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287 lines
7.9 KiB
Plaintext
287 lines
7.9 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "4e4f9a0f",
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"metadata": {},
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"source": [
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"<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>"
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]
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},
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{
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"cell_type": "markdown",
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"id": "307804a3-c02b-4a57-ac0d-172c30ddc851",
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"metadata": {},
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"source": [
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"# Bagel Vector Store"
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]
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},
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{
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"cell_type": "markdown",
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"id": "15119a5b",
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"metadata": {},
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"source": [
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"If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "6d497859",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install llama-index-vector-stores-bagel\n",
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"%pip install llama-index\n",
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"%pip install bagelML"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d48af8e1",
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"metadata": {},
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"outputs": [],
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"source": [
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"import logging\n",
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"import sys\n",
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"\n",
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"logging.basicConfig(stream=sys.stdout, level=logging.INFO)\n",
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"logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "bf49ac18",
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"metadata": {},
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"outputs": [],
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"source": [
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"# set up OpenAI\n",
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"import os\n",
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"import getpass\n",
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"\n",
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"os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
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"import openai\n",
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"\n",
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"openai.api_key = os.environ[\"OPENAI_API_KEY\"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "465aef6e",
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"\n",
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"# Set environment variable\n",
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"os.environ[\"BAGEL_API_KEY\"] = getpass.getpass(\"Bagel API Key:\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0ce3143d-198c-4dd2-8e5a-c5cdf94f017a",
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"metadata": {},
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"outputs": [],
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"source": [
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"import bagel\n",
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"from bagel import Settings"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "667f3cb3-ce18-48d5-b9aa-bfc1a1f0f0f6",
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"metadata": {},
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"outputs": [],
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"source": [
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"server_settings = Settings(\n",
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" bagel_api_impl=\"rest\", bagel_server_host=\"api.bageldb.ai\"\n",
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")\n",
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"\n",
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"client = bagel.Client(server_settings)\n",
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"\n",
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"collection = client.get_or_create_cluster(\n",
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" \"testing_embeddings_3\", embedding_model=\"custom\", dimension=1536\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0a2bcc07",
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"metadata": {},
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"outputs": [],
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"source": [
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"from llama_index.core import VectorStoreIndex, StorageContext\n",
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"from llama_index.vector_stores.bagel import BagelVectorStore"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "68cbd239-880e-41a3-98d8-dbb3fab55431",
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"metadata": {},
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"outputs": [],
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"source": [
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"from llama_index.core.schema import TextNode\n",
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"\n",
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"nodes = [\n",
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" TextNode(\n",
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" text=(\n",
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" \"Michael Jordan is a retired professional basketball player,\"\n",
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" \" widely regarded as one of the greatest basketball players of all\"\n",
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" \" time.\"\n",
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" ),\n",
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" metadata={\n",
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" \"category\": \"Sports\",\n",
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" \"country\": \"United States\",\n",
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" },\n",
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" ),\n",
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" TextNode(\n",
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" text=(\n",
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" \"Angelina Jolie is an American actress, filmmaker, and\"\n",
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" \" humanitarian. She has received numerous awards for her acting\"\n",
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" \" and is known for her philanthropic work.\"\n",
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" ),\n",
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" metadata={\n",
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" \"category\": \"Entertainment\",\n",
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" \"country\": \"United States\",\n",
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" },\n",
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" ),\n",
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" TextNode(\n",
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" text=(\n",
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" \"Elon Musk is a business magnate, industrial designer, and\"\n",
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" \" engineer. He is the founder, CEO, and lead designer of SpaceX,\"\n",
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" \" Tesla, Inc., Neuralink, and The Boring Company.\"\n",
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" ),\n",
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" metadata={\n",
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" \"category\": \"Business\",\n",
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" \"country\": \"United States\",\n",
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" },\n",
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" ),\n",
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" TextNode(\n",
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" text=(\n",
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" \"Rihanna is a Barbadian singer, actress, and businesswoman. She\"\n",
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" \" has achieved significant success in the music industry and is\"\n",
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" \" known for her versatile musical style.\"\n",
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" ),\n",
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" metadata={\n",
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" \"category\": \"Music\",\n",
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" \"country\": \"Barbados\",\n",
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" },\n",
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" ),\n",
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" TextNode(\n",
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" text=(\n",
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" \"Cristiano Ronaldo is a Portuguese professional footballer who is\"\n",
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" \" considered one of the greatest football players of all time. He\"\n",
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" \" has won numerous awards and set multiple records during his\"\n",
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" \" career.\"\n",
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" ),\n",
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" metadata={\n",
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" \"category\": \"Sports\",\n",
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" \"country\": \"Portugal\",\n",
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" },\n",
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" ),\n",
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"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ba1558b3",
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"metadata": {},
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"outputs": [],
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"source": [
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"vector_store = BagelVectorStore(collection=collection)\n",
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"storage_context = StorageContext.from_defaults(vector_store=vector_store)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "35369eda",
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"metadata": {},
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"outputs": [],
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"source": [
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"index = VectorStoreIndex(nodes, storage_context=storage_context)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "bedbb693-725f-478f-be26-fa7180ea38b2",
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"metadata": {},
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"outputs": [],
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"source": [
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"from llama_index.core.retrievers import VectorIndexAutoRetriever\n",
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"from llama_index.core.vector_stores import MetadataInfo, VectorStoreInfo\n",
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"\n",
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"\n",
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"vector_store_info = VectorStoreInfo(\n",
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" content_info=\"brief biography of celebrities\",\n",
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" metadata_info=[\n",
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" MetadataInfo(\n",
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" name=\"category\",\n",
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" type=\"str\",\n",
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" description=(\n",
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" \"Category of the celebrity, one of [Sports, Entertainment,\"\n",
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" \" Business, Music]\"\n",
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" ),\n",
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" ),\n",
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" MetadataInfo(\n",
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" name=\"country\",\n",
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" type=\"str\",\n",
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" description=(\n",
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" \"Country of the celebrity, one of [United States, Barbados,\"\n",
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" \" Portugal]\"\n",
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" ),\n",
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" ),\n",
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" ],\n",
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")\n",
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"retriever = VectorIndexAutoRetriever(\n",
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" index, vector_store_info=vector_store_info\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "eeb18e9c",
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"metadata": {},
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"outputs": [],
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"source": [
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"retriever.retrieve(\"celebrity\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3"
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},
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"vscode": {
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"interpreter": {
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"hash": "0ac390d292208ca2380c85f5bce7ded36a7a25670a97c40b8009630eb36cb06e"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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