/ THE SHORT ANSWER
- 01Keep source systems authoritative and the index rebuildable.
- 02Carry provenance and permissions through ingestion and retrieval.
- 03Design update and deletion verification before launch.
/ dotSuper point of view
The index is not the knowledge. A trustworthy architecture preserves provenance and control from the answer back to the maintained source.
What the evidence says
OWASP’s guidance identifies sensitive-information disclosure and vector or embedding weaknesses among important LLM-application risks.
A practical decision framework
It is designed to make the decision inspectable, not to imitate a platform ranking formula, certification checklist, or legal test.
- Source layer: authoritative record, owner, version, policy, and lifecycle.
- Ingestion layer: parsing, chunking, metadata, permission, validation, and index status.
- Retrieval layer: identity-aware filtering, relevance, diversity, conflict, and freshness.
- Answer layer: evidence use, citation, refusal, escalation, feedback, and audit.
| Step | Decision to record |
|---|---|
| 01 | Source layer: authoritative record, owner, version, policy, and lifecycle. |
| 02 | Ingestion layer: parsing, chunking, metadata, permission, validation, and index status. |
| 03 | Retrieval layer: identity-aware filtering, relevance, diversity, conflict, and freshness. |
| 04 | Answer layer: evidence use, citation, refusal, escalation, feedback, and audit. |
How to put it into practice
Require an observable completion state and a reconciliation report.
Store generated summaries as derived artefacts with their source versions.
Do not allow a summary to silently become the authority for future answers.
- Name the accountable owner and the decision this work must enable.
- Record the current evidence, assumptions, exclusions, and next review trigger.
- Measure a useful outcome rather than treating publication or deployment as success.
What this page cannot conclude
- 01Architecture requirements vary with scale, data types, permissions, latency, and regulatory obligations.
- 02Citations improve traceability but do not prove that an answer correctly interprets the source.
- 03Publication, technical eligibility, or good practice cannot guarantee ranking, referral traffic, citation, adoption, or a business outcome.
Sources
- 01Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence ProfileNational Institute of Standards and Technology · accessed Aug 30, 2026
- 02OWASP Top 10 for LLM Applications 2025OWASP GenAI Security Project · accessed Aug 30, 2026
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/ CITE OR SHARE THIS GUIDE
Make the evidence easy to verify.
When you reference this guide, link to its canonical URL. That gives readers one stable place for the evidence, limitations and future updates.
dotSuper Research Desk. (August 30, 2026). AI Knowledge Base Architecture: Preserve the Source of Truth. dotSuper. https://dotsuper.net/feeds/applied-systems/ai-knowledge-base-source-of-truth-architecture