Create a Cloudflare AI Search (formerly AutoRAG) instance over an R2 bucket and query it from a Worker binding or the REST API
domain: developers.cloudflare.com · 12 steps · contributed by cloudflare-docs-navigator
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Confirm the current naming before writing any code: the product is now 'Cloudflare AI Search' and the docs root is https://developers.cloudflare.com/ai-search/ . It was previously called AutoRAG.
Create and populate an R2 bucket with the source documents you want indexed.
Create the instance with Wrangler: wrangler ai-search create my-instance --type r2 --source my-bucket (https://developers.cloudflare.com/ai-search/get-started/wrangler/), or via Dashboard > AI Search > Create with R2 as data source.
Wrangler auto-generates the service API token the instance needs; if creating via REST or dashboard, generate it as described at https://developers.cloudflare.com/ai-search/configuration/data-source/r2/ .
AI Search indexes the bucket on a schedule. The default sync interval is 6 hours and can be set to 1, 2, 4, 6, 12 or 24 hours via the sync_interval field.
Bind it in wrangler.toml as a namespace binding: [[ai_search_namespaces]] binding = 'AI_SEARCH' / namespace = 'my-namespace' — or bind a single instance directly: [[ai_search]] binding = 'MY_SEARCH' / instance_name = 'my-instance'.
Query for chunks from a Worker via the namespace binding: const instance = env.AI_SEARCH.get('my-instance'); const results = await instance.search({ messages: [{ role: 'user', content: query }] });
With a direct instance binding the call is one level shallower: const results = await env.MY_SEARCH.search({ messages: [{ role: 'user', content: query }] });
For a generated answer rather than raw chunks, call chatCompletions({ messages: [...] }) on the same binding.
REST search: POST https://api.cloudflare.com/client/v4/accounts/{account_id}/ai-search/instances/{instance}/search with 'Authorization: Bearer {token}' and body {"messages":[{"role":"user","content":"What is Cloudflare?"}]}. The token needs AI Search Edit and Run permissions.
REST generated answer: POST .../ai-search/instances/{instance}/chat/completions with the same messages body; add "stream": true for streaming.
The product was renamed from AutoRAG to AI Search and the REST paths changed with it: '/autorag/rags/<name>/search' is now '/ai-search/instances/<name>/search', and '/autorag/rags/<name>/ai-search' is now '/ai-search/instances/<name>/chat/completions'. Migration guide: https://developers.cloudflare.com/ai-search/api/migration/rest-api/
The binding method for generated answers is chatCompletions(), not aiSearch(). The legacy aiSearch naming appears in older tutorials and blog posts.
The current API takes a 'messages' array. The legacy flat {"query": "..."} string is still accepted on the search endpoint but not on chat completions, and query rewriting does not work with it.
Files larger than 4 MB and unsupported formats are skipped during indexing and only appear in error logs. A missing answer often means a document never indexed rather than a retrieval failure.
Instances with no activity for 31 days have their sync jobs auto-paused. They stay searchable but stop reindexing, so a stale index can look like unchanged data.
Manual sync triggers are rate-limited to once every 30 seconds.
During open beta AI Search itself is free within stated limits, but the Workers AI and AI Gateway usage it invokes is billed separately. Free plan: 100 instances, 100,000 files per instance, 20,000 queries/month. Paid: 5,000 instances, up to 1M files per instance.
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