Agentic AI Reference Architecture

Knowledge & Data · Software component

Neural Relation Extractor

Software componentKnowledge & DataKnowledge & Dataarc:NeuralRelationExtractor

A relation extractor using a classifier trained on annotated corpora to recognize semantic relationships beyond syntactic structure.

Responsibility. Classifies implicit relationships using a trained neural model.

Also known as: BERT-based Relation Classifier

Variant of Relation Extractor abstract

When to choose. Choose when implicit relationships (e.g., appositives like 'Google, a major Anthropic investor') must be captured for higher recall.

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Direct neighbourhood (hover for relationship types)

Relationships

alternative to variability

Classification

Technologies
BERT-based classifiers
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.