Articles


In this article, we will continue to explain how different components in Milvus interact with each other to complete real-time data queries.

Some useful resources before getting started are listed below. We recommend reading them first to better understand the topic in this post.

Source de l’article sur DZONE

Milvus is an open-source vector database for AI applications. It provides a variety of installation methods, including building from source code and installing Milvus with Docker Compose/Helm/APT/YUM/Ansible. Users can choose one of the installation methods depending on their operating systems and preferences. However, there are many data scientists and AI engineers in the Milvus community who work with Python and yearn for a much simpler installation method than the currently available ones.

Therefore, we released embedded Milvus, a user-friendly Python version, along with Milvus 2.1 to empower more Python developers in our community. This article introduces what embedded Milvus is and provides instructions on how to install and use it.

Source de l’article sur DZONE

Quality assurance (QA) is a systematic process of determining whether a product or service meets specific requirements. A QA system is an indispensable part of the R&D process because, as its name suggests, it ensures the quality of the product.

This post introduces the QA framework adopted in developing the Milvus vector database, providing a guideline for contributing developers and users to participate in the process. It will also cover the major test modules in Milvus and methods and tools that can be leveraged to improve the efficiency of QA testings.

Source de l’article sur DZONE

In previous blog articles, we have successively introduced the deletion, bitset, and compaction functions in Milvus 2.0. To culminate this series, we would like to share the design behind load balance, a vital function in the distributed cluster of Milvus.

Usage

Milvus 2.0 supports automatic load balance by default. But you can still trigger load balance manually. Please note that only sealed segments can be transferred across query nodes.

Source de l’article sur DZONE

Sound is an information-dense data type. Although it may feel antiquated in the era of video content, audio remains a primary information source for many people. Despite long-term decline in listeners, 83% of Americans ages 12 or older listened to terrestrial (AM/FM) radio in a given week in 2020 (down from 89% in 2019). Conversely, online audio has seen a steady rise in listeners over the past two decades, with 62% of Americans reportedly listening to some form of it on a weekly basis according to the same Pew Research Center study.

As a wave, sound includes four properties: frequency, amplitude, waveform, and duration. In musical terminology, these are called pitch, dynamics, tone, and duration. Sounds also help humans and other animals perceive and understand our environment, providing context clues for the location and movement of objects in our surroundings.

Source de l’article sur DZONE