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AWS opensearch-service documentation change

Service: opensearch-service · 2026-02-22 · Documentation low

File: opensearch-service/latest/developerguide/Amazon-Q-developer-support-anomaly-detectors.md

Summary

Removed entire documentation section about viewing Amazon Q recommended anomaly detectors, including setup steps and UI references

Security assessment

The changes involve content removal rather than security-related updates. No security vulnerabilities or protections are mentioned in the removed content.

Diff

diff --git a/opensearch-service/latest/developerguide/Amazon-Q-developer-support-anomaly-detectors.md b/opensearch-service/latest/developerguide/Amazon-Q-developer-support-anomaly-detectors.md
index 57868c408..8b1378917 100644
--- a//opensearch-service/latest/developerguide/Amazon-Q-developer-support-anomaly-detectors.md
+++ b//opensearch-service/latest/developerguide/Amazon-Q-developer-support-anomaly-detectors.md
@@ -1 +0,0 @@
-[](/pdfs/opensearch-service/latest/developerguide/opensearch-service-dg.pdf#Amazon-Q-developer-support-anomaly-detectors "Open PDF")
@@ -3,46 +1,0 @@
-[Documentation](/index.html)[Amazon OpenSearch Service](/opensearch-service/index.html)[Developer Guide](what-is.html)
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-# View recommended anomaly detectors
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-Anomaly detection in Amazon OpenSearch Service automatically detects anomalies in your OpenSearch data in near-real time by using the Random Cut Forest (RCF) algorithm. RCF is an unsupervised machine learning algorithm that models a sketch of your incoming data stream. The algorithm computes an `anomaly grade` and `confidence score` value for each incoming data point. Anomaly detection uses these values to differentiate an anomaly from normal variations in your data. 
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-To simplify the process of creating anomaly detectors, Amazon Q can generate suggested detectors based on your selected data source on the **Discover** page. Amazon Q supports suggested anomaly detectors for any language.
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-###### To view Amazon Q recommended anomaly detectors
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-  1. Verify that you've [set up AI Assistant for OpenSearch Service](https://docs.aws.amazon.com/opensearch-service/latest/developerguide/AI-Assistant-setting-up.html).
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-  2. In the OpenSearch Dashboards main menu, choose the **Discover** page, and then choose a data source.
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-  3. From the **Amazon Q** menu, choose **Suggest anomaly detector** , as shown in the following screen shot.
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-![An image showing how to locate the button to create a suggested anomaly detector.](/images/opensearch-service/latest/developerguide/images/AmazonQAnomalyDetectorButton.gif)
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-Amazon Q can take a few seconds to generate the features for the detector.
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-  4. Choose **Create detector**.
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-![Warning](https://d1ge0kk1l5kms0.cloudfront.net/images/G/01/webservices/console/warning.png) **Javascript is disabled or is unavailable in your browser.**
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-To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions.
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-[Document Conventions](/general/latest/gr/docconventions.html)
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-View Amazon Q-generated query result summaries on the Discover page
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-Access Amazon Q chat for OpenSearch Service questions
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-Did this page help you? - Yes
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-Thanks for letting us know we're doing a good job!
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-If you've got a moment, please tell us what we did right so we can do more of it.
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-Did this page help you? - No
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-Thanks for letting us know this page needs work. We're sorry we let you down.
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-If you've got a moment, please tell us how we can make the documentation better.