2 docs tagged with "rag"

Key Point: Vectorless, reasoning-based RAG that simulates human expert document navigation. No vector DB, no chunking, just hierarchical tree-based retrieval with 98.7% accuracy on FinanceBench.

RAGAS is a comprehensive framework for evaluating Retrieval-Augmented Generation (RAG) systems. It provides a suite of metrics to assess the quality of RAG pipelines, helping developers and researchers understand how well their systems perform across different dimensions.