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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.
The following illustration depicts the interaction between SDKs and Milvus through gRPC. Imagine that Milvus is a black box. Protocol Buffers are used to define the interfaces of the server and the structure of the information they carry. Therefore, all operations in the black box Milvus are defined by Protocol API.
Milvus Protocol API consists of milvus.proto, common.proto, and schema.proto, which are Protocol Buffers files suffixed with .proto. SDKs must interact with Milvus with these Protocol Buffers files to ensure proper operation.
Data Insertion and Data Persistence in a Vector Database.
In the previous post in the Deep Dive series, we have introduced how data is processed in Milvus, the world’s most advanced vector database. This article will examine the components of data insertion, illustrate the data model in detail, and explain how data persistence is achieved in Milvus.
In the previous two posts in this blog series, we have already covered the system architecture of Milvus, the world's most advanced vector database, and its Python SDK and API.
This post mainly aims to help you understand how data is processed in Milvus by going deep into the Milvus system and examining the interaction between the data processing components.