AI Engineering
Lost in the Middle
- Definition
- The phenomenon where LLMs process information in the middle of long contexts worse than at the beginning or end. Documented by Liu et al. (2024) and confirmed by Chroma Research (2025). Requires strategic placement of critical information in context.
- Category
- AI Engineering
- Related terms
- Context RotContext Engineering
Deep Dive: Lost in the Middle
The phenomenon where LLMs process information in the middle of long contexts worse than at the beginning or end. Documented by Liu et al. (2024) and confirmed by Chroma Research (2025). Requires strategic placement of critical information in context.
Business Value & ROI
Why it matters for 2026
Critical for RAG systems and long-document analysis. Proper information placement can improve accuracy by 20-30% without any model changes.
We structure all our context packets with Lost-in-the-Middle in mind – critical information at start AND end, with the 'Bracket Pattern' for non-negotiable constraints.
Production-Ready Guardrails