diff --git a/docs/reference/query-dsl/semantic-query.asciidoc b/docs/reference/query-dsl/semantic-query.asciidoc
index f3f6aca3fd07a..11e19d6356081 100644
--- a/docs/reference/query-dsl/semantic-query.asciidoc
+++ b/docs/reference/query-dsl/semantic-query.asciidoc
@@ -40,209 +40,9 @@ The `semantic_text` field to perform the query on.
 (Required, string)
 The query text to be searched for on the field.
 
-`inner_hits`::
-(Optional, object)
-Retrieves the specific passages that match the query.
-See <<semantic-query-passage-ranking, passage ranking with the `semantic` query>> for more information.
-+
-.Properties of `inner_hits`
-[%collapsible%open]
-====
-`from`::
-(Optional, integer)
-The offset from the first matching passage to fetch.
-Used to paginate through the passages.
-Defaults to `0`.
-
-`size`::
-(Optional, integer)
-The maximum number of matching passages to return.
-Defaults to `3`.
-====
 
 Refer to <<semantic-search-semantic-text,this tutorial>> to learn more about semantic search using `semantic_text` and `semantic` query.
 
-[discrete]
-[[semantic-query-passage-ranking]]
-==== Passage ranking with the `semantic` query
-The `inner_hits` parameter can be used for _passage ranking_, which allows you to determine which passages in the document best match the query.
-For example, if you have a document that covers varying topics:
-
-[source,console]
-------------------------------------------------------------
-POST my-index/_doc/lake_tahoe
-{
-  "inference_field": [
-    "Lake Tahoe is the largest alpine lake in North America",
-    "When hiking in the area, please be on alert for bears"
-  ]
-}
-------------------------------------------------------------
-// TEST[skip: Requires inference endpoints]
-
-You can use passage ranking to find the passage that best matches your query:
-
-[source,console]
-------------------------------------------------------------
-GET my-index/_search
-{
-  "query": {
-    "semantic": {
-      "field": "inference_field",
-      "query": "mountain lake",
-      "inner_hits": { }
-    }
-  }
-}
-------------------------------------------------------------
-// TEST[skip: Requires inference endpoints]
-
-[source,console-result]
-------------------------------------------------------------
-{
-    "took": 67,
-    "timed_out": false,
-    "_shards": {
-        "total": 1,
-        "successful": 1,
-        "skipped": 0,
-        "failed": 0
-    },
-    "hits": {
-        "total": {
-            "value": 1,
-            "relation": "eq"
-        },
-        "max_score": 10.844536,
-        "hits": [
-            {
-                "_index": "my-index",
-                "_id": "lake_tahoe",
-                "_score": 10.844536,
-                "_source": {
-                    ...
-                },
-                "inner_hits": { <1>
-                    "inference_field": {
-                        "hits": {
-                            "total": {
-                                "value": 2,
-                                "relation": "eq"
-                            },
-                            "max_score": 10.844536,
-                            "hits": [
-                                {
-                                    "_index": "my-index",
-                                    "_id": "lake_tahoe",
-                                    "_nested": {
-                                        "field": "inference_field.inference.chunks",
-                                        "offset": 0
-                                    },
-                                    "_score": 10.844536,
-                                    "_source": {
-                                        "text": "Lake Tahoe is the largest alpine lake in North America"
-                                    }
-                                },
-                                {
-                                    "_index": "my-index",
-                                    "_id": "lake_tahoe",
-                                    "_nested": {
-                                        "field": "inference_field.inference.chunks",
-                                        "offset": 1
-                                    },
-                                    "_score": 3.2726858,
-                                    "_source": {
-                                        "text": "When hiking in the area, please be on alert for bears"
-                                    }
-                                }
-                            ]
-                        }
-                    }
-                }
-            }
-        ]
-    }
-}
-------------------------------------------------------------
-<1> Ranked passages will be returned using the <<inner-hits,`inner_hits` response format>>, with `<inner_hits_name>` set to the `semantic_text` field name.
-
-By default, the top three matching passages will be returned.
-You can use the `size` parameter to control the number of passages returned and the `from` parameter to page through the matching passages:
-
-[source,console]
-------------------------------------------------------------
-GET my-index/_search
-{
-  "query": {
-    "semantic": {
-      "field": "inference_field",
-      "query": "mountain lake",
-      "inner_hits": {
-        "from": 1,
-        "size": 1
-      }
-    }
-  }
-}
-------------------------------------------------------------
-// TEST[skip: Requires inference endpoints]
-
-[source,console-result]
-------------------------------------------------------------
-{
-    "took": 42,
-    "timed_out": false,
-    "_shards": {
-        "total": 1,
-        "successful": 1,
-        "skipped": 0,
-        "failed": 0
-    },
-    "hits": {
-        "total": {
-            "value": 1,
-            "relation": "eq"
-        },
-        "max_score": 10.844536,
-        "hits": [
-            {
-                "_index": "my-index",
-                "_id": "lake_tahoe",
-                "_score": 10.844536,
-                "_source": {
-                    ...
-                },
-                "inner_hits": {
-                    "inference_field": {
-                        "hits": {
-                            "total": {
-                                "value": 2,
-                                "relation": "eq"
-                            },
-                            "max_score": 10.844536,
-                            "hits": [
-                                {
-                                    "_index": "my-index",
-                                    "_id": "lake_tahoe",
-                                    "_nested": {
-                                        "field": "inference_field.inference.chunks",
-                                        "offset": 1
-                                    },
-                                    "_score": 3.2726858,
-                                    "_source": {
-                                        "text": "When hiking in the area, please be on alert for bears"
-                                    }
-                                }
-                            ]
-                        }
-                    }
-                }
-            }
-        ]
-    }
-}
-------------------------------------------------------------
-
 [discrete]
 [[hybrid-search-semantic]]
 ==== Hybrid search with the `semantic` query