Quick "ask HN": I'm currently working on a semantic search solution, and one of the challenges is to be able to query billions of embeddings easily (single-digit seconds). I've been testing different approaches with a small dataset (50-100 million embeddings, 512 or 768 dimensions), and all databases I've tried have somewhat severe issues with this volume of data (<100GB of data) on my local machine. I've tried milvus, chroma, clickhouse, pgvector, faiss and probably some others I don't recall right now. Any suggestions on additional databases to try out?