Retrieval-Augmented-Generation Using Ontology Descriptions of Graph-Based Data
This goal of this project is to use Retrieval-Augmented-Generation (RAG) to efficiently search a noSQL (Google Firestore) augmented with Graph-Based (Neo4J) Resource Description Framework (RDF) database. The foundation of the project is based on the fact that each of the database objects and each of the RDF instances that are derived from the database are decribed by an ontology. The information using to create the RAG data is derived from this ontology description.