Retrieval-Augmented Generation (RAG) presents a robust Resolution to sophisticated issues that standard big language types (LLMs) wrestle with, significantly in situations involving extensive amounts of unstructured details. 1 these types of trouble is the ability to have interaction in meaningful conversations about specific files or multimedia co