Unlocking the Power of RAG - KMWorld

Retrieval Augmented Generation (RAG) has risen in popularity as a powerful technique for enhancing the performance of language models. By leveraging external information sources, such as large datasets and knowledge bases, RAG can improve the quality and contextual relevance of responses. This makes it a very compelling choice for GenAI applications.