Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training

Artyom Sorokin, Nazar Buzun, Alexander Anokhin +7

Retrieval-Augmented Generation (RAG) methods enhance LLM performance by efficiently filtering relevant context for LLMs, reducing hallucinations and inference cost. However, most e…