rag-paradigms

This paper presents a controlled scaling study comparing lexical, dense, graph-based, and agentic RAG paradigms across corpus sizes from 1,000 to 512,000 documents, finding that BM25 provides the best accuracy-cost tradeoff, while graph-based RAG faces high construction costs that limit scalability.