Multi-Tenant Vector Database — Isolated Search Per Customer

I will design and implement a multi-tenant vector database architecture — ensuring complete data isolation between tenants, optimising for your tenant count and data volume distribution, and implementing the right isolation strategy (namespace-per-tenant, collection-per-tenant, or metadata-filtered isolation) for your scale and security requirements. Multi-tenant vector database architecture involves tradeoffs that aren't obvious — namespace-per-tenant provides perfect isolation but limits total tenant count in some stores, metadata-filtered isolation scales to any tenant count but requires careful query-level enforcement to prevent cross-tenant leakage, and collection-per-tenant creates operational complexity at large tenant counts; the right choice depends on your specific scale and security requirements.

The implementation covers isolation strategy selection with rationale, per-tenant namespace or collection setup, query-level tenant enforcement, cross-tenant leakage testing, tenant provisioning automation, and a management interface for tenant administration.