Prompt

What should I use for permission-aware retrieval in an enterprise app?

Artificial Intelligence / AI Search1 observationLast seen Oct 10, 2026

Latest observation

Oct 10, 2026OpenAI APIWeb search: off

For permission-aware retrieval in an enterprise app, the best choice is usually a hybrid approach:

Recommended pattern

Use a retrieval layer that supports ACLs/entitlements natively or via metadata filtering, plus authorization checks at query time.

Good options

  • Search/vector DB with metadata filters

    • Store document-level permissions as metadata:
      • tenant_id
      • department
      • user_ids
      • group_ids
      • roles
    • At retrieval time, filter by the requesting user’s allowed scope.
    • Works well for RAG, search, and document lookup.
  • Relational DB + row-level security (RLS)

    • Best when your data is structured and strongly permissioned.
    • Enforce access at the database layer, not just in app code.
    • Great for enterprise apps where auditability matters.
  • Dedicated authorization service

    • Use something like a policy engine to decide “can user X access object Y?”
    • Common choices in enterprise architectures:
      • OPA (Open Policy Agent)
      • SpiceDB / Zanzibar-style systems
      • AWS Verified Permissions
    • This is ideal when permissions are complex and change often.

If you mean retrieval for RAG/AI apps

Use:

  1. Index documents with ACL metadata
  2. Filter retrieval by permissions before ranking
  3. Optionally re-check authorization on the final candidates
  4. Never rely only on the LLM to enforce access

That gives you both relevance and security.

Practical recommendation

  • Simple app: DB row-level security or metadata filters
  • Complex enterprise app: policy engine + filtered retrieval
  • RAG/search app: vector DB or search engine with permission metadata + authz check

What not to do

  • Don’t retrieve everything and hope the model “won’t reveal” unauthorized data.
  • Don’t enforce permissions only in the frontend.
  • Don’t depend on prompt instructions for security.

If you tell me your stack (e.g. Postgres, Elasticsearch, Pinecone, OpenSearch, FAISS, etc.) and whether this is for search, RAG, or app data access, I can recommend a concrete setup.

Observation history

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