diff --git a/docs/reference/query-dsl/queries/filtered-query.asciidoc b/docs/reference/query-dsl/queries/filtered-query.asciidoc
index 2e4c42df7c7..5a782a8b875 100644
--- a/docs/reference/query-dsl/queries/filtered-query.asciidoc
+++ b/docs/reference/query-dsl/queries/filtered-query.asciidoc
@@ -1,54 +1,159 @@
 [[query-dsl-filtered-query]]
 === Filtered Query
 
-A query that applies a filter to the results of another query. This
-query maps to Lucene `FilteredQuery`.
+The `filtered` query is used to combine another query with any
+<<query-dsl-filters,filter>>). Filters are usually faster than queries because:
+
+*   they don't have to calculate the relevance `_score` for each document --
+    the answer is just a boolean ``Yes, the document matches the filter'' or
+    ``No, the document does not match the filter''.
+*   the results from most filters can be cached in memory, making subsequent
+    executions faster.
+
+TIP: Exclude as many document as you can with a filter, then query just the
+documents that remain.
 
 [source,js]
 --------------------------------------------------
 {
-    "filtered" : {
-        "query" : {
-            "term" : { "tag" : "wow" }
-        },
-        "filter" : {
-            "range" : {
-                "age" : { "from" : 10, "to" : 20 }
-            }
-        }
+  "filtered": {
+    "query": {
+      "match": { "tweet": "full text search" }
+    },
+    "filter": {
+      "range": { "created": { "gte": "now - 1d / d" }}
     }
+  }
 }
 --------------------------------------------------
 
-The filter object can hold only filter elements, not queries. Filters
-can be much faster compared to queries since they don't perform any
-scoring, especially when they are cached.
+The `filtered` query can be used wherever a `query` is expected, for instance,
+to use the above example in search request:
+
+[source,js]
+--------------------------------------------------
+curl -XGET localhost:9200/_search -d '
+{
+  "query": {
+    "filtered": { <1>
+      "query": {
+        "match": { "tweet": "full text search" }
+      },
+      "filter": {
+        "range": { "created": { "gte": "now - 1d / d" }}
+      }
+    }
+  }
+}
+'
+--------------------------------------------------
+<1> The `filtered` query is passed as the value of the `query`
+    parameter in the search request.
+
+==== Filtering without a query
+
+If a `query` is not specified, it defaults to the
+<<query-dsl-match-all-query,`match_all` query>>.  This means that the
+`filtered` query can be used to wrap just a filter, so that it can be used
+wherever a query is expected.
+
+[source,js]
+--------------------------------------------------
+curl -XGET localhost:9200/_search -d '
+{
+  "query": {
+    "filtered": { <1>
+      "filter": {
+        "range": { "created": { "gte": "now - 1d / d" }}
+      }
+    }
+  }
+}
+'
+--------------------------------------------------
+<1> No `query` has been specfied, so this request applies just the filter,
+   returning all documents created since yesterday.
+
+==== Multiple filters
+
+Multiple filters can be applied by wrapping them in a
+<<query-dsl-bool-filter,`bool` filter>>, for example:
+
+[source,js]
+--------------------------------------------------
+{
+  "filtered": {
+    "query": { "match": { "tweet": "full text search" }},
+    "filter": {
+      "bool": {
+        "must": { "range": { "created": { "gte": "now - 1d / d" }}},
+        "should": [
+          { "term": { "featured": true }},
+          { "term": { "starred":  true }}
+        ],
+        "must_not": { "term": { "deleted": false }}
+      }
+    }
+  }
+}
+--------------------------------------------------
+
+Similarly, multiple queries can be combined with a
+<<query-dsl-bool-query,`bool` query>>.
 
 ==== Filter strategy
 
-The filtered query allows to configure how to intersect the filter with the query:
+You can control how the filter and query are executed with the `strategy`
+parameter:
 
 [source,js]
 --------------------------------------------------
 {
     "filtered" : {
-        "query" : {
-            // query definition
-        },
-        "filter" : {
-            // filter definition
-        },
+        "query" :   { ... },
+        "filter" :  { ... ],
         "strategy": "leap_frog"
     }
 }
 --------------------------------------------------
 
-[horizontal]
-`leap_frog_query_first`::      Look for the first document matching the query, and then alternatively advance the query and the filter to find common matches.
-`leap_frog_filter_first`::     Look for the first document matching the filter, and then alternatively advance the query and the filter to find common matches.
-`leap_frog`::                  Same as `leap_frog_query_first`.
-`query_first`::                If the filter supports random access, then search for documents using the query, and then consult the filter to check whether there is a match. Otherwise fall back to `leap_frog_query_first`.
-`random_access_${threshold}`:: If the filter supports random access and if there is at least one matching document among the first `threshold` ones, then apply the filter first. Otherwise fall back to `leap_frog_query_first`. `${threshold}` must be greater than or equal to `1`.
-`random_access_always`::       Apply the filter first if it supports random access. Otherwise fall back to `leap_frog_query_first`.
+IMPORTANT: This is an _expert-level_ setting.  Most users can simply ignore it.
 
-The default strategy is to use `query_first` on filters that are not advanceable such as geo filters and script filters, and `random_access_100` on other filters.
+The `strategy` parameter accepts the following options:
+
+[horizontal]
+`leap_frog_query_first`::
+
+        Look for the first document matching the query, and then alternatively
+        advance the query and the filter to find common matches.
+
+`leap_frog_filter_first`::
+
+    Look for the first document matching the filter, and then alternatively
+    advance the query and the filter to find common matches.
+
+`leap_frog`::
+
+    Same as `leap_frog_query_first`.
+
+`query_first`::
+
+    If the filter supports random access, then search for documents using the
+    query, and then consult the filter to check whether there is a match.
+    Otherwise fall back to `leap_frog_query_first`.
+
+`random_access_${threshold}`::
+
+    If the filter supports random access and if there is at least one matching
+    document among the first `threshold` ones, then apply the filter first.
+    Otherwise fall back to `leap_frog_query_first`. `${threshold}` must be
+    greater than or equal to `1`.
+
+`random_access_always`::
+
+    Apply the filter first if it supports random access. Otherwise fall back
+    to `leap_frog_query_first`.
+
+The default strategy is to use `query_first` on filters that are not
+advanceable such as geo filters and script filters, and `random_access_100` on
+other filters.