Rag Optimization

RAG optimization refers to the process of fine-tuning Retrieval-Augmented Generation models to improve their performance and accuracy in generating relevant and context-specific text. As startups increasingly leverage AI-powered language models to drive innovation and efficiency, RAG optimization has become a crucial aspect of developing reliable and effective language generation capabilities that can be integrated into various applications, from chatbots and content generation tools to virtual assistants and more.