Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG): Enhancing AI with Contextual Knowledge Introduction In order to generate precise, contextually relevant, and factually supported outputs, Retrieval-Augmented Generation (RAG), a hybrid artificial intelligence framework, combines the advantages of retrieval-based systems and generative models, such as large language models (LLMs). By incorporating external data retrieval into the generation process, RAG overcomes the …