Cloudflare Vectorize

Build full-stack AI applications with Vectorize, Cloudflare's powerful vector database.

Vectorize is a globally distributed vector database that enables you to build full-stack, AI-powered applications with Cloudflare Workers. Vectorize makes 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.

Vectorize is now Generally Available

To report bugs or give feedback, go to the #vectorize Discord channel ↗. If you are having issues with Wrangler, report issues in the Wrangler GitHub repository ↗.

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.

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Features

Vector database

Learn how to create your first Vectorize database, upload vector embeddings, and query those embeddings from Cloudflare Workers.

Create your Vector database

Vector embeddings using Workers AI

Learn how to use Vectorize to generate vector embeddings using Workers AI.

Create vector embeddings using Workers AI

Search using Vectorize and AutoRAG

Learn how to automatically index your data and store it in Vectorize, then query it to generate context-aware responses using AutoRAG.

Build a RAG with Vectorize

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Related products

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.

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More resources

Limits

Learn about Vectorize limits and how to work within them.

Use cases

Learn how you can build and deploy ambitious AI applications to Cloudflare's global network.

Storage options

Learn more about the storage and database options you can build on with Workers.

Developer Discord

Connect with the Workers community on Discord to ask questions, join the #vectorize channel to show what you are building, and discuss the platform with other developers.

@CloudflareDev

Follow @CloudflareDev on Twitter to learn about product announcements, and what is new in Cloudflare Developer Platform.