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chore: import upstream snapshot with attribution
2026-07-13 12:26:52 +08:00

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{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"id": "a1be3085",
"metadata": {},
"source": [
"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/data_connectors/MongoDemo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "effeb5a7-8544-4ee4-8c11-bad0d8165394",
"metadata": {},
"source": [
"# MongoDB Reader\n",
"Demonstrates our MongoDB data connector"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9df1ec0c",
"metadata": {},
"outputs": [],
"source": [
"%pip install llama-index-readers-mongodb"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "60355655",
"metadata": {},
"outputs": [],
"source": [
"import logging\n",
"import sys\n",
"\n",
"logging.basicConfig(stream=sys.stdout, level=logging.INFO)\n",
"logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))"
]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "c1f8b93d",
"metadata": {},
"source": [
"If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙 and pymongo."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d7e889da",
"metadata": {},
"outputs": [],
"source": [
"!pip install llama-index pymongo"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6ea1f66d-10ed-4417-bdcb-f8a894836ea5",
"metadata": {},
"outputs": [],
"source": [
"from llama_index.core import SummaryIndex\n",
"from llama_index.readers.mongodb import SimpleMongoReader\n",
"from IPython.display import Markdown, display\n",
"import os"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "da90589a-fb44-4ec6-9706-753dba4fa968",
"metadata": {},
"outputs": [],
"source": [
"host = \"<host>\"\n",
"port = \"<port>\"\n",
"db_name = \"<db_name>\"\n",
"collection_name = \"<collection_name>\"\n",
"# query_dict is passed into db.collection.find()\n",
"query_dict = {}\n",
"field_names = [\"text\"]\n",
"reader = SimpleMongoReader(host, port)\n",
"documents = reader.load_data(\n",
" db_name, collection_name, field_names, query_dict=query_dict\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "341295df-2029-4728-ab3d-2ee178a7e6f1",
"metadata": {},
"outputs": [],
"source": [
"index = SummaryIndex.from_documents(documents)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "01c26b9d-49ec-4a6e-9c61-5c06bb86bbb2",
"metadata": {},
"outputs": [],
"source": [
"# set Logging to DEBUG for more detailed outputs\n",
"query_engine = index.as_query_engine()\n",
"response = query_engine.query(\"<query_text>\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f160c678-2fb5-4d6d-b2bc-87abb61cfdec",
"metadata": {},
"outputs": [],
"source": [
"display(Markdown(f\"<b>{response}</b>\"))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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"
}
},
"nbformat": 4,
"nbformat_minor": 5
}