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LLM-RAG-Eval is an LLM-powered evaluator for Retrieval Augmented Generation (RAG) pipelines, providing metrics to assess system performance. It reimplements RAGAS metrics using LangChain and DSPy, aiming to optimize them for specific application domains through active learning and human oversight.
AI named LLM-RAG-Eval from October 2025 to February 2026.