Agentic AI Reference Architecture

Knowledge & Data · Software component

Referential Integrity Validator

Software componentKnowledge & DataKnowledge & Dataarc:ReferentialIntegrityValidator

A validator that checks that document cross-references, internal links, citations and referenced IDs resolve to existing documents and that relationships agree across sources.

Responsibility. Detects broken or conflicting cross-document references.

Also known as: Cross-reference validation, Reference validation

is orchestrated byreadswritesIngestion Pipeline Orchestrator: is orchestrated byIngestion Pipeline Orche…Knowledge Graph Store: readsKnowledge Graph StoreData Validation Result Store: writesData Validation Result S…
Direct neighbourhood (hover for relationship types)

Relationships

reads dependency

writes dependency

is orchestrated by control

Design guidance

Classification

Patterns
Graph traversal integrity queries
Technologies
Graph databases
Quality attributes
Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)
Risks mitigated
Broken references creating dead-ends in multi-hop reasoningReferential inconsistency across catalog and specification systemsCitation format errors breaking case-precedent links

Sources

  1. Ch6.4: T. Nguyen, "Data Quality Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.4. ISBN: 9798244538229.