Data
This chapter focuses on data operations.
Collection [READ MORE]
On Zilliz Cloud, a collection is a table used to hold vector embeddings and their metadata. In this chapter, you will learn the definition and related concepts of the collection with relevant demonstrations.
Schema & Data Fields [READ MORE]
A schema defines the data structure of a collection and determines the names, order, data types, and related attributes of the collection fields. This chapter mainly discusses the schema and related concepts.
Insert & Delete [READ MORE]
This chapter focuses on the insert, upsert, and delete operations.
Manage Indexes [READ MORE]
Learn how to manipulate indexes on vector and scalar fields via SDKs.
Search [READ MORE]
Zilliz Cloud implements vector-based similarity searches and provides multiple optimizations to improve search efficiency and performance. In this chapter, you will learn the principles and tutorials of various vector search methods available on Zilliz Cloud.
Reranking [READ MORE]
Hybrid Search achieves more precise search results through multiple simultaneous ANN searches. Multiple searches return several sets of results, which require a reranking strategy to help merge and reorder the results and return a single set of results. This guide will introduce the reranking strategies supported by Zilliz Cloud and provide tips for selecting the appropriate reranking strategy.
Import & Export [READ MORE]
This chapter covers the common procedures for you to import data into and export data from Zilliz Cloud clusters.
Extract, Transform, and Load [READ MORE]
This chapter covers the common procedures for you to extract, transform, and load data from external data sources and use it with Zilliz Cloud.
Manage Stages [READ MORE]
A stage is an intermediate storage spot where you can hold your data for further processing, such as data merging, migration, or importing. This page explains what a stage is on Zilliz Cloud and how you can use it when managing your data there.