AI search framework that teaches AI models to think like experts

The Cisco Foundation AI team introduces a novel approach to information retrieval designed to tackle the shortcomings of current search. At its core, our framework empowers compact models (from 350M – 1.2B parameters) to:Learn diverse search strategies: Through a process of observing and learning from various search behaviors, the framework models understand how to approach different types of queries. Through a process of observing and learning from various search behaviors, the framework models understand how to approach different types of queries. Refine queries based on feedback: The system learns to adjust its search queries dynamically, incorporating insights from previously retrieved documents. The system learns to adjust its search queries dynamically, incorporating insights from previously retrieved documents.