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stack kb context-engine post-context-engine-ai-index-query cli command

Serverless Preview

Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud.

Availability

  • Preview

    This functionality is in technical preview and is ready for evaluation. Use with caution in production; it is not recommended for mission-critical workloads. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features. Specific Support terms apply.

Serverless interfaces and procedures might differ from classic Elastic Stack deployments.

Stack Preview

The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats.

Availability

  • Preview

    This functionality is in technical preview and is ready for evaluation. Use with caution in production; it is not recommended for mission-critical workloads. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features. Specific Support terms apply.

Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

Auth required
Shell 
elastic stack kb context-engine post-context-engine-ai-index-query \
  --query <query> \
  [options]

Query AI Indices

Behaviour flags:

--dry-run — validate all inputs and exit without performing any action

--query string required
The ES|QL query to run. Its FROM decides which Elasticsearch indices are read (normally ai-index-*); the server adds the space filter and a row limit.
--limit number
Maximum rows to return. Defaults to 100; a trailing LIMIT in the query is capped to this value.
--params string
Values for ?name placeholders in the query.
--input-file string
path to a JSON file to use as command input
--dry-run
validate all inputs and exit without performing any action (preview changes without applying them)
--no-validate
skip input validation and send the request as-is
--output-fields string
comma-separated list of fields to include in output (dot-notation supported)
--output-template string
Mustache-like template for custom text output (e.g. "{{id}}: {{name}}")
--json

output as JSON