AI Search Configuration

Worker Setup

// wrangler.jsonc
{
  "ai": { "binding": "AI" }
}

interface Env {
  AI: Ai;
}

const answer = await env.AI.autorag("my-instance").aiSearch({
  query: "How do I configure caching?",
  model: "@cf/meta/llama-3.3-70b-instruct-fp8-fast"
});

Data Sources

R2 Bucket

Dashboard: AI Search → Create Instance → Select R2 bucket

Supported formats: .md, .txt, .html, .pdf, .doc, .docx, .csv, .json

Auto-indexed metadata: filename, folder, timestamp

Website Crawler

Requirements:

Domain on Cloudflare
sitemap.xml at root
Bot protection must allow CloudflareAISearch user agent

Path Filtering (R2)

docs/**/*.md          # All .md in docs/ recursively
**/*.draft.md         # Exclude (use in exclude patterns)

Indexing

Automatic: Every 6 hours
Force Sync: Dashboard button (30s rate limit between syncs)
Pause: Settings → Pause Indexing (existing index remains searchable)

Service API Token

Dashboard: AI Search → Instance → Use AI Search → API → Create Token

Permissions:

Read - search operations
Edit - instance management

Store securely:

wrangler secret put AI_SEARCH_TOKEN

Multi-Environment

# wrangler.toml
[env.production.vars]
AI_SEARCH_INSTANCE = "prod-docs"

[env.staging.vars]
AI_SEARCH_INSTANCE = "staging-docs"

const answer = await env.AI.autorag(env.AI_SEARCH_INSTANCE).aiSearch({ query });

Monitoring

const instances = await env.AI.autorag("_").listInstances();
console.log(instances.find(i => i.name === "docs"));

Dashboard shows: files indexed, status, last index time, storage usage.

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