Knowledge & Data · Software component

Chunk Metadata Extractor

Software componentKnowledge & DataKnowledge & Dataarc:ChunkMetadataExtractor

A transformation component that captures and normalizes contextual attributes, such as source, category, tags and timestamps, and attaches them to every chunk for filtered retrieval.

Responsibility. Attaches normalized source metadata to each chunk.

Also known as: Metadata extractor, Metadata normalizer

Direct neighbourhood (hover for relationship types)

Relationships

is configured by structural

Knowledge Chunk Metadata Schema Ch6.3A

invokes dependency

Entity Recognizer Ch6.3A

receives data from dynamic

Document Chunker abstract Ch6.3A

sends data to dynamic

Text Embedding Service Ch6.3A

is orchestrated by control

Ingestion Pipeline Orchestrator Ch6.3A

Design guidance

MUST propagate source-document metadata to every chunk so retrieval can apply metadata filters.
SHOULD normalize field names, value types and timestamps (ISO 8601) and supply defaults for missing fields.

Classification

Patterns: Per-chunk metadata threadingMetadata enrichment (NER, topic modeling, sentiment)
Quality attributes: Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)Maintainability (ISO/IEC 25010)

Sources

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.