Semantic Routing
A mechanism that dispatches requests to the most appropriate downstream processing node based on their semantic content. Analogous to network-layer load balancing, it relies on the meaning of natural language or multimodal content rather than fixed rules, and is commonly used for request dispatching and cost optimization in AI inference pipelines.
Timeline (last 90 days)
Keyword routing relies on a preset vocabulary to match intents and is fragile to synonymous rewording and colloquial expressions; semantic routing is implemented through vector similarity or LLM classification, at the cost of added latency and expense.
Semantic routing refers to the mechanism of dispatching requests to the most appropriate downstream processing node based on the semantic content of the request
A semantic routing architecture can route high-frequency simple requests to small models and complex requests to large models, creating a dynamic balance between cost and quality
All Facts (3)
Keyword routing relies on a preset vocabulary to match intents and is fragile to synonymous rewording and colloquial expressions; semantic routing is implemented through vector similarity or LLM classification, at the cost of added latency and expense.
50%UnverifiedSemantic routing refers to the mechanism of dispatching requests to the most appropriate downstream processing node based on the semantic content of the request
50%UnverifiedA semantic routing architecture can route high-frequency simple requests to small models and complex requests to large models, creating a dynamic balance between cost and quality
50%