Jitender Singh
Manager Data Science, Publicis Sapient, India
Publications
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Research Article
Cost-Efficient Secure Hybrid RAG Assessment
Author(s): Jitender Singh*
This paper presents a cost-effective and scalable hybrid methodology for evaluating retrieval-augmented generation (RAG) systems using specialized pretrained models and advanced metrics, designed for critical domains like healthcare and finance. LLM judge-based evaluation approaches are hindered by significant score inconsistencies across identical input runs (up to 35% variations) and high computational costs while traditional NLP approaches, overly reliant on entity or phrase matching, lack a multi-faceted perspective and fail to capture deeper semantic understanding. Our methodology addresses these challenges with a novel approach that combines an ensemble of fine-tuned pretrained models and advanced NLP techniques, ensuring consistent, reproducible evaluations across multiple dimensions, while being tailored for offline scenarios to eliminate reliance on internet-connected systems.. Read More»