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Examples

  1. CSV with Multiple Tabular Sources
  2. JSON with Self-Reference Vertices
  3. CSV with Edge Weights and Multiple Relations
  4. Neo4j Ingestion with Dynamic Relations from Keys
  5. 🚀 PostgreSQL Schema Inference and Ingestion - Automatically infer graph schemas from normalized PostgreSQL databases (3NF) with proper primary keys (PK) and foreign keys (FK). Uses intelligent heuristics to detect vertices and edges - no manual schema definition needed! Perfect for migrating relational data to graph databases.
  6. 🔗 RDF / Turtle Ingestion with Explicit Resource Mapping - Infer graph schemas from OWL ontologies and ingest RDF data using explicit SparqlConnector resource mapping. Supports local Turtle files and remote SPARQL endpoints. Perfect for knowledge graph pipelines built on semantic web standards.
  7. Polymorphic Objects and Relations — Route polymorphic entities and dynamic relations using vertex_router and edge_router. One objects table (Person, Vehicle, Institution) and one relations table (EMPLOYED_BY, OWNS, FUNDS, etc.) map to a rich graph with type discriminators and relation_map.