John Karpentar

Retrieval-augmented generation lives or dies on the database underneath it — and the seven products below split into three very different bets: fully managed convenience, open-source control, and storage-layer economics. Every serious RAG pipeline, recommendation engine, or semantic search feature needs somewhere to store embeddings and query them