Recently, two Chinese scholars from the Georgia Institute of Technology and NVIDIA have proposed a new fine-tuning framework called RankRAG. This framework greatly simplifies the complex RAG pipeline, enabling the same Large Language Model (LLM) to perform retrieval, ranking, and generation tasks, resulting in a significant performance improvement.RAG (Retrieval-Augmented Generation) is a commonly used technique in LLM deployment, especially suitable for text generation tasks that require a larg