Author: Suro Senen

Large language models have established themselves as remarkable text generators, yet they continue to battle a well-documented and persistent vulnerability: hallucinations. When operating without direct access to verified, up-to-date information, these models frequently produce plausible-sounding answers that are fundamentally incorrect. To combat this limitation, Retrieval-Augmented Generation, commonly known as RAG, emerged as the standard industry…