---
title: Demos and architectures
description: Explore demo applications and reference architectures built with Workers AI.
image: https://developers.cloudflare.com/dev-products-preview.png
---

> Documentation Index  
> Fetch the complete documentation index at: https://developers.cloudflare.com/workers-ai/llms.txt  
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# Demos and architectures

Workers AI can be used to build dynamic and performant services. The following demo applications and reference architectures showcase how to use Workers AI optimally within your architecture.

## Demos

Explore the following demo applications for Workers AI.

* [Jobs At Conf: ↗](https://github.com/harshil1712/jobs-at-conf-demo) A job lisiting website to add jobs you find at in-person conferences. Built with Cloudflare Pages, R2, D1, Queues, and Workers AI.

## Reference architectures

Explore the following reference architectures that use Workers AI:

[Fullstack applicationsA practical example of how these services come together in a real fullstack application architecture.](https://developers.cloudflare.com/reference-architecture/diagrams/serverless/fullstack-application/)[Storing user generated contentStore user-generated content in R2 for fast, secure, and cost-effective architecture.](https://developers.cloudflare.com/reference-architecture/diagrams/storage/storing-user-generated-content/)[Optimizing and securing connected transportation systemsThis diagram showcases Cloudflare components optimizing connected transportation systems. It illustrates how their technologies minimize latency, ensure reliability, and strengthen security for critical data flow.](https://developers.cloudflare.com/reference-architecture/diagrams/iot/optimizing-and-securing-connected-transportation-systems/)[Ingesting BigQuery Data into Workers AIYou can connect a Cloudflare Worker to get data from Google BigQuery and pass it to Workers AI, to run AI Models, powered by serverless GPUs.](https://developers.cloudflare.com/reference-architecture/diagrams/ai/bigquery-workers-ai/)[Multi-vendor AI observability and controlBy shifting features such as rate limiting, caching, and error handling to the proxy layer, organizations can apply unified configurations across services and inference service providers.](https://developers.cloudflare.com/reference-architecture/diagrams/ai/ai-multivendor-observability-control/)[Composable AI architectureThe architecture diagram illustrates how AI applications can be built end-to-end on Cloudflare, or single services can be integrated with external infrastructure and services.](https://developers.cloudflare.com/reference-architecture/diagrams/ai/ai-composable/)[Content-based asset creationAI systems combine text-generation and text-to-image models to create visual content from text. They generate prompts, moderate content, and produce images for various applications.](https://developers.cloudflare.com/reference-architecture/diagrams/ai/ai-asset-creation/)[Retrieval Augmented Generation (RAG)RAG combines retrieval with generative models for better text. It uses external knowledge to create factual, relevant responses, improving coherence and accuracy in NLP tasks like chatbots.](https://developers.cloudflare.com/reference-architecture/diagrams/ai/ai-rag/)[Automatic captioning for video uploadsBy integrating automatic speech recognition technology into video platforms, content creators, publishers, and distributors can reach a broader audience, including individuals with hearing impairments or those who prefer to consume content in different languages.](https://developers.cloudflare.com/reference-architecture/diagrams/ai/ai-video-caption/)[Serverless image content managementLeverage various components of Cloudflare's ecosystem to construct a scalable image management solution](https://developers.cloudflare.com/reference-architecture/diagrams/serverless/serverless-image-content-management/)

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