Cloudflare-Rag

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Cloudflare-rag is a fullstack application example for building Retrieval Augmented Generation (RAG) apps on Cloudflare. It enables users to create "Chat with your PDFs" functionality.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is cloudflare-rag?

Cloudflare-rag provides a fullstack application example for developing Retrieval Augmented Generation (RAG) applications within the Cloudflare ecosystem. This tool specifically allows users to implement a "Chat with your PDFs" feature, enabling interactive conversations with document content. It leverages various Cloudflare services, including Workers, Pages, D1, KV, R2, AI Gateway, and Workers AI, to demonstrate a comprehensive RAG solution. The example is designed to guide developers in building similar AI-powered applications on Cloudflare's platform.

Best used for

Building and deploying Retrieval Augmented Generation (RAG) applications, particularly for enabling interactive chat with PDF documents, using Cloudflare's suite of services.

Common actions

Build RAG apps

Integrate AI

Process PDFs

Develop on Cloudflare

Create chatbots

"AI Agents"github copilotface swappingautomated workflowlow-code/no-codedeepfakecollaborationworkflowsopen-source

Capabilities

Key features

RAG app example
Chat with PDFs
Cloudflare ecosystem
Fullstack application

Target Audience

DevelopersAI EngineersCloudflare users

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

What Cloudflare services are essential to run this RAG application example?

This RAG application example leverages multiple Cloudflare services including Workers, Pages, D1, KV, R2, AI Gateway, and Workers AI. Developers will need to configure and utilize these services to deploy and operate the fullstack solution.

Can I use this example to chat with documents other than PDFs?

While the example specifically highlights 'Chat with your PDFs,' the underlying RAG architecture is generally adaptable. Developers could extend it to support other document formats by integrating appropriate parsing and embedding mechanisms for those file types.

Is this a production-ready application or primarily a development example?

Cloudflare-rag is presented as a fullstack application example designed to guide developers. While functional, it serves as a robust starting point for building similar AI-powered applications, rather than a fully polished, production-ready product out-of-the-box.

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AI Frameworks & Infra Chatbots & Conversational AI Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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