Researchers have developed a method to build cost-efficient enterprise Retrieval-Augmented Generation (RAG) applications using the Intel Gaudi 2 and Intel Xeon. The approach leverages the parallel processing capabilities of these hardware platforms to accelerate RAG operations, reducing costs associated with large-scale language models. According to the authors, this method can be used in various industries such as healthcare, finance, and customer service. --- Why it matters: This matters because it provides a more affordable solution for enterprises to implement RAG applications, which are essential for tasks like information retrieval, question answering, and text summarization. By reducing costs, companies can adopt these technologies more widely, driving innovation in industries that rely heavily on language processing. Source: https://huggingface.co/blog/cost-efficient-rag-applications-with-intel