SearchUnifyFRAG (Fragmented Retrieval Augmented Generation) is an advanced approach designed to optimize Large Language Models (LLMs) for context-aware and personalized support experiences. By combining retrieval-based methods with generative AI, SearchUnifyFRAG enables more accurate, relevant, and timely responses in customer interactions. This approach enhances conversational AI experiences, making them more dynamic and human-like, which leads to higher customer satisfaction and engagement. Learn More
![SearchUnify’s [F]RAG Approach - Enabling Context-aware, Personalized and Efficient Conversational AI Experiences](https://www.searchunify.com/wp-content/uploads/2023/08/searchunifys-frag-approach-enabling-context-aware-personalized-and-efficient-conversational-ai-experiences.jpg)
