Published in Vector Database for AI Applications·PinnedDesign and Practice of AI-oriented General-purpose Vector Database SystemsIn the era of Big Data, what database technologies and applications will come into the limelight? What will be the next game-changer? With unstructured data representing roughly 80–90% of all stored data, what are we supposed to do with these growing data lakes? One might think of using traditional analytical…Database13 min read
Published in Vector Database for AI Applications·PinnedWhat is a Vector Database?An introduction to the concepts related to vector database. By Frank Liu (@frankzliu)Data Science7 min read
Published in Vector Database for AI Applications·16 hours agoRaft or not? The Best Solution to Data Consistency in Cloud-native DatabasesThis article was written by Xiaofan Luan and transcreated by Angela Ni. Consensus-based replication is a widely-adopted strategy in many cloud-native, distributed databases. However, it has certain shortcomings and is definitely not the silver bullet. This post aims to first explain the concepts of replication, consistency, and consensus in a…Data Science8 min read
Published in Vector Database for AI Applications·6 days agoDeep Dive #8: What Powers Similarity Search in Milvus Vector Database?This article is written by Yudong Cai and translated by Angela Ni. As the core vector execution engine, Knowhere to Milvus is what an engine is to a sports car. This post introduces what Knowhere is, how it is different from Faiss, and how the code of Knowhere is structured. …Data Science7 min read
Published in Vector Database for AI Applications·May 5Deep Dive #7: How Does the Database Understand and Execute Your Query?This article is transcreated by Angela Ni. A vector query in Milvus is the process of retrieving vectors via scalar filtering based on boolean expression. With scalar filtering, users can limit their query results with certain conditions applied on attributes of data. For instance, if a user queries for films…Data Science7 min read
Published in Vector Database for AI Applications·Apr 25Deep Dive #6: Open Source Software (OSS) Quality Assurance — A Milvus Case StudyQuality assurance (QA) is a systematic process of determining whether a product or service meets certain requirements. A QA system is an indispensable part of the R&D process because, as its name suggests, it ensures that quality of the product. This post introduces the QA framework adopted in developing the…Tech11 min read
Published in Vector Database for AI Applications·Apr 22Write for Vector Database for AI ApplicationsJump to: · Who are we? · What topics can I write about? · How to submit an article? Who are we? Vector Database for AI Applications is a publication channel on Medium that shares insights into vector database technologies and applications. We aim to publish Database and AI technology-related articles and be…2 min read
Published in Vector Database for AI Applications·Apr 21Evolution of Milvus Cloud-scalable Vector DatabaseObjectives of Milvus vector database When the idea of the Milvus vector database first came to our minds, we wanted to build a data infrastructure that could help people accelerate AI adoptions in their organizations.Technology15 min read
Published in Vector Database for AI Applications·Apr 12A Small Step for Milvus — 10,000 StarsWe recently hit an incredible milestone in the journey of vector database — over 10K stars on the GitHub repo of Milvus. Thanks to each and every one of you who has supported us by giving us a star ⭐️. It has been a wonderful 2.5 years since Milvus became…Data Science2 min read
Published in Vector Database for AI Applications·Apr 11Deep Dive #5: Using the Milvus Vector Database for Real-Time QueryThis article is written by Xi Ge and transcreated by Angela Ni. In the previous post, we have talked about data insertion and data persistence in Milvus. In this article, we will continue to explain how different components in Milvus interact with each other to complete real-time data query. Some…Data Science6 min read
