Tobias Schimanski

DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation

2025

Retrieval Augmented Generation (RAG) is widely employed to ground responses to queries on domain-specific documents. But do RAG implementations leave out important information when answering queries that need an integrated analysis of information (e.g., Tell …