Created
September 13, 2024 22:50
-
-
Save tspannhw/4fcfa63d3ef1faf272de02ef0f1b8572 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "id": "826d3b74-a160-481a-8281-92a2739c059a", | |
| "metadata": {}, | |
| "source": [ | |
| "# Partionining by Key in Milvus\n", | |
| "\n", | |
| "#### 10-September-2024 == Partioned by Key with Milvus articles" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "8317cc19-588d-43a9-9f8f-be1467193d43", | |
| "metadata": {}, | |
| "source": [ | |
| "# Goal of this Application\n", | |
| "\n", | |
| "In this application, we will build a simple application to ingest recent Medium articles via RSS Feeds from Zilliz, Medium and Tim Spann.\n", | |
| "\n", | |
| "### 1️⃣ Ingest and Parse RSS Feeds:\n", | |
| "Learn to ingest data from three Medium RSS feeds and parse them with *feedparser*. We also remove the HTML tags that are within the RSS Summary of the article\n", | |
| "\n", | |
| "### 2️⃣ Store Data into Milvus:\n", | |
| "Learn to store data into Milvus, an efficient vector database designed for high-speed similarity searches and AI applications. In this step we are building a data model with scalar fields and a vector field. This collection will be partitioned by media source.We have one large varchar field for the text of the article. We encode the text with Sentence Transformer *all-MiniLM-L6-v2*. \n", | |
| "\n", | |
| "### 3️⃣ Search:\n", | |
| "Discover how to use scalars and our vector to search data stored in Milvus show the final results in this notebook.\n", | |
| "\n", | |
| "### 4️⃣ Display Resulting Text:\n", | |
| "Build a quick output query filtered by partition key.\n", | |
| "\n", | |
| "### 5️⃣ Examine Partitions:\n", | |
| "We will inspect and validate the partitions that we have built in this application. \n", | |
| "\n", | |
| "# 🔍 Summary\n", | |
| "By the end of this application, you’ll have a comprehensive understanding of using Milvus, data ingest object semi-structured and unstructured data, and using Open Source models to build a robust and efficient data retrieval system. For future enhancements, we can use this information to feed a RAG or applications.\n", | |
| "\n", | |
| "\n", | |
| "### Reference\n", | |
| "\n", | |
| "https://milvus.io/docs/use-partition-key.md\n" | |
| ] | |
| }, | |
| { | |
| "attachments": { | |
| "54f3fb75-e562-4da1-97a9-e66e31ba300e.png": { | |
| "image/png": "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" | |
| } | |
| }, | |
| "cell_type": "markdown", | |
| "id": "4fd89370-8bb7-476d-ba3c-95863e90d800", | |
| "metadata": {}, | |
| "source": [ | |
| "## Partition by Key\n", | |
| "\n", | |
| "\n", | |
| "" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "id": "321ba5a9-7e9a-4d27-94c5-aeb5f9783bbd", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Requirement already satisfied: bs4 in ./milvusvenv/lib/python3.12/site-packages (0.0.2)\n", | |
| "Requirement already satisfied: feedparser in ./milvusvenv/lib/python3.12/site-packages (6.0.11)\n", | |
| "Requirement already satisfied: beautifulsoup4 in ./milvusvenv/lib/python3.12/site-packages (from bs4) (4.12.3)\n", | |
| "Requirement already satisfied: sgmllib3k in ./milvusvenv/lib/python3.12/site-packages (from feedparser) (1.0.0)\n", | |
| "Requirement already satisfied: soupsieve>1.2 in ./milvusvenv/lib/python3.12/site-packages (from beautifulsoup4->bs4) (2.5)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "!pip3 install bs4 feedparser pymilvus[model]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "id": "4deca7a7-2817-4f18-b6ab-d9397b3735cb", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/Users/timothyspann/Downloads/code/milvusvenv/lib/python3.12/site-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884\n", | |
| " warnings.warn(\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "import os\n", | |
| "from pymilvus import MilvusClient\n", | |
| "from pymilvus import (\n", | |
| " utility,\n", | |
| " FieldSchema, CollectionSchema, DataType,\n", | |
| " Collection, AnnSearchRequest, RRFRanker, connections, utility\n", | |
| ")\n", | |
| "from pymilvus import model\n", | |
| "from pymilvus.model.dense import SentenceTransformerEmbeddingFunction\n", | |
| "\n", | |
| "model = SentenceTransformerEmbeddingFunction('all-MiniLM-L6-v2',device='cpu' )\n", | |
| "\n", | |
| "##### Three Medium blogs to consume from\n", | |
| "TSPANN_SOURCE = \"tspann\"\n", | |
| "MILVUS_SOURCE = \"milvusio\"\n", | |
| "ZILLIZ_SOURCE = \"zilliz_learn\"\n", | |
| "\n", | |
| "COLLECTION_NAME = \"mediumarticleskey\"\n", | |
| "TSPANN_MEDIUM_URL = \"https://medium.com/@\" + TSPANN_SOURCE + \"/feed\"\n", | |
| "MILVUS_MEDIUM_URL = \"https://medium.com/@\" + MILVUS_SOURCE + \"/feed\"\n", | |
| "ZILLIZ_MEDIUM_URL = \"https://medium.com/@\" + ZILLIZ_SOURCE + \"/feed\"\n", | |
| "\n", | |
| "# MILVUS_URL = \"http://192.168.1.153:19530\" \n", | |
| "MILVUS_URL = os.environ.get(\"SERVERLESS_VECTORDB_URI\")\n", | |
| "TOKEN = os.environ.get(\"ZILLIZ_TOKEN\")\n", | |
| "\n", | |
| "# Connect to Docker Server\n", | |
| "milvus_client = MilvusClient( uri=MILVUS_URL, token=TOKEN )" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 52, | |
| "id": "e4cd2db0-3d15-4980-a3b7-40634755402e", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "collection exists\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "from pymilvus import connections\n", | |
| "from pymilvus import utility\n", | |
| "from pymilvus import FieldSchema, CollectionSchema, DataType, Collection\n", | |
| "import pprint\n", | |
| "\n", | |
| "if milvus_client.has_collection(COLLECTION_NAME):\n", | |
| " print(\"collection exists\")\n", | |
| "else:\n", | |
| " ## Schema\n", | |
| " # partition_key_field: critical for partitioning\n", | |
| " # num_partitions: default and best practice value is 16\n", | |
| " # \n", | |
| " schema = milvus_client.create_schema(auto_id=True, enable_dynamic_fields=True, partition_key_field=\"doc_primary_category\", num_partitions=16 )\n", | |
| " schema.add_field(field_name=\"doc_author\", datatype=DataType.VARCHAR, max_length=512)\n", | |
| " schema.add_field(field_name=\"doc_source\", datatype=DataType.VARCHAR, max_length=50)\n", | |
| " schema.add_field(field_name=\"doc_primary_category\", datatype=DataType.VARCHAR, max_length=50)\n", | |
| " schema.add_field(field_name=\"doc_tags\", datatype=DataType.VARCHAR, max_length=10000)\n", | |
| " schema.add_field(field_name=\"doc_id\", datatype=DataType.VARCHAR, is_primary=True, max_length=100)\n", | |
| " schema.add_field(field_name=\"doc_title\", datatype=DataType.VARCHAR, max_length=512)\n", | |
| " schema.add_field(field_name=\"doc_link\", datatype=DataType.VARCHAR, max_length=512)\n", | |
| " schema.add_field(field_name=\"doc_publisheddate\", datatype=DataType.VARCHAR, max_length=100)\n", | |
| " schema.add_field(field_name=\"doc_text\", datatype=DataType.VARCHAR, max_length=65535)\n", | |
| " schema.add_field(field_name=\"doc_embedding\", datatype=DataType.FLOAT_VECTOR, dim=384)\n", | |
| "\n", | |
| " # Create the collection\n", | |
| " milvus_client.create_collection(\n", | |
| " collection_name=COLLECTION_NAME,\n", | |
| " schema=schema,\n", | |
| " description=\"Medium Articles by Key\"\n", | |
| " )\n", | |
| "\n", | |
| " # Create index params\n", | |
| " index_params = [{\"field_name\": \"doc_embedding\",\"index_type\": \"IVF_FLAT\",\"metric_type\": \"L2\",\"params\": {\"nlist\": 128}},\n", | |
| " {\"field_name\": \"doc_primary_category\",\"index_type\": \"Trie\"}]\n", | |
| " \n", | |
| " # Create index\n", | |
| " milvus_client.create_index(COLLECTION_NAME, index_params)\n", | |
| "\n", | |
| " # List all the partitions created for this collection\n", | |
| " res = milvus_client.list_partitions(collection_name=COLLECTION_NAME)\n", | |
| " print(res)\n", | |
| "\n", | |
| " # Get current load state for the collection\n", | |
| " # collections must be loaded into RAM for access\n", | |
| " res = milvus_client.get_load_state(\n", | |
| " collection_name = COLLECTION_NAME\n", | |
| " )\n", | |
| " \n", | |
| " print(res)\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 48, | |
| "id": "a7a384ba-86fe-4df7-8086-d50a4158f271", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import feedparser\n", | |
| "from bs4 import BeautifulSoup\n", | |
| "\n", | |
| "# Function to remove HTML tags\n", | |
| "# TODO: Use an LLM to convert to Markdown or Plain Text\n", | |
| "# https://huggingface.co/jinaai/reader-lm-1.5b\n", | |
| "\n", | |
| "def remove_tags(html):\n", | |
| "\n", | |
| " # parse html content\n", | |
| " soup = BeautifulSoup(html, \"html.parser\")\n", | |
| "\n", | |
| " for data in soup(['style', 'script']):\n", | |
| " # Remove tags\n", | |
| " data.decompose()\n", | |
| "\n", | |
| " # return data by retrieving the tag content\n", | |
| " return ' '.join(soup.stripped_strings)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 21, | |
| "id": "763d98dd-cc2b-4d56-9461-bbfec7b39194", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Inserted document: tspann AIM Weekly 09 Sept 2024\n", | |
| "Inserted document: tspann Partitioning Collections by Name\n", | |
| "Inserted document: tspann Report: Building the Future of Startups Enhanced with Vector Databases and AI\n", | |
| "Inserted document: tspann AIM Weekly 02 September 2024\n", | |
| "Inserted document: tspann Utilizing Multiple Vectors and Advanced Search Data Model Design for City Data\n", | |
| "Inserted document: tspann AIM Weekly 26 August 2024\n", | |
| "Inserted document: tspann AIM Weekly 19-August-2024\n", | |
| "Inserted document: tspann What’s in the Air Tonight Mr. Milvus?\n", | |
| "Inserted document: tspann Report: 15 August 2025 — AI Camp\n", | |
| "Inserted document: tspann Report: AI and Vectors in The Sky\n", | |
| "Inserted document: milvusio Introducing PyMilvus Integration with Embedding Models\n", | |
| "Inserted document: milvusio Introducing Milvus Lite: Start Building a GenAI Application in Seconds\n", | |
| "Inserted document: milvusio Getting started with Milvus cluster and K8s\n", | |
| "Inserted document: milvusio Unveiling Milvus 2.4: Multi-vector Search, Sparse Vector, CAGRA Index, and More!\n", | |
| "Inserted document: milvusio Milvus Supports Imports of Apache Parquet Files for Enhanced Data Processing Efficiency\n", | |
| "Inserted document: milvusio Milvus in 2023: An Unprecedented Vector Database Amidst Tech Buzz\n", | |
| "Inserted document: milvusio Unveiling the Top 10 Keywords Dominating the Milvus Community in 2023\n", | |
| "Inserted document: milvusio Efficient Vector Similarity Search in Recommender Workflows Using Milvus with NVIDIA Merlin\n", | |
| "Inserted document: milvusio How to Get the Right Vector Embeddings\n", | |
| "Inserted document: milvusio How to Migrate Your Data to Milvus Seamlessly: A Comprehensive Guide\n", | |
| "Inserted document: zilliz_learn Introducing Comprehensive Monitoring & Observability in Zilliz Cloud\n", | |
| "Inserted document: zilliz_learn Milvus on GPUs with NVIDIA RAPIDS cuVS\n", | |
| "Inserted document: zilliz_learn The Critical Role of VectorDBs in Building Intelligent AI Agents\n", | |
| "Inserted document: zilliz_learn Implementing Agentic RAG Using Claude 3.5 Sonnet, LlamaIndex, and Milvus\n", | |
| "Inserted document: zilliz_learn Introducing Migration Services: Efficiently Move Unstructured Data Across Platforms\n", | |
| "Inserted document: zilliz_learn New for Zilliz Cloud: Migration Service, Fivetran Connector, Multi-replica, and More\n", | |
| "Inserted document: zilliz_learn Top 10 Best Multimodal AI Models You Should Know\n", | |
| "Inserted document: zilliz_learn Relational Databases vs Vector Databases\n", | |
| "Inserted document: zilliz_learn What is Computer Vision?\n", | |
| "Inserted document: zilliz_learn What is a Knowledge Graph (KG)?\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "urls = [ TSPANN_MEDIUM_URL, MILVUS_MEDIUM_URL, ZILLIZ_MEDIUM_URL]\n", | |
| "sources = {}\n", | |
| "sources[ TSPANN_MEDIUM_URL ] = TSPANN_SOURCE\n", | |
| "sources[ MILVUS_MEDIUM_URL ] = MILVUS_SOURCE\n", | |
| "sources[ ZILLIZ_MEDIUM_URL ] = ZILLIZ_SOURCE\n", | |
| "\n", | |
| "for url in urls:\n", | |
| " title = \"\"\n", | |
| " summary = \"\"\n", | |
| " link = \"\"\n", | |
| " publisheddate = \"\"\n", | |
| " author = \"\"\n", | |
| " tags = \"\"\n", | |
| " post = \"\"\n", | |
| " feed = \"\"\n", | |
| " docprimarycategory = \"\"\n", | |
| " feed = feedparser.parse(url)\n", | |
| "\n", | |
| " for post in feed.entries:\n", | |
| " try:\n", | |
| " # print(post)\n", | |
| " doc_source = str(sources[url])\n", | |
| " tags = \"\"\n", | |
| "\n", | |
| " docprimarycategory = str(post.tags[0].term)\n", | |
| "\n", | |
| " for tag in post.tags:\n", | |
| " tags = tags + str(tag.term) + \",\"\n", | |
| " author = str(post.author)\n", | |
| " summary = remove_tags(str(post.summary))\n", | |
| " title = str(post.title)\n", | |
| " link = str(post.link)\n", | |
| " publisheddate = str(post.published)\n", | |
| " \n", | |
| " entity = {\n", | |
| " \"doc_source\": doc_source,\n", | |
| " \"doc_primary_category\": docprimarycategory,\n", | |
| " \"doc_author\": author,\n", | |
| " \"doc_tags\": tags,\n", | |
| " \"doc_title\": title,\n", | |
| " \"doc_link\": link,\n", | |
| " \"doc_publisheddate\": publisheddate,\n", | |
| " \"doc_text\": summary,\n", | |
| " \"doc_embedding\": model(summary)\n", | |
| " }\n", | |
| " # Insert Entity into Milvus collection\n", | |
| " insert_result = milvus_client.insert(COLLECTION_NAME, [entity])\n", | |
| " print(f\"Inserted document: {doc_source} {title}\")\n", | |
| " except Exception as e: \n", | |
| " print(e)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 22, | |
| "id": "a151f840-91c7-41ab-896f-55143c262a78", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "{'state': <LoadState: Loaded>}\n", | |
| "tspann : AIM Weekly 02 September 2024 <ai,genai,open-source,vector-database,milvus,> on Tue, 03 Sep 2024 16:50:29 GMT https://medium.com/@tspann/aim-weekly-02-september-2024-07d67dfa3b17?source=rss-13e1ea7cf9ee------2\n", | |
| "\n", | |
| "tspann : Utilizing Multiple Vectors and Advanced Search Data Model Design for City Data <open-source,ai,vector-database,milvus,rags,> on Thu, 29 Aug 2024 15:04:37 GMT https://medium.com/@tspann/utilizing-multiple-vectors-and-advanced-search-data-model-design-for-city-data-705d68d8daf2?source=rss-13e1ea7cf9ee------2\n", | |
| "\n", | |
| "tspann : AIM Weekly 26 August 2024 <vector-database,open-source,milvus,ai,genai,> on Tue, 27 Aug 2024 15:31:47 GMT https://medium.com/@tspann/aim-weekly-26-august-2024-5337c4fb65e4?source=rss-13e1ea7cf9ee------2\n", | |
| "\n", | |
| "tspann : AIM Weekly 19-August-2024 <vector-database,open-source,genai,ai,milvus,> on Mon, 19 Aug 2024 14:33:11 GMT https://medium.com/@tspann/aim-weekly-19-august-2024-503acf97c302?source=rss-13e1ea7cf9ee------2\n", | |
| "\n", | |
| "tspann : What’s in the Air Tonight Mr. Milvus? <open-source,generative-ai-use-cases,milvus,air-quality,vector-database,> on Fri, 16 Aug 2024 21:58:03 GMT https://medium.com/@tspann/whats-in-the-air-tonight-mr-milvus-fbd42f06e482?source=rss-13e1ea7cf9ee------2\n", | |
| "\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Load the collection\n", | |
| "\n", | |
| "milvus_client.load_collection(COLLECTION_NAME)\n", | |
| "\n", | |
| "# Is the collection loaded?\n", | |
| "\n", | |
| "res = milvus_client.get_load_state(\n", | |
| " collection_name = COLLECTION_NAME\n", | |
| ")\n", | |
| "\n", | |
| "print(res)\n", | |
| "\n", | |
| "# Query the collection by scalar and display several fields, limit to 5 results\n", | |
| "query_results = milvus_client.query(\n", | |
| " collection_name=COLLECTION_NAME,\n", | |
| " filter='doc_text like \"%milvus%\"',\n", | |
| " output_fields=[\"doc_embedding\", \"doc_tags\",\"doc_title\",\"doc_link\",\"doc_text\",\"doc_publisheddate\", \"doc_source\"],\n", | |
| " limit=5\n", | |
| ")\n", | |
| "\n", | |
| "lastvector = None\n", | |
| "\n", | |
| "# Display some of the data\n", | |
| "# Grab a vector to use for search\n", | |
| "for result in query_results:\n", | |
| " lastvector = result['doc_embedding']\n", | |
| " print(f\"{result['doc_source']} : {result['doc_title']} <{result['doc_tags']}> on {result['doc_publisheddate']} {result['doc_link']}\\n\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 49, | |
| "id": "2f8b1c3c-5a2c-469d-a8df-913d8d472051", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "search latency: 0.1313 seconds\n", | |
| "\n", | |
| "\n", | |
| "-----------------------------------------------------------------------------------------------------------\n", | |
| "Distance: >> 0.0 << ID:452498223031342184\n", | |
| "Partition Key: [open-source] Tags: open-source,generative-ai-use-cases,milvus,air-quality,vector-database,\n", | |
| "Title: What’s in the Air Tonight Mr. Milvus?\n", | |
| "Link: https://medium.com/@tspann/whats-in-the-air-tonight-mr-milvus-fbd42f06e482?source=rss-13e1ea7cf9ee------2\n", | |
| "Source: tspann\n", | |
| "-----------------------------------------------------------------------------------------------------------\n", | |
| "Distance: >> 1.2359179258346558 << ID:452498223031342182\n", | |
| "Partition Key: [vector-database] Tags: vector-database,open-source,genai,ai,milvus,\n", | |
| "Title: AIM Weekly 19-August-2024\n", | |
| "Link: https://medium.com/@tspann/aim-weekly-19-august-2024-503acf97c302?source=rss-13e1ea7cf9ee------2\n", | |
| "Source: tspann\n", | |
| "-----------------------------------------------------------------------------------------------------------\n", | |
| "Distance: >> 1.2659069299697876 << ID:452498223031342180\n", | |
| "Partition Key: [vector-database] Tags: vector-database,open-source,milvus,ai,genai,\n", | |
| "Title: AIM Weekly 26 August 2024\n", | |
| "Link: https://medium.com/@tspann/aim-weekly-26-august-2024-5337c4fb65e4?source=rss-13e1ea7cf9ee------2\n", | |
| "Source: tspann\n", | |
| "-----------------------------------------------------------------------------------------------------------\n", | |
| "Distance: >> 1.3378362655639648 << ID:452498223031342190\n", | |
| "Partition Key: [open-source] Tags: open-source,milvus,artificial-intelligence,vector-database,data-science,\n", | |
| "Title: Introducing PyMilvus Integration with Embedding Models\n", | |
| "Link: https://medium.com/vector-database/introducing-pymilvus-integration-with-embedding-models-a82f10d516ea?source=rss-a31576809ee1------2\n", | |
| "Source: milvusio\n", | |
| "-----------------------------------------------------------------------------------------------------------\n", | |
| "Distance: >> 1.376387119293213 << ID:452498223031342178\n", | |
| "Partition Key: [open-source] Tags: open-source,ai,vector-database,milvus,rags,\n", | |
| "Title: Utilizing Multiple Vectors and Advanced Search Data Model Design for City Data\n", | |
| "Link: https://medium.com/@tspann/utilizing-multiple-vectors-and-advanced-search-data-model-design-for-city-data-705d68d8daf2?source=rss-13e1ea7cf9ee------2\n", | |
| "Source: tspann\n", | |
| "-----------------------------------------------------------------------------------------------------------\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "import time\n", | |
| "\n", | |
| "# Run a start and end time for our search\n", | |
| "# Search collection vector from above\n", | |
| "t0 = time.time()\n", | |
| "\n", | |
| "search_results = milvus_client.search(\n", | |
| " collection_name=COLLECTION_NAME,\n", | |
| " data=[lastvector],\n", | |
| " filter='doc_primary_category in [\"milvus\",\"open-source\",\"vector-database\"]',\n", | |
| " output_fields=[\"doc_primary_category\", \"doc_tags\",\"doc_title\",\"doc_link\",\"doc_publisheddate\",\"doc_text\", \"doc_source\"],\n", | |
| " search_params={\"metric_type\": \"L2\", \"params\": {\"nprobe\": 10}},\n", | |
| " limit=5\n", | |
| ")\n", | |
| "\n", | |
| "t1 = time.time()\n", | |
| "print(f\"search latency: {round(t1-t0, 4)} seconds\\n\\n\")\n", | |
| "print( '-----------------------------------------------------------------------------------------------------------')\n", | |
| "\n", | |
| "# -----------------------------------------------------------------------------\n", | |
| "# Iterate through last <limit> results and display scalars\n", | |
| "# -----------------------------------------------------------------------------\n", | |
| "for result in search_results:\n", | |
| " for hit in result[:5]:\n", | |
| " # --- print(hit)\n", | |
| " print( \"Distance: >> \" + str(hit[\"distance\"]) + \" << ID:\" + str(hit[\"id\"]) )\n", | |
| " print( \"Partition Key: [\" + hit[\"entity\"][\"doc_primary_category\"] + \"] Tags: \" + hit[\"entity\"][\"doc_tags\"] )\n", | |
| " print( \"Title: \" + hit[\"entity\"][\"doc_title\"] )\n", | |
| " print( \"Link: \" + hit[\"entity\"][\"doc_link\"] )\n", | |
| " print( \"Source: \" + hit[\"entity\"][\"doc_source\"] )\n", | |
| " print( '-----------------------------------------------------------------------------------------------------------')\n", | |
| " " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 50, | |
| "id": "252810e3-c471-4bb7-81b6-6139d42b6c86", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "data: [\"{'count(*)': 30}\"] , extra_info: {'cost': 6}\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Query the collection for count\n", | |
| "res = milvus_client.query(\n", | |
| " collection_name=COLLECTION_NAME,\n", | |
| " output_fields=[\"count(*)\"]\n", | |
| ")\n", | |
| "\n", | |
| "print(res)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 51, | |
| "id": "db0c7f08-63c2-44bb-8bf7-4214571bdc52", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "{'state': <LoadState: Loaded>}\n", | |
| "{'state': <LoadState: Loaded>}\n", | |
| "['_default_0', '_default_1', '_default_2', '_default_3', '_default_4', '_default_5', '_default_6', '_default_7', '_default_8', '_default_9', '_default_10', '_default_11', '_default_12', '_default_13', '_default_14', '_default_15']\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# Get load state for entire collection\n", | |
| "res = milvus_client.get_load_state(collection_name=COLLECTION_NAME)\n", | |
| "print(res)\n", | |
| "\n", | |
| "# Get load state for one of the partitions\n", | |
| "res = milvus_client.get_load_state(collection_name=COLLECTION_NAME, partition_name='_default_15')\n", | |
| "print(res)\n", | |
| "\n", | |
| "# List all the partitions for the collection\n", | |
| "res = milvus_client.list_partitions(collection_name=COLLECTION_NAME)\n", | |
| "print(res)" | |
| ] | |
| } | |
| ], | |
| "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", | |
| "version": "3.12.5" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment