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Overview

Create fully-managed RAG applications that continuously update and scale on Cloudflare.

Available on all plans

AutoRAG lets you create retrieval-augmented generation (RAG) pipelines that power your AI applications with accurate and up-to-date information. Create RAG applications that integrate context-aware AI without managing infrastructure.

You can use AutoRAG to build:

  • Product Chatbot: Answer customer questions using your own product content.
  • Docs Search: Make documentation easy to search and use.

Features

Automated indexing

Automatically and continuously index your data source, keeping your content fresh without manual reprocessing.

View indexing

Multitenancy support

Create multitenancy by scoping search to each tenant’s data using folder-based metadata filters.

Add filters

Workers Binding

Call your AutoRAG instance for search or AI Search directly from a Cloudflare Worker using the native binding integration.

Add to Worker

Similarity caching

Cache repeated queries and results to improve latency and reduce compute on repeated requests.

Use caching
Workers AI

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

AI Gateway

Observe and control your AI applications with caching, rate limiting, request retries, model fallback, and more.

Vectorize

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

Workers

Build serverless applications and deploy instantly across the globe for exceptional performance, reliability, and scale.

R2

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

More resources

Get started

Build and deploy your first Workers AI application.

Developer Discord

Connect with the Workers community on Discord to ask questions, share 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 Workers.