qdrant-scaling-data-volume
Scaling Data Volume
This document covers data volume scaling scenarios, where the total size of the dataset exceeds the capacity of a single node.
Tenant Scaling
If the use case is multi-tenant, meaning that each user only has access to a subset of the data, and we never need to query across all the data, then we can use multi-tenancy patterns to scale.
The recommended way is to use multi-tenant workloads with payload partitioning, per-tenant indexes, and tiered multitenancy.
Learn more Tenant Scaling
Sliding Time Window
Some use-cases are based on a sliding time window, where only the most recent data is relevant. For example an index for social media posts, where only the last 6 months of data require fast search.
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