Learn how Tokopedia used semantic search to make their search 10x smarter

Zilliz

How we used semantic search to make our search 10x smarter

The finance industry has long leveraged open-source software to extract insights from large, unstructured datasets. Discover how Milvus, an open-source vector database, can power AI applications including banking chatbots, recommender systems, and semantic text mining. 

Accelerating AI in Finance with Milvus, an Open-Source Vector Database

Use ONNX to process multiple models of CV (computer vision), and combine multiple models with Milvus for similar vector retrieval to get similar images.

Combine AI Models for Image Search using ONNX and Milvus

Zilliz team has won the first place in the Disk-based ANN Search track in NeurIPS 2021. 

Zilliz Triumphed in Billion-Scale ANN Search Challenge of NeurIPS 2021

Withdrew from Oracle to zero in on unstructured data processing


Zilliz CEO Shared Start-up Experience in 2021 SYNC

We are proud to announce that we'll be providing embedding model integrations - a way to connect your Milvus and/or Zilliz Cloud database to open source or paid embedding models.

How to Integrate OpenAI Embedding API with Zilliz Cloud

In the era of Big Data, what database technologies and applications will come into the limelight? What will be the next game-changer?

Frustrated with New Data? Our Vector Database can Help

This simple guide walks you through using your vector database to store and search your structured data.

Using Your Vector Database as a JSON (or Relational) Datastore

K-means clustering, K-means algorithm, K-means clustering algorithm - want to know more about them? This article has everything you should know about clustering.

Understanding K-means Clustering Algorithm in Machine Learning

This tutorial analyzes the components of a modern indexer before going over two simplest indexing strategies - flat indexing and inverted file (IVF) indexes.

Everything You Need to Know about Vector Index Basics

Applied ML & AI for Database Systems and Application

Zilliz attended VLDB Workshop 2021

How Does Milvus Schedule Query Tasks

VOVA, an emerging e-commerce platform, prioritizes convenient and positive user experiences. Learn how the company used Milvus to build an image search tool to help shoppers find items they encounter in real life.

Building a Search by Image Shopping Experience with VOVA and Milvus

Building an Intelligent QA System with NLP and Milvus

Milvus vector database supports two modes of deployments: standalone and cluster. 

Milvus Quickstart: Install Milvus Vector Database in 5 Minutes

Learn how Kingsoft leveraged Milvus, an open-source similarity search engine, to build a recommendation engine for WPS Office’s AI-powered writing assistant.

Building an AI-Powered Writing Assistant for WPS Office

Here at Zilliz, we take data security very seriously. Learn how Zilliz Cloud protects your data.

How Zilliz Cloud Protects Your Data

Learn how to build a Milvus cluster based on JuiceFS, a shared file system designed for cloud-native environments.

Building a Milvus Cluster Based on JuiceFS

Zilliz launched Attu - a GUI tool designed specifically for Milvus 2.0. You can use the intuitive Attu web console to manage your vector database in a simple and straightforward manner.

Manage Your Milvus Vector Database with One-click Simplicity

Learn more about using semantic machine learning methodologies to power more relevant search results across your organization.

Build Semantic Search at Speed

Use Milvus, an open-source vector database, to recognize gene families of DNA sequences. Less space but higher accuracy.

DNA Sequence Classification based on Milvus

The HM-ANN algorithm for graph-based similarity search offers distinct advantages over existing state-of-the-art ANN search solutions.

Paper Reading｜HM-ANN: When ANNS Meets Heterogeneous Memory

This article introduces Milvus_CLI and helps you complete common tasks.

Get started with Milvus_CLI

Searching for videos by image with Milvus

4 Steps to Building a Video Search System

Learn what vector search is and the metrics pertinent to decide the distance (or similarity) between objects.

Introduction to Vector Similarity Search

iYUNDONG continually seeks to support its users with real-time image retrieval services. When it decided to develop its App, it chose Milvus to build its core image search system. Discover how Milvus, an open-source vector database, can help build an intelligent image retrieval system that can extract sport event highlights.

Extracting Event Highlights Using iYUNDONG Sports App

Artificial Intelligence Offers a New Way to Find Your View in the CMA Collection

ArtLens AI: Share Your View

Zilliz tells the story about building the world's very first open-source vector database, Milvus. The start, the pivotal, and the future.

Introduction to Milvus Vector Database

Zilliz Cloud's new features drive huge business impact for real-world use cases like autonomous agents, recommenders, and AI-powered drug discovery. 

The Best Vector Database Just Got Better

The Journey to Optimizing Billion-scale Image Search (1/2)

How to run molecular structure similarity analysis in Milvus

Accelerating New Drug Discovery

Run semantic search queries on ~640K papers in <50ms using Dask, SBERT SPECTRE, and Milvus Vector database

ArXiv Scientific Papers Vector Similarity Search with Milvus 2.1

My stories with machine learning, vector searching, and Zilliz

Frank Liu: Why I Joined a Vector Database Company

A hands-on dive into scalar quantization (integer quantization) and product quantization with Python.

Scalar Quantization and Product Quantization

#Learn what ANN (Artificial Neural Networks) in Machine Learning are used for, how ANNs work and more.

All You Need to Know About  ANN Machine Learning

The next-generation vector databases should be equipped with long-term evolvability, tunable consistency, good elasticity, and high performance. The cloud-native architecture and data processing workflow of Manu makes it perfectly suitable for unstructured data search and analytics.

Anatomy of A Cloud Native Vector Database Management System 

What are vector databases? How do they differ from traditional databases? How can vector databases help companies from enterprises to startups? Find all that and more in the podcast interview with Frank Liu at Zilliz.

Podcast: Using AI to Supercharge Data-Driven Applications with Zilliz

KNN is a supervised machine learning technique and algorithm for classification and regression. This post is the ultimate guide to KNN. 

What is the K-Nearest Neighbors (KNN) Algorithm in Machine Learning?

How to build a deep learning powered recommender system

Building Personalized Recommender Systems with Milvus and PaddlePaddle

How to Select Index Parameters for IVF Index

Wanyin App is an AI-based music sharing community with an intention to encourage music sharing and make music composition easier for music enthusiasts.

Item-based Collaborative Filtering for Music Recommender System

DiskANN is an advanced method for index building and searching on a billion-scale dataset using a single machine with 64GB of RAM and a large enough SSD. 

DiskANN: A Disk-based ANNS Solution with High Recall and High QPS on Billion-scale Dataset

The Journey to Optimizing Billion-scale Image Search (2/2)

This article explains the concept of machine learning operations, or MLOps, and how Milvus advances MLOps programs of varying complexity.

Operationalize AI at Scale with Software 2.0, MLOps, and Milvus

Milvus accelerates machine learning application development and machine learning operations (MLOps). With Milvus, you can rapidly develop a minimum viable product (MVP) while keeping costs at lower limits.

How to Make 4 Popular AI Applications with Milvus

Zilliz Cloud is a fully-managed vector database service that unlocks powerful similarity search for enterprise users with easy deployment and high-level security. Apply for early access now.

Introducing Zilliz Cloud : Fully-managed Vector Database Cloud Service in Preview

Discover how indexes dramatically accelerate vector similarity search, different index types, and how to choose the right index for your next ML application. 

Accelerating Similarity Search on Really Big Data with Vector Indexing

Discover how to build a recommender system with open-source tools and data.

Building a Graph-based Recommendation System with Milvus, PinSage, DGL, and MovieLens Datasets

An interview with Charles Xie on unstructured data 

Making Sense of Unstructured Data with Zilliz Founder and CEO Charles Xie

the minimal workflow of a recommender system

Accelerating Candidate Generation in Recommender Systems Using Milvus paired with PaddlePaddle

Buckle up for the first tutorial in our Vector Database 101 series and untangle the intricacy around Milvus with us every week. 

Introduction to Unstructured Data

Learn how Milvus is used to mitigate threats to critical data and strengthen cybersecurity with real-time virus detection.

Making with Milvus: Detecting Android Viruses in Real Time for Trend Micro

Artificial intelligence influences what we read, the things we buy, who we become friends with, and more everyday human behavior. A huge part of what makes many modern AI applications possible is vector similarity search. Understanding how this underlying technology works can help demystify AI, providing insight into what computer intelligence is really made of. 

Vector Similarity Search Hides in Plain View

A new and improved Milvus bootcamp offers updated guides and easier to follow code examples. Discover how to create your own similarity search solutions with the world's most advanced vector database.

Quickly Test and Deploy Vector Search Solutions with the Milvus 2.0 Bootcamp

Beike wanted to create a personalized home search experience. Discover how they leveraged Milvus to build an intelligent real estate search platform capable of providing tailored recommendations in near real-time. 

Making With Milvus: AI-Infused Proptech for Personalized Real Estate Search

Discover how dependency decoupling & containerization can be used to accelerate compilation times for large-scale AI and MLOps projects. 

Accelerating Compilation 2.5X with Dependency Decoupling & Testing Containerization

Discover how Xiaomi leveraged AI and Milvus to build an intelligent news recommendation system capable of finding the most relevant content for users of its mobile web browser. 