Retrieval-augmented generation (RAG) in AI is a sophisticated method that enhances the accuracy and contextual relevance of AI responses by combining data retrieval with language generation capabilities. Unlike traditional models that depend solely on pre-trained knowledge, RAG systems actively pull information from external sources or databases, allowing for responses that are ground... https://www.solulab.com/rag-app-development-and-its-applications-in-ai/