Source Document Schema

Data artifactKnowledge & DataKnowledge & Dataarc:SourceDocumentSchema

A formal data contract listing the required fields, data types and constraints (e.g., title, content, date, source) that every document must satisfy to enter the ingestion pipeline.

Responsibility. Defines the structure incoming documents must conform to.

Also known as: Document schema, Schema definition, Data contract, Curation input schema

Direct neighbourhood (hover for relationship types)

Relationships

configures structural

Design guidance

SHOULD declare required fields and non-null constraints so records missing critical attributes are rejected.

Quantitative guidance

As stated by the sources; verify before use.

Example SLA: 99.9% conformance to schema definitions (Ch6.4).

Classification

Patterns: Schema enforcement at ingestionZero-tolerance format conformance
Technologies: JSON SchemaXML SchemaTyped database table definitions
Quality attributes: Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)Compatibility (ISO/IEC 25010)
Risks mitigated: Format and type violationsField-level incompleteness

Sources

Ch6.4: T. Nguyen, "Data Quality Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.4. ISBN: 9798244538229.
Ch7.5: T. Nguyen, "NeMo Curator, Riva Speech AI & Multimodal Integration," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 7.5. ISBN: 9798244538229.