Conference
Aug 2026
Retrieval-Augmented Generation (RAG): Architectures, Evaluation Metrics, and Security Challenges in Large Language Models
Retrieval-Augmented Generation (RAG) is a sophisticated approach employed to enhance the efficiency of Large Language Models (LLMs). Most of the existing LLMs primarily rely on pre-trained data, which can be either obsolete or insufficient at times, hence providing suboptimal outcomes. To mitigate this problem, RAG beg...
Asker Shariff Subahan, S. Khan, Sourav Sarkar et al.
· 2026 International Conferenc... · 0 citations