AI Search

AI Search indexes files you upload, then runs keyword, vector, or hybrid retrieval and optional chat. Markdown Conversion is exposed on the same standard env.AI binding via toMarkdown() / supported().

open-compute implements these surfaces with operator-configured OpenAI-compatible providers. Full Workers AI model inference (run(), models(), AutoRAG, and unrelated inference) is not provided.

For example, you can use AI Search for:

• Uploading documents or indexing bounded R2 sources, then searching them from a Worker
• Hybrid retrieval before generating an answer
• Converting Office/PDF/HTML inputs to Markdown with env.AI.toMarkdown()

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const result = await env.SEARCH.search({ query: "cache invalidation" });
    return Response.json(result);
  },
} satisfies ExportedHandler<{ SEARCH: AiSearchInstance }>;

Bind a namespace and/or instance, plus the platform ai binding when you need Markdown Conversion:

{
  "name": "search-app",
  "main": "src/index.ts",
  "ai_search_namespaces": [{ "binding": "SEARCH_NS", "namespace": "team" }],
  "ai_search": [{ "binding": "SEARCH", "instance_name": "docs" }],
  "ai": { "binding": "AI" }
}

Official reference: Cloudflare AI Search. Binding grammar: bindings.

Compatibility

Topic	Cloudflare	open-compute
AI Search Worker API	Namespace / instance / items / jobs / search / chat	Same declared surface
Markdown Conversion	env.AI.toMarkdown() / supported()	Same pinned overloads
Embeddings / chat models	Cloudflare-hosted Workers AI	Operator-pinned OpenAI-compatible providers
Full Workers AI inference	run() / models() / AutoRAG	Not provided
Object bytes	Hosted storage	Selected Local or S3 authority
Placement / replication	Global	Single-node

Next: Develop with bindings · Compatibility and limits