---
title: Create a simple search engine
description: Build a simple search engine using the AI Search Workers binding and the search method.
image: https://developers.cloudflare.com/dev-products-preview.png
---

> Documentation Index  
> Fetch the complete documentation index at: https://developers.cloudflare.com/ai-search/llms.txt  
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# Create a simple search engine

Use the `search()` method to implement a simple search engine. This example uses the [Workers binding](https://developers.cloudflare.com/ai-search/api/search/workers-binding/), but can be adapted to use the [REST API](https://developers.cloudflare.com/ai-search/api/search/rest-api/) instead.

To replicate this example:

* Disable query rewriting so that the original user query is matched directly
* Configure your AI Search instance to have small chunk sizes (256 tokens is usually enough)

* [  JavaScript ](#tab-panel-6939)
* [  TypeScript ](#tab-panel-6940)

JavaScript

```
export default {  async fetch(request, env) {    const url = new URL(request.url);    const userQuery = url.searchParams.get("query") ?? "What is Cloudflare?";
    const searchResult = await env.AI_SEARCH.get("my-instance").search({      messages: [{ role: "user", content: userQuery }],    });
    return Response.json({      files: searchResult.chunks.map((chunk) => chunk.item.key),    });  },};
```

TypeScript

```
export interface Env {  AI_SEARCH: AiSearchNamespace;}
export default {  async fetch(request, env): Promise<Response> {    const url = new URL(request.url);    const userQuery = url.searchParams.get("query") ?? "What is Cloudflare?";
    const searchResult = await env.AI_SEARCH.get("my-instance").search({      messages: [{ role: "user", content: userQuery }],    });
    return Response.json({      files: searchResult.chunks.map((chunk) => chunk.item.key),    });  },} satisfies ExportedHandler<Env>;
```

```json
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```