Vectorize is a globally distributed vector database that enables you to build full-stack, AI-powered applications with . It’s designed to make querying embeddings — representations of values or objects like text, images, audio that are designed to be consumed by machine learning models and semantic search algorithms — faster, easier and more affordable.
For example, by storing the embeddings (vectors) generated by a machine learning model, including those built-in to or by bringing your own from platforms like , you can build applications with powerful search, similarity, recommendation, classification and/or anomaly detection capabilities based on your own data.
The vectors returned can reference images stored in Cloudflare R2, documents in KV, and/or user profiles stored in D1 — enabling you to go from vector search result to concrete object all within the Workers platform, and without standing up additional infrastructure.
Run machine learning models, powered by serverless GPUs, on Cloudflare’s global network.
Store large amounts of unstructured data without the costly egress bandwidth fees associated with typical cloud storage services.
#vectorize-open-betachannel to show what you are building, and discuss the platform with other developers.