qdrant-scaling

name	qdrant-scaling
description	How to handle scaling of Qdrant, including horizontal and vertical scaling strategies, sharding, replication, and load balancing. Use when you want to scale your Qdrant deployment to handle increased load or larger datasets.
allowed-tools	["Read","Grep","Glob"]

Qdrant Scaling

Qdrant is designed to handle both large datasets and high query loads, and provides different scaling options to meet the needs of different use cases. This document navigates through different scenarios of scaling Qdrant, required in different use cases.

Scaling for larger data volume

Vertical vs Horizontal Scaling

Resharding

Scaling for higher RPS

Scaling for lower latency

Scaling tenants

Scaling for time window rotation