> For the complete documentation index, see [llms.txt](https://awsnotes.dendron.so/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://awsnotes.dendron.so/machine-learning/amazon-kendra/topics/searching-indexes.md).

# Searching indexes

{% hint style="info" %}
This page was generated from content adapted from the [AWS Developer Guide](https://github.com/awsdocs/amazon-kendra-developer-guide.git)
{% endhint %}

## Querying an index

* **Note**\
  You can use this code to filter document attributes. The topic [Filtering queries](https://github.com/kevinslin/aws-reference-notes/blob/main/services/amazon_kendra/filtering.md) contains examples that you can use to replace the following code.

## Query suggestions

* **Note**\
  The time for your updated settings to take effect depends on the updates you make and the number of search queries in your index.
* **Note**\
  Amazon Kendra learns new suggestions based on new queries added to the query log from the time you last cleared suggestions.

## Filtering on user context

* **Note**\
  User context filtering isn't an authentication or authorization control for your content. It doesn't do user authentication on the user and groups sent to the `Query` API. It is up to your application to ensure that the user and group information sent to `Query` API is authenticated and authorized.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://awsnotes.dendron.so/machine-learning/amazon-kendra/topics/searching-indexes.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.