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nastasha-solomon committed Jan 3, 2024
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2 changes: 1 addition & 1 deletion docs/assistant/security-assistant.asciidoc
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Expand Up @@ -168,7 +168,7 @@ The *Show anonymized* toggle controls whether you see the obfuscated or plaintex

* **Knowledge base:** Use retrieval-augmented generation to provide specialized knowledge of the Elastic Search Query Language ({esql}) to AI Assistant. For example, with the knowledge base active, you can ask AI Assistant to help you write an {esql} query for a particular use case, or ask it to answer general questions about {esql} syntax and usage. Without the knowledge base enabled, AI Assistant will not be able to answer questions about {esql}.
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beta::[]
beta::["Do not use {esql} on production environments. This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features."]
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To enable the knowledge base:
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2 changes: 1 addition & 1 deletion docs/detections/about-rules.asciidoc
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Expand Up @@ -44,7 +44,7 @@ TIP: You can also use value lists as the indicator match index. See <<indicator-

* <<create-esql-rule, *ES|QL*>>: Searches the defined indices and creates an alert when results match an {ref}/esql.html[Elasticsearch Query Language (ES|QL)] query.
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preview::[]
preview::["Do not use {esql} on production environments. This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features."]

[role="screenshot"]
image::images/all-rules.png[Shows the Rules page]
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2 changes: 1 addition & 1 deletion docs/detections/api/rules/rules-api-create.asciidoc
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Expand Up @@ -39,7 +39,7 @@ mappings should be {ecs-ref}[ECS-compliant].
* *New terms*: Generates an alert for each new term detected in source documents within a specified time range.
* *{esql}*: Uses {ref}/esql.html[Elasticsearch Query Language ({esql})] to find events and aggregate search results.
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preview::[]
preview::["Do not use {esql} on production environments. This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features."]
* *{ml-cap} rules*: Creates an alert when a {ml} job discovers an anomaly above
the defined threshold (see <<machine-learning>>).

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2 changes: 1 addition & 1 deletion docs/detections/rules-ui-create.asciidoc
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Expand Up @@ -268,7 +268,7 @@ For example, if a rule has an interval of 5 minutes, no additional look-back tim
[[create-esql-rule]]
=== Create an {esql} rule

preview::[]
preview::["Do not use {esql} on production environments. This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features."]

Use {ref}/esql.html[{esql}] to query your source events and aggregate event data. Query results are returned in a table with rows and columns. Each row becomes an alert.

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2 changes: 1 addition & 1 deletion docs/events/timeline-ui-overview.asciidoc
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Expand Up @@ -196,7 +196,7 @@ From the *Correlation* tab, you can also do the following:
[[esql-in-timeline]]
== Use {esql} to investigate events

preview::[]
preview::["Do not use {esql} on production environments. This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features."]

The {ref}/esql.html[Elasticsearch Query Language ({esql})] provides a powerful way to filter, transform, and analyze event data stored in {es}. {esql} queries use "pipes" to manipulate and transform data in a step-by-step fashion. This approach allows you to compose a series of operations, where the output of one operation becomes the input for the next, enabling complex data transformations and analysis.

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