Optional modules

The core of cvcdocdb (Core primitives, Graph store interface, Backend-to-backend migration and the backends) is documented in the general part. The modules below build on it but are optional: import cvcdocdb doesn’t import them, and some need an extra (pip install "cvcdocdb[extra]"). Each page has its own installation notes, examples, tutorials and API.

Module	Install	What for
DRM semantic entities	(none)	DRM semantic entities: people, places, cultural documents, layouts…
RiC-O entities	(none)	RiC-O archival entities generated from the ontology
RDF / OWL ontology conversion	[rdf]	Convert RDF/OWL ontologies to a YAML schema and entity classes
Schema-based class generation	[schema]	Generate entity classes from a YAML schema
PyTorch / PyTorch Geometric dataloader	[torch]	Stream a graph into PyTorch / PyTorch Geometric
Natural-language queries on any backend (Text2Query)	as the translator	Natural-language questions on any backend (picks SPARQL or Cypher)
Natural-language queries (Text2Cypher)	[graphrag] on Neo4j only	Natural-language questions translated to Cypher by an LLM
Natural-language queries in SPARQL (Text2SPARQL)	(none)	Natural-language questions translated to SPARQL (JenaGraph)

• DRM semantic entities
• RiC-O entities
• RDF / OWL ontology conversion
• Schema-based class generation
• PyTorch / PyTorch Geometric dataloader
• Natural-language queries on any backend (Text2Query)
• Natural-language queries (Text2Cypher)
• Natural-language queries in SPARQL (Text2SPARQL)