Agentic AI Reference Architecture

Knowledge & Data · Software component

Data Quality Gate

Software componentKnowledge & DataKnowledge & Dataarc:DataQualityGate

An enforcement component that applies accept, flag or reject policy to validation results per document and per batch, keeping enforcement separate from validation logic.

Responsibility. Decides whether validated data may proceed into the knowledge base.

Also known as: Enforcement policy, Batch rejection gate

guardsreceives data fromescalates towritessends data tois configured byVector Index Store: guardsVector Index StoreData Quality Validator: receives data fromData Quality ValidatorData Quality Reviewer: escalates toData Quality ReviewerData Quality Review Queue: writesData Quality Review QueueData Format Normalizer: sends data toData Format NormalizerData Quality SLA Specification: is configured byData Quality SLA Specifi…
Direct neighbourhood (hover for relationship types)

Relationships

is configured by structural

writes dependency

escalates to dynamic

receives data from dynamic

sends data to dynamic

guards control

Design guidance

Quantitative guidance

As stated by the sources; verify before use.

Classification

Patterns
Severity-based enforcementBatch-level threshold rejection
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
Bad batches entering the corpusLosing valuable content to binary accept/reject

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.