Dagstuhl-Seminar — Managing Vector Data for Retrieval Augmented Generation: Systems and Algorithms

Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model (LLM), so it references an authoritative knowledge base outside of its training data sources before generating a response. RAG and VectorDBs are two important concepts in natural language processing (NLP) and multi-modal data management that are pushing the boundaries of what AI systems can achieve. This Dagstuhl Seminar aims to bring together researchers from the emerging areas of RAG, VectorDBs, systems, and applications – providing opportunities for interdisciplinary progress.