Beyond Retrieval: The Expanding Universe of Augmented Generation in AI
Introduction Standard large language models (LLMs) possess vast knowledge but struggle with limitations like hallucinations and accessing real-time information due to their static training data. This has spurred the development of dynamic AI architectures. Retrieval-Augmented Generation (RAG) has emerged as a key solution, integrating external knowledge into the generation process. However, the field is rapidly evolving beyond basic RAG. Newer models like RASG (Retrieval-Augmented Self-Generate