By combining the strengths of GraphRAG and vector RAG, Microsoft LazyGraphRAG helps organizations handle large datasets without high upfront costs. It postpones LLM summarization, uses lightweight graph structures, and scales via relevance test budgets. These improvements translate to much lower indexing expense, faster answer generation, and better quality across various types of queries.