AI Search is now generally available

Cloudflare’s AI Search combines Workers AI, Vectorize, R2, and Browser Run into a fully managed index and retrieval pipeline. Since we launched AI Search over a year ago, we’ve seen developers use it to power a wide range of search use cases, from searching internal documentation to powering search for their websites. We use AI Search ourselves to power search on our own blog and developer docs.

Starting today, AI Search is generally available. And as part of it, we've expanded and improved our support for multimodal formats beyond text, adding native image embeddings, optical character recognition (OCR) for PDFs, and support for larger files.

As part of general availability, we’ll start billing for AI Search on November 1, 2026, and continue to offer a generous free tier on all Workers plans.

New: multimodal embedding and retrieval

An image is more than the sentence used to describe it. Product texture, screenshot state, chart relationships, document layout, and fine visual detail can all disappear when pixels are compressed into a caption.

AI Search now preserves both signals: it embeds image pixels directly for visual retrieval while retaining captions for textual understanding. To keep these richer representations efficient, AI Search Continue reading

AI Search: the search primitive for your agents

Every agent needs search: Coding agents search millions of files across repos, or support agents search customer tickets and internal docs. The use cases are different, but the underlying problem is the same: get the right information to the model at the right time.

If you're building search yourself, you need a vector index, an indexing pipeline that parses and chunks your documents, and something to keep the index up to date when your data changes. If you also need keyword search, that's a separate index and fusion logic on top. And if each of your agents needs its own searchable context, you're setting all of that up per agent. 

AI Search (formerly AutoRAG) is the plug-and-play search primitive you need. You can dynamically create instances, give it your data, and search — from a Worker, the Agents SDK, or Wrangler CLI. Here's what we're shipping:

• Hybrid search. Enable both semantic and keyword matching in the same query. Vector search and BM25 run in parallel and results are fused. (The search on our blog is now powered by AI Search. Try the magnifying glass icon to the top right.)

• Built-in storage and index. New instances come with Continue reading