This page may contain stale information. Last updated: 2026-08-02
Definition
The context gap is the distance between what AI systems can access in enterprise systems and what they understand about how the business actually operates — causing over-retrieval, token waste, and lower trust.
Key Points
- Term used by modus founders (Daniel Shimoni, Tomer Mesika)
- Motivation for context-warehouse products
- Distinct from pure RAG/vector-DB scaling narratives