9tb should be fine for vectordb, for sure. google search is many petabytes of index with vector+semantic search, that is using ScaNN. you could probably use th

9tb should be fine for vectordb, for sure. google search is many petabytes of index with vector+semantic search, that is using ScaNN. you could probably use the hybrid search in llamaindex; or elasticsearch. there is an off the shelf discovery engine api on gcp. vertex rag engine is end to end for building your own. gcp is too expensive though. alibaba cloud have a similar solution.