---
title: Cloudflare Vectorize
description: Build full-stack AI applications with Vectorize, Cloudflare's vector database.
image: https://developers.cloudflare.com/dev-products-preview.png
---

> Documentation Index  
> Fetch the complete documentation index at: https://developers.cloudflare.com/vectorize/llms.txt  
> Use this file to discover all available pages before exploring further.

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### Tags

[ AI ](https://developers.cloudflare.com/search/?tags=AI) 

# 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](https://developers.cloudflare.com/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 ↗](https://discord.cloudflare.com). If you are having issues with Wrangler, report issues in the [Wrangler GitHub repository ↗](https://github.com/cloudflare/workers-sdk/issues/new/choose).

For example, by storing the embeddings (vectors) generated by a machine learning model, including those built-in to [Workers AI](https://developers.cloudflare.com/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.

---

## Features

###  Vector database 

Learn how to create your first Vectorize database, upload vector embeddings, and query those embeddings from [Cloudflare Workers](https://developers.cloudflare.com/workers/).

[ Create your Vector database ](https://developers.cloudflare.com/vectorize/get-started/intro/) 

###  Vector embeddings using Workers AI 

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

[ Create vector embeddings using Workers AI ](https://developers.cloudflare.com/vectorize/get-started/embeddings/) 

###  Search using Vectorize and AI Search 

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

[ Build a RAG with Vectorize ](https://developers.cloudflare.com/ai-search/) 

---

## Related products

**[Workers AI](https://developers.cloudflare.com/workers-ai/)** 

Run machine learning models, powered by serverless GPUs, on Cloudflare’s global network.

**[R2 Storage](https://developers.cloudflare.com/r2/)** 

Store large amounts of unstructured data without the costly egress bandwidth fees associated with typical cloud storage services.

---

## More resources

[Limits](https://developers.cloudflare.com/vectorize/platform/limits/) 

Learn about Vectorize limits and how to work within them.

[Use cases](https://developers.cloudflare.com/use-cases/ai/) 

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

[Storage options](https://developers.cloudflare.com/workers/platform/storage-options/) 

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

[Developer Discord](https://discord.cloudflare.com) 

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](https://x.com/cloudflaredev) 

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

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