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Structuring content metadata, dynamic fields, relationships and retrieval filters.
Structuring content metadata, dynamic fields, relationships and retrieval filters.
The generic content_type_fields/content_relationships design.
The generic content_type_fields/content_relationships design.
Metadata Modeling covers how content types, dynamic fields, and retrieval filters are structured so a system can query and relate content without hardcoded ass…
Metadata Modeling
Designing the schema layer for content systems: defining content types, their fields, and the relationships between them in a way that stays flexible at query time. Active skill, applied at a strong level.
Where it's been used
The primary application is Alex CMS — a Next.js CMS built around a fully dynamic content-type registry. No post models are hardcoded; content types and their fields are defined through the metadata model itself, which is what makes the registry work.
Why this connects to other work
Good metadata modeling is also what makes retrieval reliable. The same field and relationship design that powers Alex CMS feeds into RAG and knowledge retrieval work — structured metadata gives a retrieval system something precise to filter and rank against, rather than treating all content as undifferentiated text.