AutoRAG is a fully managed Retrieval-Augmented Generation (RAG) pipeline powered by Cloudflare, designed to simplify how developers integrate context-aware AI into their applications. It removes the complexity of building and maintaining a RAG pipeline, allowing users to focus on building smarter and faster applications. AutoRAG uses Workers AI's vector database, embedding model, LLMs, and custom indexing, retrieval, and generation logic to deliver a fully-managed RAG pipeline end-to-end. The pipeline continuously monitors data sources and indexes in the background, ensuring that the AI stays fresh without manual effort. Users can create an AutoRAG instance and monitor its indexing process, then integrate it into their application using the AI binding. During the open beta, AutoRAG is free to enable, and users are limited to 10 instances with up to 100,000 files per instance. The platform plans to expand data source integrations, improve response quality, and introduce new features throughout 2025.