Best AI Infrastructure — Vector Database Tools

Serverless vector, full-text, and hybrid search engine built on object storage — ~10x cheaper than Pinecone at scale, powering Cursor, Notion, and Linear.

Key Features:

• •The object-storage-native design means adding another terabyte of vectors is roughly S3 pricing plus a thin service margin — not the 5-10x markup of in-memory competitors that keep everything on NVMe.
• •Hybrid search combines dense-vector similarity with BM25 keyword scoring in a single query, so a RAG pipeline can weight semantic and lexical relevance without maintaining two indexes.
• •Namespace branching is copy-on-write: cloning a 100GB production namespace to a staging environment takes milliseconds and only bills for divergent data, which makes experimenting with new embeddings cheap.