Anyone using Qdrant for semantic search with Claude? Performance tips?

I've been setting up Qdrant as a vector store for retrieval-augmented generation with Claude, and while it's working, I'm curious if anyone else has tuned it for production. Specifically, I'm wondering about optimal batch sizes for embedding and whether you're indexing on the fly or pre-computing. Also, how are you handling vector updates without downtime?