Multi-Tenant RAG ACL & Security

The Multi-Tenant Enterprise RAG Access Control (RBAC/ACL) & Security Isolation Architecture enforces strict data confidentiality boundaries across enterprise organizations, mathematically preventing unauthorized cross-tenant data leakage; the 3 isolation paradigms comprise: 1) Physical Collection/DB Isolation (dedicated vector collections per enterprise tenant, maximum GDPR/HIPAA compliance, suitable for enterprise tier accounts); 2) Partition/Namespace Isolation (shared clusters with dynamic partition keys); 3) Metadata Payload Pre-Filtering (attaching mandatory security constraints to every vector query: `filter: { tenant_id: 'org_123', acl_groups: { $in: user_roles } }`); integrated with security gateways validating cryptographic JWT claims to eliminate prompt injection bypasses.

Multi-department enterprise intranets (HR compensation strictly isolated from engineering), B2B multi-tenant GenAI SaaS platforms, and healthcare data sandboxes.

Naive RAG architectures dump all organization documents into a single global vector index, allowing junior staff to semantic-search confidential executive salaries; multi-tenant ACL guarantees absolute zero-leakage security boundaries.

Contrast Physical Collection isolation vs Partition Keys vs Payload filtering across infrastructure costs, multi-tenant scalability, and compliance?

Explain why post-filtering triggers recall collapse when ACL masks 99% of documents, and how HNSW pre-filtering resolves it?

How to synchronize hierarchical LDAP/Active Directory permission groups into vector metadata for real-time ACL evaluation?

Design a cascade deletion pipeline satisfying GDPR Right to be Forgotten across vector indices, keyword stores, and semantic caches?

How to design context boundary isolation preventing untrusted low-privileged retrieved text from executing indirect injection exploits?