Lost in the Middle

Lost in the middle describes the observed tendency of language models to use information at the beginning or end of a long context more reliably than material buried in the middle. In RAG this means passage ordering matters: placing the most relevant retrieved chunks at the edges of the context, rather than the center, can measurably improve answer quality and reduce overlooked evidence.