Multi-Tenant Partitioning & RBAC

Multi-Tenant Partitioning & Role-Based Access Control (RBAC) enforces strict physical/logical isolation and granular access authorization across B2B SaaS customers and sensitive enterprise departments (HR, Legal, Finance); the security architecture encompasses: 1) Vector Store Partitioning tiers (Metadata Filtering with strict `tenant_id` invariants, Namespace/Collection isolation, or dedicated physical clusters); 2) Chunk-Level RBAC ACL Inheritance, embedding user/group ACL permissions directly into chunk payloads during ingestion; 3) Pre-Filtering Retrieval Authorization, where the user's cryptographically verified JWT IAM claims are injected into vector search predicates upfront before ANN execution.

Multi-tenant enterprise LLM assistants, B2B knowledge management SaaS, and compliance-sensitive financial/healthcare RAG portals.

Post-Filtering (filtering after retrieval) can drop all Top-K candidates due to permission blocks, returning empty answers or leaking metadata titles; Pre-Filtering guarantees zero cross-tenant leakage and absolute compliance.

Compare Metadata Filtering, Collection Namespaces, and Physical Cluster Isolation across cost, isolation security, and query latency?

Why does secure RAG mandate Pre-Filtering (ACL masking during HNSW graph traversal) rather than Post-Filtering after candidate generation?

Design IAM token parsing at the gateway that flattens LDAP/Active Directory organizational hierarchies into chunk-level ACL filters?

How to handle immediate permission revocation upon employee departures without re-embedding millions of vector chunks?

Design tamper-proof audit logging and AES-256 encryption at rest/transit to pass SOC2 and GDPR multi-tenant enterprise audits?