235 70,149 69,084\\nOperating Leases 21,442 52,814 67,533 82,083 84,823 85,695\\nNon-Standard Adjustments \n",
       "101 101 725 725 6,800 15,800\\nMoody's-Adjusted Debt 70,832 77,634 101,229 133,043 161,772 170,579Moody's-Adjusted \n",
       "Debt Breakdown\\nAmazon.com, Inc.\\nAll figures are calculated using Moody’s estimates and standard adjustments.\",\n",
       "        'filename': None,\n",
       "        'distance': 0.34609949588775635\n",
       "    },\n",
       "    {\n",
       "        'content': \"Its business diversification with AWS and its significant volume with third party sellers \n",
       "lowers its responsible production risk.\\nData privacy issues surrounding both its online and web services segments \n",
       "increases customer relations risk.\\nGovernance\\n(G-2) Amazon's governance risk reflects its overall conservative \n",
       "financial policies, including the maintenance of high cash balances and\\nlimited shareholder distributions to date \n",
       "and its moderate leverage. The company has separate chairperson and CEO roles with Jeff\\nBezos as Chairman.\\nESG \n",
       "Issuer Profile Scores and Credit Impact Scores for the rated entity/transaction are available on Moodys.com. To \n",
       "view the latest\\nscores, please click here to go to the landing page for the entity/transaction on MDC and view the\n",
       "ESG Scores section.\\nLiquidity analysis\\nAmazon maintains strong liquidity from its significant cash balances, \n",
       "which provides the company with increased flexibility and this\\nremains a critical credit consideration. In January\n",
       "2023, Amazon issued an $8 billion 364-day term loan to partially fund the One\\nMedical acquisition which closed \n",
       "February 2023. The company issued $12.75 billion of debt securities in April 2022 and $8.25 billion\\nin December \n",
       "2022 ranging in maturity from 2024 to 2062.\",\n",
       "        'filename': None,\n",
       "        'distance': 0.3614093065261841\n",
       "    }\n",
       "]\n",
       "
\n" ], "text/plain": [ "\u001b[1m[\u001b[0m\n", " \u001b[1m{\u001b[0m\n", " \u001b[32m'content'\u001b[0m: \u001b[32m\"Exhibit 1\\nAmazon's debt has continued to rise as operating income remains below \u001b[0m\n", "\u001b[32m2019\\n$0$20,000$40,000$60,000$80,000$100,000$120,000$140,000$160,000$180,000\\n$0$5,000$10,000$15,000$20,000$25,000$\u001b[0m\n", "\u001b[32m30,000\\n2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Q1 -23 LTM\\nMoody's Adjusted Debt \u001b[0m\u001b[32m(\u001b[0m\u001b[32mUSD Millions\u001b[0m\u001b[32m)\u001b[0m\u001b[32mMoody's \u001b[0m\n", "\u001b[32mAdj. Operating Income \u001b[0m\u001b[32m(\u001b[0m\u001b[32mUSD Millions\u001b[0m\u001b[32m)\u001b[0m\u001b[32mMoody's adjusted operating income Moody's adjusted debt\\nDebt includes \u001b[0m\n", "\u001b[32mlease\\nSource: Moody’s Financial Metrics™\"\u001b[0m,\n", " \u001b[32m'filename'\u001b[0m: \u001b[3;35mNone\u001b[0m,\n", " \u001b[32m'distance'\u001b[0m: \u001b[1;36m0.2852347493171692\u001b[0m\n", " \u001b[1m}\u001b[0m,\n", " \u001b[1m{\u001b[0m\n", " \u001b[32m'content'\u001b[0m: \u001b[32m\"The use of proceeds were for general corporate purposes. We expect\\npositive free cash flow to \u001b[0m\n", "\u001b[32mbe applied to debt reduction supported by improved working capital and better profitability at its \u001b[0m\n", "\u001b[32mnon-AWS\\noperations.\\nIn March 2022, the company expanded its US commercial paper program to $20 billion. The \u001b[0m\n", "\u001b[32mcommercial paper program includes the\\noption to issue €3 billion and is backed by a $10 billion revolving credit \u001b[0m\n", "\u001b[32mfacility expiring March 29, 2025 as well as a $10 billion 364-day\\ncredit facility which was put in place on \u001b[0m\n", "\u001b[32mNovember 18, 2022 and may be extended once. As of March 31, 2023 the company had $7.8\\nbillion of commercial paper \u001b[0m\n", "\u001b[32moutstanding under its programs. A significant credit consideration to its short term and long term ratings\\nis \u001b[0m\n", "\u001b[32mAmazon's commitment to fully cover all commercial paper balances with the availability under its committed \u001b[0m\n", "\u001b[32mrevolvers and excess\\nsame-day available cash balances. The commercial paper program is likely to be used to bridge\u001b[0m\n", "\u001b[32mworking capital swings and adds to its\\nformidable liquidity profile. The revolving credit facility has same day \u001b[0m\n", "\u001b[32mavailability, no ongoing MAC clause and no financial covenants.\\n6 23 May 2023 Amazon.com, Inc.\"\u001b[0m,\n", " \u001b[32m'filename'\u001b[0m: \u001b[3;35mNone\u001b[0m,\n", " \u001b[32m'distance'\u001b[0m: \u001b[1;36m0.31232476234436035\u001b[0m\n", " \u001b[1m}\u001b[0m,\n", " \u001b[1m{\u001b[0m\n", " \u001b[32m'content'\u001b[0m: \u001b[32m\"The company is reliant\\non the operating income derived from AWS, as its non-AWS profitability \u001b[0m\n", "\u001b[32mhas remained weak\\nsince the end of 2021. Although the company is making progress with improving productivity\\nand \u001b[0m\n", "\u001b[32mreducing costs, online operating margins remain well below historical levels. Amazon has\\ntaken actions to make its\u001b[0m\n", "\u001b[32mfulfillment operations more efficient as its business grows into its\\ncapacity, which doubled during the pandemic. \u001b[0m\n", "\u001b[32mAmazon has also built a solid ecosystem of\\nentertainment content that enhances its offering, operates a formidable\u001b[0m\n", "\u001b[32mthird-party seller\\nbusiness and generates a solid and growing revenue stream from advertising. Nonetheless,\\nits \u001b[0m\n", "\u001b[32mcredit metrics are currently weak for the A1 rating with RCF/Debt below 50%, as lower\\nprofitability, coupled with \u001b[0m\n", "\u001b[32mincreased levels of investment have led to higher debt levels\\nand lower cash balances. Capital allocation will be \u001b[0m\n", "\u001b[32mcritical to improving its credit profile as\\nAmazon navigates a weaker economic backdrop that could dampen demand \u001b[0m\n", "\u001b[32mfor its products\\nand services as it pursues cost reductions and efficiencies to restore profitability at \u001b[0m\n", "\u001b[32monline\\nretail. The growing online presence of brick-and-mortar retailers, as well as the increasing\\ncompetition \u001b[0m\n", "\u001b[32mfrom larger, well capitalized companies in AWS' universe also presents future\\nchallenges.\"\u001b[0m,\n", " \u001b[32m'filename'\u001b[0m: \u001b[3;35mNone\u001b[0m,\n", " \u001b[32m'distance'\u001b[0m: \u001b[1;36m0.3435631990432739\u001b[0m\n", " \u001b[1m}\u001b[0m,\n", " \u001b[1m{\u001b[0m\n", " \u001b[32m'content'\u001b[0m: \u001b[32m\"MOODY'S INVESTORS SERVICE CORPORATES\\nAppendix\\nExhibit 10\\n\u001b[0m\u001b[32m(\u001b[0m\u001b[32min US \u001b[0m\n", "\u001b[32mMillions\u001b[0m\u001b[32m)\u001b[0m\u001b[32mFYE\\nDec-18FYE\\nDec-19FYE\\nDec-20FYE\\nDec-21FYE\\nDec-22LTM Ending\\nMar-23\\nAs Reported Debt49,289 24,719 \u001b[0m\n", "\u001b[32m32,971 50,235 70,149 69,084\\nOperating Leases 21,442 52,814 67,533 82,083 84,823 85,695\\nNon-Standard Adjustments \u001b[0m\n", "\u001b[32m101 101 725 725 6,800 15,800\\nMoody's-Adjusted Debt 70,832 77,634 101,229 133,043 161,772 170,579Moody's-Adjusted \u001b[0m\n", "\u001b[32mDebt Breakdown\\nAmazon.com, Inc.\\nAll figures are calculated using Moody’s estimates and standard adjustments.\"\u001b[0m,\n", " \u001b[32m'filename'\u001b[0m: \u001b[3;35mNone\u001b[0m,\n", " \u001b[32m'distance'\u001b[0m: \u001b[1;36m0.34609949588775635\u001b[0m\n", " \u001b[1m}\u001b[0m,\n", " \u001b[1m{\u001b[0m\n", " \u001b[32m'content'\u001b[0m: \u001b[32m\"Its business diversification with AWS and its significant volume with third party sellers \u001b[0m\n", "\u001b[32mlowers its responsible production risk.\\nData privacy issues surrounding both its online and web services segments \u001b[0m\n", "\u001b[32mincreases customer relations risk.\\nGovernance\\n\u001b[0m\u001b[32m(\u001b[0m\u001b[32mG-2\u001b[0m\u001b[32m)\u001b[0m\u001b[32m Amazon's governance risk reflects its overall conservative \u001b[0m\n", "\u001b[32mfinancial policies, including the maintenance of high cash balances and\\nlimited shareholder distributions to date \u001b[0m\n", "\u001b[32mand its moderate leverage. The company has separate chairperson and CEO roles with Jeff\\nBezos as Chairman.\\nESG \u001b[0m\n", "\u001b[32mIssuer Profile Scores and Credit Impact Scores for the rated entity/transaction are available on Moodys.com. To \u001b[0m\n", "\u001b[32mview the latest\\nscores, please click here to go to the landing page for the entity/transaction on MDC and view the\u001b[0m\n", "\u001b[32mESG Scores section.\\nLiquidity analysis\\nAmazon maintains strong liquidity from its significant cash balances, \u001b[0m\n", "\u001b[32mwhich provides the company with increased flexibility and this\\nremains a critical credit consideration. In January\u001b[0m\n", "\u001b[32m2023, Amazon issued an $8 billion 364-day term loan to partially fund the One\\nMedical acquisition which closed \u001b[0m\n", "\u001b[32mFebruary 2023. The company issued $12.75 billion of debt securities in April 2022 and $8.25 billion\\nin December \u001b[0m\n", "\u001b[32m2022 ranging in maturity from 2024 to 2062.\"\u001b[0m,\n", " \u001b[32m'filename'\u001b[0m: \u001b[3;35mNone\u001b[0m,\n", " \u001b[32m'distance'\u001b[0m: \u001b[1;36m0.3614093065261841\u001b[0m\n", " \u001b[1m}\u001b[0m\n", "\u001b[1m]\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "vector_response = client.vector_search(request=query,\n", " collection_name=collection_name,\n", " limit=5, \n", " return_properties=['filename', 'content'],\n", " filter=None,\n", " return_raw=False,\n", " device='cpu')\n", "print(vector_response)" ] }, { "cell_type": "code", "execution_count": 80, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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       "│   │   'content': 'UTC\\nFinancial Leverage (Reporting Currency) Actual Forecast\\nFiscal Year, ends 31 Dec 2020 2021 2022 2023 2024 2025 2026 2027\\nDebt/Capital % 49.3 70.0 58.3 55.3 53.6 51.2 48.8 47.2\\nAssets/Equity 3.3 5.6 4.1 3.8 3.6 3.4 3.2 3.0\\nNet Debt/EBITDA 2.8 3.5 9.6 2.7 2.6 2.4 2.3 2.1\\nTotal Debt/EBITDA 3.9 4.4 10.1 3.1 3.1 2.9 2.8 2.7\\nEBITDA/ Net Interest Expense 5.1 7.6 2.2 7.2 7.4 7.8 8.1 8.',\n",
       "│   │   'filename': None,\n",
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       "│   {\n",
       "│   │   'content': 'UTC\\nFinancial Leverage (Reporting Currency) Actual Forecast\\nFiscal Year, ends 31 Dec 2020 2021 2022 2023 2024 2025 2026 2027\\nDebt/Capital % 49.3 70.0 58.3 55.3 53.6 51.2 48.8 47.2\\nAssets/Equity 3.3 5.6 4.1 3.8 3.6 3.4 3.2 3.0\\nNet Debt/EBITDA 2.8 3.5 9.6 2.7 2.6 2.4 2.3 2.1\\nTotal Debt/EBITDA 3.9 4.4 10.1 3.1 3.1 2.9 2.8 2.7\\nEBITDA/ Net Interest Expense 5.1 7.6 2.2 7.2 7.4 7.8 8.1 8.',\n",
       "│   │   'filename': None,\n",
       "│   │   'score': 0.5773178935050964\n",
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       "│   {\n",
       "│   │   'content': 'UTC\\nFinancial Leverage (Reporting Currency) Actual Forecast\\nFiscal Year, ends 31 Dec 2020 2021 2022 2023 2024 2025 2026 2027\\nDebt/Capital % 49.3 70.0 58.3 55.3 53.6 51.2 48.8 47.2\\nAssets/Equity 3.3 5.6 4.1 3.8 3.6 3.4 3.2 3.0\\nNet Debt/EBITDA 2.8 3.5 9.6 2.7 2.6 2.4 2.3 2.1\\nTotal Debt/EBITDA 3.9 4.4 10.1 3.1 3.1 2.9 2.8 2.7\\nEBITDA/ Net Interest Expense 5.1 7.6 2.2 7.2 7.4 7.8 8.1 8.',\n",
       "│   │   'filename': None,\n",
       "│   │   'score': 0.5773178935050964\n",
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       "│   {\n",
       "│   │   'content': 'UTC\\nFinancial Leverage (Reporting Currency) Actual Forecast\\nFiscal Year, ends 31 Dec 2020 2021 2022 2023 2024 2025 2026 2027\\nDebt/Capital % 49.3 70.0 58.3 55.3 53.6 51.2 48.8 47.2\\nAssets/Equity 3.3 5.6 4.1 3.8 3.6 3.4 3.2 3.0\\nNet Debt/EBITDA 2.8 3.5 9.6 2.7 2.6 2.4 2.3 2.1\\nTotal Debt/EBITDA 3.9 4.4 10.1 3.1 3.1 2.9 2.8 2.7\\nEBITDA/ Net Interest Expense 5.1 7.6 2.2 7.2 7.4 7.8 8.1 8.',\n",
       "│   │   'filename': None,\n",
       "│   │   'score': 0.5773178935050964\n",
       "│   },\n",
       "│   {\n",
       "│   │   'content': 'UTC\\nFinancial Leverage (Reporting Currency) Actual Forecast\\nFiscal Year, ends 31 Dec 2020 2021 2022 2023 2024 2025 2026 2027\\nDebt/Capital % 49.3 70.0 58.3 55.3 53.6 51.2 48.8 47.2\\nAssets/Equity 3.3 5.6 4.1 3.8 3.6 3.4 3.2 3.0\\nNet Debt/EBITDA 2.8 3.5 9.6 2.7 2.6 2.4 2.3 2.1\\nTotal Debt/EBITDA 3.9 4.4 10.1 3.1 3.1 2.9 2.8 2.7\\nEBITDA/ Net Interest Expense 5.1 7.6 2.2 7.2 7.4 7.8 8.1 8.',\n",
       "│   │   'filename': None,\n",
       "│   │   'score': 0.5773178935050964\n",
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higher = more like keyword search \n", " limit=5, \n", " return_properties=['filename', 'content'],\n", " filter=None,\n", " return_raw=False,\n", " device='cpu')\n", "\n", "pprint(resp)" ] } ], "metadata": { "kernelspec": { "display_name": "venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.14" } }, "nbformat": 4, "nbformat_minor": 2 }