RAG-Based Emotion-Aware Conversational Agent with Multilevel Sentiment and Pragmatic Contextual Analysis
Retrieval-Augmented Generation (RAG) has significantly reduced hallucination rates in Large Language (models, or LLMs). Standard RAG workflows (models, or LLMs) remain unfeeling to user affect, often giving responses which are true but emotionally inappropriate. This paper introduces an Emotion-Aware Conversational Age...