Common implementations of knowledge base routing include embedding similarity-based routing, LLM-based routing, and trained classifier-based routing, each with its own trade-offs: embedding routing is fast but coarse-grained, LLM routing is flexible but has high latency and cost, and classifier routing is precise but requires labeled data.