Challenges and Solutions in Implementing Retrieval-Augmented Generation (RAG)
Among all the contemporary approaches in the field of artificial intelligence, Retrieval-Augmented Generation (RAG) can be considered one of the most effective. Thus, by incorporating the retrieval mechanisms into the generative models, RAG improves the generation process and provides more accurate and contextually relevant outputs. However, getting to efficient RAG implementation is not without its…