Qdrant has released Qdrant 1.16, an update of the Qdrant open source vector database that introduces tiered multitenancy, a capability intended to help isolate heavy-traffic tenants, boost performance, and scale search workloads more efficiently.
Announced November 19, Qdrant 1.16 also offers ACORN, a search algorithm that improves the quality of filtered vector search in cases of multiple filters with weak selectivity, Qdrant said. To upgrade, users can go to Qdrant Cloud, then go to the Cluster Details screen and select Qdrant 1.16 from the dropdown menu.
With tiered multitenancy, users get an improved approach to multitenancy that enables the combining of small and large tenants in a single collection, with the ability to promote growing tenants to dedicated shards, Qdrant said. Multitenancy is a common requirement for SaaS applications, where multiple customers, or tenants, share a database instance. When an instance is shared between multiple users in Qdrant, vectors may need to be partitioned by the user. The main principles behind tiered multitenancy are user-defined sharding, fallback shards, and tenant promotion, Qdrant said. User-defined sharding enables users to create named shards within a collection, allowing large tenants to be isolated in their own shards. Fallback shards are a routing mechanism that allows Qdrant to route a request to a dedicated shard or shared fallback shard. Tenant promotion is a mechanism that allows tenants to be changed from a shared fallback shard to their own dedicated shard when they have grown large enough.
