Agentic AI Reference Architecture

Knowledge & Data · Model asset

NER Model

Model assetKnowledge & DataKnowledge & Dataarc:NERModel

A trained transformer model that classifies text spans into named-entity types.

Responsibility. Classifies text spans into entity types.

Also known as: Entity Recognition Model

is trained bydeployed ondeployed onFine-Tuning Pipeline: is trained byFine-Tuning PipelineNER PII Detector: deployed onNER PII DetectorEntity Recognizer: deployed onEntity Recognizer
Direct neighbourhood (hover for relationship types)

Relationships

deployed on structural

is trained by lifecycle

Design guidance

Classification

Technologies
spaCy en_core_web_lg (OntoNotes)NVIDIA NeMo
Quality attributes
Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)

Sources

  1. Ch1.7A: T. Nguyen, "Relational Reasoning with Knowledge Graphs - The Fundamentals, Integration, and Extraction," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 1.7A. ISBN: 9798244538229.
  2. Ch5.8: T. Nguyen, "Semantic Memory," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.8. ISBN: 9798244538229.
  3. Ch7.5: T. Nguyen, "NeMo Curator, Riva Speech AI & Multimodal Integration," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 7.5. ISBN: 9798244538229.