Graph RAG with the Oracle Database
Traditional Retrieval Augmented Generation (RAG) relies on semantic search to retrieve relevant information from unstructured text documents. However, additional details based on relationships between data entities, which may not be semantically connected in general but are connected in the document, can make the search and generation more accurate. Graph RAG explicitly extracts entities and relationships from the unstructured text and represents them as a structured knowledge graph.
Target Audience: Entwickler, Architekten, Führungskräfte, Datenanalysten
Prerequisites: Keine
Level: Basic
Karin Patenge is a Product Manager for Oracle's Spatial and Graph Technologies. She works closely with customers, partners, and tech communities in Europe and the Middle East. She engages with developers, solution architects, data engineers & analysts to bring added value to their projects by integrating spatial and graph capabilities into solution architectures.
Karin has a master's degree in Computer Science, studying in Romania and Germany, and has followed the UNIGIS postgraduate study program of the University of Salzburg in Austria. She is based in Berlin, Germany, and collaborates closely with Oracle´s Spatial and Graph development teams.
She enjoys kayaking rivers, lakes, and seas and spending time outdoors, preferably with family and friends, as much as possible during her time off.
