How does RAG Improve Accuracy of Generative AI Applications? Retrieval-Augmented #Generation (RAG) improves the accuracy of #generative AI applications by enabling language models to access and retrieve relevant information from trusted #data sources such as #product catalogs, business documents, #databases, and knowledge bases. Instead of relying solely on pre-trained knowledge, the #model uses real-time data to generate more accurate, context-aware, and up-to-date responses. As part of advanced generative #AI services, #RAG helps reduce hallucinations, enhance response quality, and deliver reliable outputs tailored to specific business requirements and user queries. https://webkul.com/generative-ai-services-and-solutions/