TL;DR
An orchestration technique that analyzes the semantic meaning of a user query to dynamically direct it to the most efficient and cost-effective AI model tier.
Semantic routing acts as an intelligent intermediary layer in multi-model deployment pipelines. By converting incoming user queries into lightweight vector embeddings, the router quickly classifies the level of complexity or intent behind a request. It then dynamically dispatches the query to a specialized small model, a cache, or a large reasoning model, eliminating unnecessary computing overhead.
Why this matters for your business
It dramatically reduces operational inference costs and response latency by reserving expensive models purely when semantic complexity requires them.
