Retrieval-Augmented Generation (RAG) in Knowledge Management: Overcoming Challenges for Contextual Accuracy in GenAI
In recent years, Retrieval-Augmented Generation (RAG) has emerged as a powerful tool to enhance the performance of Generative AI (GenAI) systems. By combining the capabilities of large language models with external data retrieval, RAG can significantly improve the quality and contextual accuracy of AI-generated responses. However, despite its potential, RAG on its own is not … Read more