The accuracy and reliability of generative AI models can be improved by the facts obtained from external sources, and the technique used for fetching them is called retrieval-augmented generation (RAG). For a simple understanding, let’s say that a good large language model (LLM) can answer a wide range of human queries. But for credible answers,
