Artyom Sorokin

Q-RAG method enables efficient multi-step retrieval for LLMs up to 10M tokens

Researchers have introduced Q-RAG, a novel method for enhancing Retrieval-Augmented Generation (RAG) systems. This approach utilizes reinforcement learning to fine-tune the embedder model for multi-step retrieval, a mor…