Agentic AI Reference Architecture

Knowledge & Data · Software component

Semantic Boundary Chunker

Software componentKnowledge & DataKnowledge & Dataarc:SemanticBoundaryChunker

A document chunker that splits text at semantic boundaries such as section headers and paragraph breaks, targeting an average chunk size.

Responsibility. Produces semantically coherent text chunks aligned to document structure.

Also known as: Semantic chunking, Boundary-seeking chunker

Variant of Document Chunker abstract

When to choose. Choose for text documents with structure, splitting at section headers and paragraph breaks rather than arbitrary token counts.

sends data tospecializesis routed to byis target of alternativeTois target of alternativeTois configured byis target of alternativeToalternative toText Embedding Service: sends data toText Embedding ServiceDocument Chunker: specializesDocument ChunkerMultimodal Content Router: is routed to byMultimodal Content RouterOverlapping Window Chunker: is target of alternativeToOverlapping Window ChunkerFixed-Length Chunker: is target of alternativeToFixed-Length ChunkerMultimodal Chunk Metadata Schema: is configured byMultimodal Chunk Metadat…Hierarchical Chunker: is target of alternativeToHierarchical ChunkerTopic-Shift Chunker: alternative toTopic-Shift Chunker
Direct neighbourhood (hover for relationship types)

Relationships

is configured by structural

is routed to by dynamic

sends data to dynamic

alternative to variability

Design guidance

Quantitative guidance

As stated by the sources; verify before use.

Classification

Patterns
Semantic chunking
Quality attributes
Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)
Risks mitigated
Chunks fracturing semantic units

Sources

  1. Ch2.7: T. Nguyen, "Multimodal RAG Approaches," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 2.7. ISBN: 9798244538229.
  2. Ch3.10: T. Nguyen, "Efficiency Metrics," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 3.10. ISBN: 9798244538229.
  3. 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.
  4. Ch6.3A: T. Nguyen, "ETL Pipeline Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.3A. ISBN: 9798244538229.
  5. 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.