NOT KNOWN FACTS ABOUT RAG RETRIEVAL AUGMENTED GENERATION

continually checking and evaluating RAG effectiveness guard versus hallucinations and method degradation. It bridges the hole between retrieval designs and generative designs in NLP, enabling the sourcing of specific data through text generation which was a limitation of common language styles​​. In summary, RAG is a robust approach that comb