Cloudflare Vectorize
Vectorize is a globally distributed vector database that enables you to build full-stack, AI-powered applications with Cloudflare Workers. 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 Workers AI or by bringing your own from platforms like OpenAI, 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.
Get started
Vectorize
Learn how to create your first Vectorize database, upload vector embeddings, and query those embeddings from Cloudflare Workers.
Workers AI
Run machine learning models, powered by serverless GPUs, on Cloudflare’s global network.
R2 Storage
Store large amounts of unstructured data without the costly egress bandwidth fees associated with typical cloud storage services.
More resources
#vectorize-open-beta channel to show what you are building, and discuss the platform with other developers.