Retrieval systems: compliance checkpoints before production

Retrieval-augmented generation (RAG) is now the default pattern for enterprise assistants that must reference proprietary documents. The engineering work is tractable; the organizational risk remains under-specified. First Matrix LLC routinely addresses the same questions from security, legal, and operations leads—condensed here as a public checkpoint list.

1. Coverage and provenance

Before launch, enumerate which corpora are in scope, their owners, refresh cadence, and whether derived artifacts (chunk boundaries, summaries) may leak policy boundaries. Incomplete coverage is acceptable when paired with transparent “missing context” behaviours rather than hallucinated substitutes.

2. Grounding evidence vs. narration

Establish whether assistant outputs must include verifiable excerpts or structured citations—even if end-users rarely read them. This single decision dictates prompt structure, moderation layers, logging volume, and post-incident forensic usefulness.

3. Policy on uncertainty

Governance-friendly systems escalate when retrieval confidence sinks or contradictory passages appear. Document the exact fallback path (human routing, ticketing, scripted refusal wording) ahead of uptime reviews—not after the first escalation.

4. Data minimization in prompts

Each retrieval pass should carry the smallest sufficient context window. Repeated over-collection into third-party inference APIs expands breach blast radius—especially across multi-tenant gateways.

5. Retention and reproducibility

Decide early whether transcripts, retrieved chunks, and model versions are persisted for audit sampling. Regulatory contexts differ; ambiguity here blocks later model upgrades because teams cannot reconstruct historical behaviour.