RAG Model Router

RAG Model Router is a ai selection service that chooses the best model or provider for a task for retrieval-augmented generation pipelines. It uses cost, latency, capability, policy, and fallback signals so teams can match work to the right model while keeping evidence, reliability, and public-safe operational boundaries clear.

“The AI platform team used RAG Model Router when the retriever mixed old and new documents, so the team could match work to the right model before the agent workflow reached production.”