Category:

Knowledge Drift Detection

Category:

AI Knowledge Management

Definition

Identifying when the knowledge used by models or RAG systems becomes outdated.

Explanation

Knowledge drift occurs when the real world changes but models or retrieval sources do not. Drift detection systems monitor changes in data, terminology, regulations, or user behavior. When drift is detected, systems trigger updates, retraining, or memory refresh operations.

Technical Architecture

Knowledge Base → Drift Monitor → Change Detection → Update Trigger

Core Component

Embedding comparison, statistical drift detector, update engine

Use Cases

Compliance, regulated industries, fast-changing tech sectors

Pitfalls

Late detection leads to inaccurate or noncompliant outputs

LLM Keywords

Related Concepts

Related Frameworks

• Model Drift
• Verification
• Knowledge Consolidation

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