[DOCS] Add search and filtering tutorial/quickstart, edit filtering page (#114353)

(cherry picked from commit 0d8d8bd)

Author: leemthompo

docs/reference/query-dsl/query_filter_context.asciidoc

@@ -29,26 +29,45 @@ parameter, such as the `query` parameter in the
 [discrete]
 [[filter-context]]
 === Filter context
-In a filter context, a query clause answers the question ``__Does this
-document match this query clause?__''  The answer is a simple Yes or No -- no
-scores are calculated. Filter context is mostly used for filtering structured
-data, e.g.
 
-*  __Does this +timestamp+ fall into the range 2015 to 2016?__
-*  __Is the +status+  field set to ++"published"++__?
+A filter answers the binary question “Does this document match this query clause?”. The answer is simply "yes" or "no".
+Filtering has several benefits:
 
-Frequently used filters will be cached automatically by Elasticsearch, to
-speed up performance.
+. *Simple binary logic*: In a filter context, a query clause determines document matches based on a yes/no criterion, without score calculation.
+. *Performance*: Because they don't compute relevance scores, filters execute faster than queries.
+. *Caching*: {es} automatically caches frequently used filters, speeding up subsequent search performance.
+. *Resource efficiency*: Filters consume less CPU resources compared to full-text queries.
+. *Query combination*: Filters can be combined with scored queries to refine result sets efficiently.
 
-Filter context is in effect whenever a query clause is passed to a `filter`
-parameter, such as the `filter` or `must_not` parameters in the
-<<query-dsl-bool-query,`bool`>> query, the `filter` parameter in the
-<<query-dsl-constant-score-query,`constant_score`>> query, or the
-<<search-aggregations-bucket-filter-aggregation,`filter`>> aggregation.
+Filters are particularly effective for querying structured data and implementing "must have" criteria in complex searches.
+
+Structured data refers to information that is highly organized and formatted in a predefined manner. In the context of Elasticsearch, this typically includes:
+
+* Numeric fields (integers, floating-point numbers)
+* Dates and timestamps
+* Boolean values
+* Keyword fields (exact match strings)
+* Geo-points and geo-shapes
+
+Unlike full-text fields, structured data has a consistent, predictable format, making it ideal for precise filtering operations.
+
+Common filter applications include:
+
+* Date range checks: for example is the `timestamp` field between 2015 and 2016
+* Specific field value checks: for example is the `status` field equal to "published" or is the `author` field equal to "John Doe"
+
+Filter context applies when a query clause is passed to a `filter` parameter, such as:
+
+* `filter` or `must_not` parameters in <<query-dsl-bool-query,`bool`>>  queries
+* `filter` parameter in <<query-dsl-constant-score-query,`constant_score`>> queries
+* <<search-aggregations-bucket-filter-aggregation,`filter`>> aggregations
+
+Filters optimize query performance and efficiency, especially for structured data queries and when combined with full-text searches.
 
 [discrete]
 [[query-filter-context-ex]]
 === Example of query and filter contexts
+
 Below is an example of query clauses being used in query and filter context
 in the `search` API. This query will match documents where all of the following
 conditions are met:
@@ -93,4 +112,4 @@ significand's precision will be converted to floats with loss of precision.
 
 TIP: Use query clauses in query context for conditions which should affect the
 score of matching documents (i.e. how well does the document match), and use
-all other query clauses in filter context.
+all other query clauses in filter context.