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

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{
"cells": [
{
"cell_type": "markdown",
"id": "4e4f9a0f",
"metadata": {},
"source": [
"<a href=\"https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/vector_stores/BagelAutoRetriever.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"id": "307804a3-c02b-4a57-ac0d-172c30ddc851",
"metadata": {},
"source": [
"# Bagel Vector Store"
]
},
{
"cell_type": "markdown",
"id": "15119a5b",
"metadata": {},
"source": [
"If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6d497859",
"metadata": {},
"outputs": [],
"source": [
"%pip install llama-index-vector-stores-bagel\n",
"%pip install llama-index\n",
"%pip install bagelML"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d48af8e1",
"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))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bf49ac18",
"metadata": {},
"outputs": [],
"source": [
"# set up OpenAI\n",
"import os\n",
"import getpass\n",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
"import openai\n",
"\n",
"openai.api_key = os.environ[\"OPENAI_API_KEY\"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "465aef6e",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"# Set environment variable\n",
"os.environ[\"BAGEL_API_KEY\"] = getpass.getpass(\"Bagel API Key:\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0ce3143d-198c-4dd2-8e5a-c5cdf94f017a",
"metadata": {},
"outputs": [],
"source": [
"import bagel\n",
"from bagel import Settings"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "667f3cb3-ce18-48d5-b9aa-bfc1a1f0f0f6",
"metadata": {},
"outputs": [],
"source": [
"server_settings = Settings(\n",
" bagel_api_impl=\"rest\", bagel_server_host=\"api.bageldb.ai\"\n",
")\n",
"\n",
"client = bagel.Client(server_settings)\n",
"\n",
"collection = client.get_or_create_cluster(\n",
" \"testing_embeddings_3\", embedding_model=\"custom\", dimension=1536\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0a2bcc07",
"metadata": {},
"outputs": [],
"source": [
"from llama_index.core import VectorStoreIndex, StorageContext\n",
"from llama_index.vector_stores.bagel import BagelVectorStore"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "68cbd239-880e-41a3-98d8-dbb3fab55431",
"metadata": {},
"outputs": [],
"source": [
"from llama_index.core.schema import TextNode\n",
"\n",
"nodes = [\n",
" TextNode(\n",
" text=(\n",
" \"Michael Jordan is a retired professional basketball player,\"\n",
" \" widely regarded as one of the greatest basketball players of all\"\n",
" \" time.\"\n",
" ),\n",
" metadata={\n",
" \"category\": \"Sports\",\n",
" \"country\": \"United States\",\n",
" },\n",
" ),\n",
" TextNode(\n",
" text=(\n",
" \"Angelina Jolie is an American actress, filmmaker, and\"\n",
" \" humanitarian. She has received numerous awards for her acting\"\n",
" \" and is known for her philanthropic work.\"\n",
" ),\n",
" metadata={\n",
" \"category\": \"Entertainment\",\n",
" \"country\": \"United States\",\n",
" },\n",
" ),\n",
" TextNode(\n",
" text=(\n",
" \"Elon Musk is a business magnate, industrial designer, and\"\n",
" \" engineer. He is the founder, CEO, and lead designer of SpaceX,\"\n",
" \" Tesla, Inc., Neuralink, and The Boring Company.\"\n",
" ),\n",
" metadata={\n",
" \"category\": \"Business\",\n",
" \"country\": \"United States\",\n",
" },\n",
" ),\n",
" TextNode(\n",
" text=(\n",
" \"Rihanna is a Barbadian singer, actress, and businesswoman. She\"\n",
" \" has achieved significant success in the music industry and is\"\n",
" \" known for her versatile musical style.\"\n",
" ),\n",
" metadata={\n",
" \"category\": \"Music\",\n",
" \"country\": \"Barbados\",\n",
" },\n",
" ),\n",
" TextNode(\n",
" text=(\n",
" \"Cristiano Ronaldo is a Portuguese professional footballer who is\"\n",
" \" considered one of the greatest football players of all time. He\"\n",
" \" has won numerous awards and set multiple records during his\"\n",
" \" career.\"\n",
" ),\n",
" metadata={\n",
" \"category\": \"Sports\",\n",
" \"country\": \"Portugal\",\n",
" },\n",
" ),\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ba1558b3",
"metadata": {},
"outputs": [],
"source": [
"vector_store = BagelVectorStore(collection=collection)\n",
"storage_context = StorageContext.from_defaults(vector_store=vector_store)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "35369eda",
"metadata": {},
"outputs": [],
"source": [
"index = VectorStoreIndex(nodes, storage_context=storage_context)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bedbb693-725f-478f-be26-fa7180ea38b2",
"metadata": {},
"outputs": [],
"source": [
"from llama_index.core.retrievers import VectorIndexAutoRetriever\n",
"from llama_index.core.vector_stores import MetadataInfo, VectorStoreInfo\n",
"\n",
"\n",
"vector_store_info = VectorStoreInfo(\n",
" content_info=\"brief biography of celebrities\",\n",
" metadata_info=[\n",
" MetadataInfo(\n",
" name=\"category\",\n",
" type=\"str\",\n",
" description=(\n",
" \"Category of the celebrity, one of [Sports, Entertainment,\"\n",
" \" Business, Music]\"\n",
" ),\n",
" ),\n",
" MetadataInfo(\n",
" name=\"country\",\n",
" type=\"str\",\n",
" description=(\n",
" \"Country of the celebrity, one of [United States, Barbados,\"\n",
" \" Portugal]\"\n",
" ),\n",
" ),\n",
" ],\n",
")\n",
"retriever = VectorIndexAutoRetriever(\n",
" index, vector_store_info=vector_store_info\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "eeb18e9c",
"metadata": {},
"outputs": [],
"source": [
"retriever.retrieve(\"celebrity\")"
]
}
],
"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"
},
"vscode": {
"interpreter": {
"hash": "0ac390d292208ca2380c85f5bce7ded36a7a25670a97c40b8009630eb36cb06e"
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}