Traditional Retrieval Augmented Generation (RAG) approaches often fail in production due to a fragile architecture cobbled together from many different tools, leading to inaccuracies and system breakdowns.
Traditional Retrieval Augmented Generation (RAG) approaches often fail in production due to a fragile architecture cobbled together from many different tools, leading to inaccuracies and system breakdowns.