AI Search Framework That Teaches AI Models To Think Like Experts
Cisco, Thursday, January 29th, 2026
For researchers, analysts, and security professionals alike, the ability to quickly and accurately retrieve relevant information is critical. Yet, as our information landscape grows, so do the challenges of traditional search methods.
The Cisco Foundation AI team introduces a novel approach to information retrieval designed to tackle the shortcomings of current search.
The Challenge with Current Search
Often, when we search for information, especially for complex topics, our initial queries might not hit the mark. Traditional search engines, while powerful, typically operate on a 'one-shot' principle: you ask a question, and it gives you results. If those results aren't quite right, it's up to you to reformulate your query and try again. This process can be inefficient and frustrating, particularly when dealing with nuanced or multi-faceted information needs.