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)
Vela 3.0 merges routing decisions and segment extraction into a single call.
Semantic routing is usually deployed at the request entry point and is latency-sensitive, so model size and number of calls directly determine its usability.
In traditional semantic routing systems, the routing decision and segment extraction are usually two separate steps.
Semantic routing refers to the gateway performing lightweight classification on each incoming prompt, judging whether it is a low-complexity task or a high-complexity task, and completing the routing decision within milliseconds.
An 80/15/5 hybrid routing plus caching strategy can reduce per-session cost to $0.16, lower P95 monthly COGS to $4.8, and achieve a gross margin of +79.8%.
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 (8)
Vela 3.0 merges routing decisions and segment extraction into a single call.
50%UnverifiedSemantic routing is usually deployed at the request entry point and is latency-sensitive, so model size and number of calls directly determine its usability.
50%UnverifiedIn traditional semantic routing systems, the routing decision and segment extraction are usually two separate steps.
50%UnverifiedSemantic routing refers to the gateway performing lightweight classification on each incoming prompt, judging whether it is a low-complexity task or a high-complexity task, and completing the routing decision within milliseconds.
50%UnverifiedAn 80/15/5 hybrid routing plus caching strategy can reduce per-session cost to $0.16, lower P95 monthly COGS to $4.8, and achieve a gross margin of +79.8%.
50%UnverifiedKeyword 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%