Retrieval-Augmented Generation (RAG) systems have emerged as a powerful approach to significantly enhance the capabilities of language models. By seamlessly integrating document retrieval with text ...

What if the very method you rely on to simplify information is actually sabotaging your results? Imagine a Retrieval-Augmented Generation (RAG) system tasked with answering a critical question from a ...

A new study from Google researchers introduces "sufficient context," a novel perspective for understanding and improving retrieval augmented generation (RAG) systems in large language models (LLMs).