The collection is the most important concept on Zilliz Cloud. Almost everything is related to a collection. Learn about how to perform CRUD operations within your collections.
Create Collection [READ MORE]
This tutorial will guide you through the steps to set up a collection for your cluster. You can find the detailed explanations about collections, schema, and index here.
Manage Index [READ MORE]
Utilize vector indexes as metadata structures in Zilliz Cloud to enhance vector similarity search performance. An index must be created prior to performing ANN searches on a Zilliz Cloud cluster.
Insert Entities [READ MORE]
An entity represents a basic data unit within a collection. It embodies a member of a specific class, such as a book in a library or a gene in a genome. Entities in a collection share the same set of attributes, which we refer to as the schema.
Upsert Entities [READ MORE]
This topic describes how to upsert data into a collection in Zilliz Cloud.
Delete Entities [READ MORE]
Entities on Zilliz Cloud refer to data objects stored in a cluster, containing data for processing, search, and queries. If an entity is no longer needed, you can perform operations to delete it.
Search, Query, and Get [READ MORE]
This guide walks you through performing nearest-neighbor searches and queries. A search involves looking for the closest vector to a given vector in a collection, while a query filters out entities that match a certain condition.
Conduct a Range Search [READ MORE]
Understanding how to filter your search results by the proximity of entities is crucial in vector operations. A range search serves this exact purpose by narrowing down results according to the distance between a query vector and vectors. This guide will walk you through the process of conducting a range search in Zilliz Cloud, which consists of a vector similarity search followed by distance-based filtering.
Search and Query with Iterators [READ MORE]
This guide is designed to help you search and query large datasets using the power of iterators. Below, you'll find step-by-step instructions on how to effectively use iterators for better performance and simplicity in your data operations.
Search and Query with Advanced Expressions [READ MORE]
This guide will walk you through the necessary steps and provide examples to help you use advanced expressions count() and json_contains() within Zilliz Cloud for search or query operations.
Use Partitions [READ MORE]
Data partitioning is a technique used to organize data based on certain criteria. With data partitioning, you can create, load, release, and drop partitions separately, as well as conduct searches and queries within them.
Use Dynamic Field [READ MORE]
This page explains how to use the dynamic field in a collection for flexible data insertion and retrieval.
Use Partition Key [READ MORE]
This guide walks you through using partition key to accelerate data retrieval from your collection.
Use JSON Fields [READ MORE]
Drop Collection [READ MORE]
This guide walks you through dropping a collection from a cluster.