Cloudflare Vectorize

Fully-managed serverless vector database for RAG and semantic search.

Fully-managed vector DB built for production RAG and semantic search at scale. Serverless pricing, low-latency reads, and integrations across every major framework, with no infrastructure to provision or operate.

Object-storage-backed vector DB. Serverless economics at scale.

Bills like S3 — cold rest, warm reads, no per-namespace minimums. Designed for very-large, mostly-cold vector workloads where you can't justify keeping every index in RAM. Operated by Notion in production.

Native vector storage and querying in S3 — serverless, billion-vector scale.

Purpose-built vector storage inside Amazon S3: store and query up to two billion vectors per index across thousands of indexes per vector bucket, with S3's durability and elasticity and no clusters to manage. Frequent queries return in around 100ms and infrequent ones in under a second, and it plugs directly into Amazon Bedrock Knowledge Bases for RAG.

Open-source, Rust-based vector DB. Fast, predictable, self-hostable.

Vector database written in Rust with a strong focus on filtering, payloads, and predictable latency at scale. Self-host on a single binary or use the managed cloud.