Two-Stage Routing
A mainstream industrial architecture for agent skill routing consisting of a coarse filtering stage and a fine selection stage. The first stage uses vector retrieval to quickly narrow the full skill set to a Top-K candidate set; the second stage uses an LLM to make a precise selection from candidates, balancing recall, accuracy, and cost efficiency.
Timeline (last 90 days)
The mainstream paradigm in industry for handling large-scale Agent skills is a two-stage routing approach of "coarse filtering followed by fine selection": retrieval for low-cost coarse filtering and a large model for high-precision fine selection.
When the total number of Agent skills is only in the tens, having the model judge directly is simpler and more accurate than a two-stage architecture; the two-stage approach is designed for large-scale scenarios.
All Facts (2)
The mainstream paradigm in industry for handling large-scale Agent skills is a two-stage routing approach of "coarse filtering followed by fine selection": retrieval for low-cost coarse filtering and a large model for high-precision fine selection.
50%UnverifiedWhen the total number of Agent skills is only in the tens, having the model judge directly is simpler and more accurate than a two-stage architecture; the two-stage approach is designed for large-scale scenarios.
50%