---
title: View custom metadata in responses and guide AI-search with context in AutoRAG
description: You can now view custom metadata in AutoRAG search responses and use a context field to provide additional guidance to AI-generated answers.
image: https://developers.cloudflare.com/changelog-preview.png
---

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## View custom metadata in responses and guide AI-search with context in AutoRAG

Jun 19, 2025 

[ AI Search ](https://developers.cloudflare.com/ai-search/) 

In [AutoRAG](https://developers.cloudflare.com/ai-search/), you can now view your object's custom metadata in the response from [/search](https://developers.cloudflare.com/ai-search/api/search/workers-binding/) and [/ai-search](https://developers.cloudflare.com/ai-search/api/search/workers-binding/), and optionally add a `context` field in the custom metadata of an object to provide additional guidance for AI-generated answers.

You can add [custom metadata](https://developers.cloudflare.com/r2/api/workers/workers-api-reference/#r2putoptions) to an object when uploading it to your R2 bucket.

#### Object's custom metadata in search responses

When you run a search, AutoRAG now returns any custom metadata associated with the object. This metadata appears in the response inside `attributes` then `file` , and can be used for downstream processing.

For example, the `attributes` section of your search response may look like:

```
{  "attributes": {    "timestamp": 1750001460000,    "folder": "docs/",    "filename": "launch-checklist.md",    "file": {      "url": "https://wiki.company.com/docs/launch-checklist",      "context": "A checklist for internal launch readiness, including legal, engineering, and marketing steps."    }  }}
```

#### Add a `context` field to guide LLM answers

When you include a custom metadata field named `context`, AutoRAG attaches that value to each chunk of the file. When you run an `/ai-search` query, this `context` is passed to the LLM and can be used as additional input when generating an answer.

We recommend using the `context` field to describe supplemental information you want the LLM to consider, such as a summary of the document or a source URL. If you have several different metadata attributes, you can join them together however you choose within the `context` string.

For example:

```
{  "context": "summary: 'Checklist for internal product launch readiness, including legal, engineering, and marketing steps.'; url: 'https://wiki.company.com/docs/launch-checklist'"}
```

This gives you more control over how your content is interpreted, without requiring you to modify the original contents of the file.

Learn more in AutoRAG's [metadata filtering documentation](https://developers.cloudflare.com/ai-search/configuration/indexing/metadata/).

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