Changelog

You can now filter AutoRAG search results by folder and timestamp using metadata filtering to narrow down the scope of your query.

This makes it easy to build multitenant experiences where each user can only access their own data. By organizing your content into per-tenant folders and applying a folder filter at query time, you ensure that each tenant retrieves only their own documents.

Example folder structure:

customer-a/logs/
customer-a/contracts/
customer-b/contracts/

Example query:

const response = await env.AI.autorag("my-autorag").search({
	query: "When did I sign my agreement contract?",
	filters: {
		type: "eq",
		key: "folder",
		value: "customer-a/contracts/",
	},
});

You can use metadata filtering by creating a new AutoRAG or reindexing existing data. To reindex all content in an existing AutoRAG, update any chunking setting and select Sync index. Metadata filtering is available for all data indexed on or after April 21, 2025.

If you are new to AutoRAG, get started with the Get started AutoRAG guide.

AutoRAG is now in open beta, making it easy for you to build fully-managed retrieval-augmented generation (RAG) pipelines without managing infrastructure. Just upload your docs to R2, and AutoRAG handles the rest: embeddings, indexing, retrieval, and response generation via API.

With AutoRAG, you can:

• Customize your pipeline: Choose from Workers AI models, configure chunking strategies, edit system prompts, and more.
• Instant setup: AutoRAG provisions everything you need from Vectorize, AI gateway, to pipeline logic for you, so you can go from zero to a working RAG pipeline in seconds.
• Keep your index fresh: AutoRAG continuously syncs your index with your data source to ensure responses stay accurate and up to date.
• Ask questions: Query your data and receive grounded responses via a Workers binding or API.

Whether you're building internal tools, AI-powered search, or a support assistant, AutoRAG gets you from idea to deployment in minutes.

Get started in the Cloudflare dashboard ↗ or check out the guide for instructions on how to build your RAG pipeline today.