Semantic Routing is an intelligent traffic management strategy that uses Embedding and similarity analysis to direct user queries to the most appropriate Large Language Model (LLM) or specialized workflow based on the intent and context of the prompt.

Unlike standard routing, which might rely on simple round-robin or latency-based rules, Semantic Routing evaluates the “meaning” of a request to determine if it should be handled by:

• A high-reasoning model (e.g., for complex coding),
• A cost-effective lightweight model (e.g., for simple chat),
• A specific RAG (Retrieval-Augmented Generation) pipeline.

By aligning the query’s complexity with the most suitable resource, an AI Gateway can drastically optimize operational costs as well as response quality.