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

large_Zilliz Blog VDB Series - 6.png

medium_Zilliz Blog VDB Series - 6.png

small_Zilliz Blog VDB Series - 6.png

thumbnail_Zilliz Blog VDB Series - 6.png

Zilliz Blog VDB Series - 6.png

Flat indexing and inverted file (IVF) indexes are two basic indexing strategies.

Vector Index Basics and the Inverted File Index

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

large_Zilliz Blog VDB Series - 4.png

medium_Zilliz Blog VDB Series - 4.png

small_Zilliz Blog VDB Series - 4.png

thumbnail_Zilliz Blog VDB Series - 4.png

Zilliz Blog VDB Series - 4.png

Vector similarity search explained through a word embedding example.

Introduction to Vector Similarity Search

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.

large_Zilliz Blog 20_Oct (1).png

medium_Zilliz Blog 20_Oct (1).png

small_Zilliz Blog 20_Oct (1).png

thumbnail_Zilliz Blog 20_Oct (1).png

Zilliz Blog 20_Oct (1).png

Everything you should know about clustering.

Understanding K Means Clustering in Machine Learning

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

large_Zilliz Blog VDB Series - 3.png

medium_Zilliz Blog VDB Series - 3.png

small_Zilliz Blog VDB Series - 3.png

thumbnail_Zilliz Blog VDB Series - 3.png

Zilliz Blog VDB Series - 3.png

Getting started with Milvus - the world's most popular open-source vector database.

Milvus Quickstart: Install Milvus Vector Database in 5 Minutes

KNN is a supervised machine learning technique and algorithm used for classification and regression. Here's an article on what KNN algorithm is and how it works.

large_Zilliz Blog 14_Oct.png

medium_Zilliz Blog 14_Oct.png

small_Zilliz Blog 14_Oct.png

thumbnail_Zilliz Blog 14_Oct.png

Zilliz Blog 14_Oct.png

KNN is a supervised machine learning technique and algorithm used for classification and regression. 

What is K-Nearest Neighbors (KNN) Algorithm in Machine Learning? An Essential Guide 

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

large_Zilliz Blog VDB Series - 2.png

medium_Zilliz Blog VDB Series - 2.png

small_Zilliz Blog VDB Series - 2.png

thumbnail_Zilliz Blog VDB Series - 2.png

Zilliz Blog VDB Series - 2.png

How we built the world's most popular open-source vector database.

Introduction to Milvus Vector Database

The ever-increasing amount of unstructured data requires a paradigm shift and a new category of database management system - the vector database.


Vector Database 101

large_Zilliz Blog VDB Series - 1.png

medium_Zilliz Blog VDB Series - 1.png

small_Zilliz Blog VDB Series - 1.png

thumbnail_Zilliz Blog VDB Series - 1.png

Zilliz Blog VDB Series - 1.png

An introduction to the concepts related to vector database.

What is a Vector Database?

Search algorithms rely on semantic similarity to retrieve the most relevant results. With the CLIP model, the semantics of texts and images can be connected in a high-dimensional vector space. Read this simple introduction to see how CLIP can help you build a powerful text-to-image service.

large_zilliz blog 16.png

medium_zilliz blog 16.png

small_zilliz blog 16.png

thumbnail_zilliz blog 16.png

zilliz blog 16.png

Understanding search algorithms, CLIP, and text-to-image services

From Text to Image: Fundamentals of CLIP

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

large_Zilliz Blog VDB Series.png

medium_Zilliz Blog VDB Series.png

small_Zilliz Blog VDB Series.png

thumbnail_Zilliz Blog VDB Series.png

Zilliz Blog VDB Series.png

Everything about unstructured data - what they are, how they differ from traditional data types, and the paradigm shift called for by the need to efficiently process them.

Introduction to Unstructured Data

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.

large_Zilliz Blog 20.png

medium_Zilliz Blog 20.png

small_Zilliz Blog 20.png

thumbnail_Zilliz Blog 20.png

Zilliz Blog 20.png

The design of Manu, a cloud-native vector database transcends the philosophies of traditional database management systems. 

Anatomy of A Cloud Native Vector Database Management System 

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

large_blog cover.png

medium_blog cover.png

small_blog cover.png

thumbnail_blog cover.png

blog cover.png

ArXiv Scientific Papers Vector Similarity Search with Milvus 2.1

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.

large_cloud.png

medium_cloud.png

small_cloud.png

thumbnail_cloud.png

cloud.png

Zilliz Cloud, a fully-managed vector database service built around Milvus, is now in private preview and available for free to select customers. 

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

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.

large_Podcast-AI Supercharge.png

medium_Podcast-AI Supercharge.png

small_Podcast-AI Supercharge.png

thumbnail_Podcast-AI Supercharge.png

Podcast-AI Supercharge.png

Frank Liu shares how vector databases tackle data challenges on That Digital Show.

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

Feder allows you to visualize the indexing and search process during a reverse image search. See how it visualizes vector similarity search with an example of searching with IVF_FLAT index.

Applications of Vector Similarity Search

large_Zilliz Blog 3.png

medium_Zilliz Blog 3.png

small_Zilliz Blog 3.png

thumbnail_Zilliz Blog 3.png

Zilliz Blog 3.png

See how image vectors are clustered in the vector space.

Visualize Reverse Image Search with Feder

Consensus-based replication is a widely-adopted strategy in many cloud-native, distributed databases. However, it is not a perfect solution. 


large_Zilliz Blog 2.png

medium_Zilliz Blog 2.png

small_Zilliz Blog 2.png

thumbnail_Zilliz Blog 2.png

Zilliz Blog 2.png

Why consensus-based replication algorithm is not the silver bullet for achieving data consistency in distributed databases?

Raft or not? The Best Solution to Data Consistency in Cloud-native Databases

We are happy to announce the release of Feder, a powerful visualization tool that can help you see the actual structure of an index and the whole process of a vector similarity search.

large_Zilliz Blog 1.png

medium_Zilliz Blog 1.png

small_Zilliz Blog 1.png

thumbnail_Zilliz Blog 1.png

Zilliz Blog 1.png

See the actual structure of an index and the whole process of a vector similarity search.

Feder: A Powerful Visualization Tool for Vector Similarity Search

This article is dedicated to going a bit more in-depth into embeddings/embedding vectors, along with how they are used in modern ML algorithms and pipelines.

large_Zilliz Blog 4.png

medium_Zilliz Blog 4.png

small_Zilliz Blog 4.png

thumbnail_Zilliz Blog 4.png

Zilliz Blog 4.png

What are embeddings and how are they used in modern ML algorithms and pipelines

Understanding Neural Network Embeddings

We aim to supercharge the development of applications that require embeddings and other ML tasks.

large_Zilliz Blog 5.png

medium_Zilliz Blog 5.png

small_Zilliz Blog 5.png

thumbnail_Zilliz Blog 5.png

Zilliz Blog 5.png

Making Machine Learning More Accessible for Application Developers

From Siri to chatbots, the applications of natural language processing are ubiquitous in our daily life. Learn about 7 models that represent the state of the art of NLP.


large_Zilliz Blog 6.png

medium_Zilliz Blog 6.png

small_Zilliz Blog 6.png

thumbnail_Zilliz Blog 6.png

Zilliz Blog 6.png

Cheatsheet for BERT, XLNet, RoBERTa, ALBERT, StructBERT, T5, and ELECTRA.

7 Basic NLP Models to Empower Your ML Application

Without vector indexing, many modern applications of AI would be prohibitively slow. Discover how indexes dramatically accelerate vector similarity search, different types of indexes, and how to choose the right index for your next AI application.


large_Zilliz Blog 7.png

medium_Zilliz Blog 7.png

small_Zilliz Blog 7.png

thumbnail_Zilliz Blog 7.png

Zilliz Blog 7.png

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

Accelerating Similarity Search on Really Big Data with Vector Indexing (Part II)

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.

large_Zilliz Blog 8.png

medium_Zilliz Blog 8.png

small_Zilliz Blog 8.png

thumbnail_Zilliz Blog 8.png

Zilliz Blog 8.png

Attu - a Milvus GUI Tool.

Manage Your Milvus Vector Database with One-click Simplicity

NLP makes our lives much easier. Learn about all the basics of NLP, including its applications, algorithms, and more.

large_Zilliz Blog 10.png

medium_Zilliz Blog 10.png

small_Zilliz Blog 10.png

thumbnail_Zilliz Blog 10.png

Zilliz Blog 10.png

From Siri to chatbots, from virtual support agents to knowledge graphs, the applications NLP are ubiquitous in our daily life.

Top 5 Real-World Applications for Natural Language Processing

Building a Blazing Fast, Highly Scalable Text-to-Image Search with CLIP embeddings and Milvus, the most advanced open-source vector database.

large_Zilliz Blog 11.png

medium_Zilliz Blog 11.png

small_Zilliz Blog 11.png

thumbnail_Zilliz Blog 11.png

Zilliz Blog 11.png

Blazing Fast, Highly Scalable Text-to-Image Search with CLIP embeddings and Milvus

Supercharged Semantic Similarity Search in Production

Discover ways to extract useful information from unstructured data sources in a scalable manner by the use of “embeddings.”

large_Zilliz Blog 12.png

medium_Zilliz Blog 12.png

small_Zilliz Blog 12.png

thumbnail_Zilliz Blog 12.png

Zilliz Blog 12.png

Easiest ways to perform image-to-image and text-to-image similarity search.

Powering Semantic Similarity Search in Computer Vision with State of the Art Embeddings

Zilliz team has won the first place in the Disk-based ANN Search track in NeurIPS 2021. The performance of BBAnn developed by Zilliz research team peaked during the search in the SimSearchNet++ dataset.

large_Zilliz Blog 13.png

medium_Zilliz Blog 13.png

small_Zilliz Blog 13.png

thumbnail_Zilliz Blog 13.png

Zilliz Blog 13.png

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

Learn how to use vector similarity search to build an automated solution for identifying and filtering out duplicate video content from archive storage.

Learn how to use a vector database to build an intelligent video deduplication system.

Building an Intelligent Video Deduplication System Powered by Vector Similarity Search