Agentic AI Reference Architecture

Observability & Evaluation · Software component

Embedding Drift Monitor

Software componentObservability & EvaluationObservability & Evaluationarc:EmbeddingDriftMonitor

A monitoring component that tracks distribution statistics of generated embeddings, such as mean vector norm and per-dimension variance, and flags sudden changes.

Responsibility. Detects embedding model or input-encoding faults before invalid vectors populate the knowledge base.

Also known as: Embedding quality metrics tracking

sends data tomonitorsAlert Manager: sends data toAlert ManagerText Embedding Service: monitorsText Embedding Service
Direct neighbourhood (hover for relationship types)

Relationships

sends data to dynamic

monitors assurance

Classification

Risks mitigated
Knowledge base populated with invalid embeddingsIncorrectly loaded embedding modelChanged input encoding

Sources

  1. Ch6.3B: T. Nguyen, "ETL Worked Example - Load Phase & Pipeline Integration," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.3B. ISBN: 9798244538229.