qdrant-multitenancy
SkillGuides tenant isolation architecture in Qdrant for multi-tenant or multi-user applications. Use when someone asks 'how to isolate customer data', 'how to build multi-tenant search/RAG', 'how many collections should I create', 'how to partition tenants by payload', 'a customer's data legally has to s
Install
git clone https://github.com/qdrant/skills.git ~/.claude/skills/qdrant-multitenancyWhat is qdrant-multitenancy?
Guides tenant isolation architecture in Qdrant for multi-tenant or multi-user applications. Use when someone asks 'how to isolate customer data', 'how to build multi-tenant search/RAG', 'how many collections should I create', 'how to partition tenants by payload', 'a customer's data legally has to stay in a certain country or region'. Also use when they describe a symptom: one customer's data is way bigger than the rest and slowing everyone down, or one tenant is hogging resources.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~122 tokens of context used while enabled, before you invoke anything
Documentation
README · ~4 min readQdrant Multitenancy
Multitenancy is how you isolate data across multiple users or tenants within a single Qdrant deployment.
- The question to ask is: how many tenants, and how unevenly sized are they? That answer picks the isolation strategy.
- Understand the three isolation levels before choosing: payload-based, shard-based and collection-based.
- For almost everyone the right default is a single collection partitioned by payload, NOT a collection per tenant.
Many Small Tenants (Default: Payload Partitioning)
Use when: you have many tenants of roughly similar, modest size. This is the recommended default for most users.
One collection holds every tenant. A payload field marks ownership, and a filter on that field at query time is what isolates each tenant's results.
How It Works
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