Mapping the RAG landscape: a four-axis taxonomy of efficiency, defense, interactivity, and reasoning
Large Language Models (LLMs) have demonstrated remarkable fluency across many tasks but remain limited by their static, parameter-bound knowledge and their susceptibility to hallucinating information. Retrieval-Augmented Generation (RAG) addresses these issues by incorporating external retrieval into the generation pro...
Meghana Sunil, V. Shravya, Shravan Venkatraman et al.
· Artificial Intelligence Revi... · 0 citations