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[DOCS][101] Aggregations quickstart tutorial (#116251) (#118468)

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@ -26,6 +26,7 @@ Alternatively, refer to our <<elasticsearch-intro-deploy,other deployment option
* <<getting-started,Basics: Index and search data using {es} APIs>>. Learn about indices, documents, and mappings, and perform a basic search using the Query DSL.
* <<full-text-filter-tutorial, Basics: Full-text search and filtering>>. Learn about different options for querying data, including full-text search and filtering, using the Query DSL.
* <<esql-getting-started>>: Learn how to query and aggregate your data using {esql}.
* <<aggregations-tutorial, Basics: Analyze ecommerce data with aggregations>>. Learn how to analyze data using different types of aggregations, including metrics, buckets, and pipelines.
* <<semantic-search-semantic-text, Semantic search>>: Learn how to create embeddings for your data with `semantic_text` and query using the `semantic` query.
** <<semantic-text-hybrid-search, Hybrid search with `semantic_text`>>: Learn how to combine semantic search with full-text search.
* <<bring-your-own-vectors, Bring your own dense vector embeddings>>: Learn how to ingest dense vector embeddings into {es}.
@ -41,3 +42,4 @@ If you're interested in using {es} with Python, check out Elastic Search Labs:
include::getting-started.asciidoc[]
include::full-text-filtering-tutorial.asciidoc[]
include::aggs-tutorial.asciidoc[]