Merge branch 'main' into es-12587-cps-enable-remote-cluster-server-port

Author: JeremyDahlgren

docs/changelog/131341.yaml

@@ -0,0 +1,5 @@
+pr: 131341
+summary: Consider min/max from predicates when transform date_trunc/bucket to `round_to`
+area: ES|QL
+type: enhancement
+issues: []

docs/changelog/131536.yaml

@@ -1,5 +1,5 @@
 pr: 131536
-summary: "Component Templates: Add `{created,modified}_date`"
+summary: "Component Templates: Add created and modified date"
 area: Ingest Node
 type: enhancement
 issues: []

docs/changelog/132083.yaml

@@ -0,0 +1,5 @@
+pr: 132083
+summary: "Index template: Add created_date and modified_date"
+area: Ingest Node
+type: enhancement
+issues: []

docs/changelog/132143.yaml

@@ -0,0 +1,6 @@
+pr: 132143
+summary: Consider min/max from predicates when transform date_trunc/bucket to `round_to`
+  option 2
+area: ES|QL
+type: enhancement
+issues: []

docs/changelog/132387.yaml

@@ -0,0 +1,6 @@
+pr: 132387
+summary: "[ExtraHop & QualysGAV] Add `manage`, `create_index`, `read`, `index`, `write`, `delete`, permission for third party agent indices `kibana_system`"
+area: Authorization
+type: enhancement
+issues:
+  - 131825

docs/changelog/132410.yaml

@@ -0,0 +1,5 @@
+pr: 132410
+summary: Add support for retrieving semantic_text's indexed chunks via fields API
+area: Vector Search
+type: feature
+issues: []

docs/changelog/132459.yaml

@@ -0,0 +1,5 @@
+pr: 132459
+summary: Small fixes for COPY_SIGN
+area: ES|QL
+type: bug
+issues: []

docs/changelog/132497.yaml

@@ -0,0 +1,5 @@
+pr: 132497
+summary: Add cache miss and read metrics
+area: Searchable Snapshots
+type: enhancement
+issues: []

docs/changelog/132511.yaml

@@ -0,0 +1,5 @@
+pr: 132511
+summary: Handle special regex cases for version fields
+area: Search
+type: bug
+issues: []

docs/reference/elasticsearch/mapping-reference/semantic-text.md

@@ -282,6 +282,34 @@ PUT test-index/_doc/1
     * Others (such as `elastic` and `elasticsearch`) will automatically truncate
       the input.
 
+## Retrieving indexed chunks
+```{applies_to}
+stack: ga 9.2
+serverless: ga
+```
+
+You can retrieve the individual chunks generated by your semantic field’s chunking
+strategy using the [fields parameter](/reference/elasticsearch/rest-apis/retrieve-selected-fields.md#search-fields-param):
+
+```console
+POST test-index/_search
+{
+  "query": {
+    "ids" : {
+      "values" : ["1"]
+    }
+  },
+  "fields": [
+    {
+      "field": "semantic_text_field",
+      "format": "chunks"      <1>
+    }
+  ]
+}
+```
+
+1. Use `"format": "chunks"` to return the field’s text as the original text chunks that were indexed.
+
 ## Extracting relevant fragments from semantic text [semantic-text-highlighting]
 
 You can extract the most relevant fragments from a semantic text field by using
@@ -311,27 +339,6 @@ POST test-index/_search
 2. Sorts the most relevant highlighted fragments by score when set to `score`. By default,
    fragments will be output in the order they appear in the field (order: none).
 
-To use the `semantic` highlighter to view chunks in the order which they were indexed with no scoring,
-use the `match_all` query to retrieve them in the order they appear in the document:
-
-```console
-POST test-index/_search
-{
-    "query": {
-        "match_all": {}
-    },
-    "highlight": {
-        "fields": {
-            "my_semantic_field": {
-                "number_of_fragments": 5  <1>
-            }
-        }
-    }
-}
-```
-
-1. This will return the first 5 chunks, set this number higher to retrieve more chunks.
-
 Highlighting is supported on fields other than semantic_text. However, if you
 want to restrict highlighting to the semantic highlighter and return no
 fragments when the field is not of type semantic_text, you can explicitly
@@ -359,6 +366,49 @@ PUT test-index
 
 1. Ensures that highlighting is applied exclusively to semantic_text fields.
 
+To retrieve all fragments from the `semantic` highlighter in their original indexing order
+without scoring, use a `match_all` query as the `highlight_query`.
+This ensures fragments are returned in the order they appear in the document:
+
+```console
+POST test-index/_search
+{
+  "query": {
+    "ids": {
+      "values": ["1"]
+    }
+  },
+  "highlight": {
+    "fields": {
+      "my_semantic_field": {
+        "number_of_fragments": 5,        <1>
+        "highlight_query": { "match_all": {} }
+      }
+    }
+  }
+}
+```
+
+1. Returns the first 5 fragments. Increase this value to retrieve additional fragments.
+
+## Updates and partial updates for `semantic_text` fields [semantic-text-updates]
+
+When updating documents that contain `semantic_text` fields, it’s important to understand how inference is triggered:
+
+* **Full document updates**
+  When you perform a full document update, **all `semantic_text` fields will re-run inference** even if their values did not change. This ensures that the embeddings are always consistent with the current document state but can increase ingestion costs.
+
+* **Partial updates using the Bulk API**
+  Partial updates that **omit `semantic_text` fields** and are submitted through the [Bulk API](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-bulk) will **reuse the existing embeddings** stored in the index. In this case, inference is **not triggered** for fields that were not updated, which can significantly reduce processing time and cost.
+
+* **Partial updates using the Update API**
+  When using the [Update API](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-update) with a `doc` object that **omits `semantic_text` fields**, inference **will still run** on all `semantic_text` fields. This means that even if the field values are not changed, embeddings will be re-generated.
+
+If you want to avoid unnecessary inference and keep existing embeddings:
+
+    * Use **partial updates through the Bulk API**.
+    * Omit any `semantic_text` fields that did not change from the `doc` object in your request.
+
 ## Customizing `semantic_text` indexing [custom-indexing]
 
 `semantic_text` uses defaults for indexing data based on the {{infer}} endpoint
@@ -404,24 +454,6 @@ PUT my-index-000004
 }
 ```
 
-### Customizing using ingest pipelines [custom-by-pipelines]
-```{applies_to}
-stack: ga 9.0
-```
-
-In case you want to customize data indexing, use the
-[`sparse_vector`](/reference/elasticsearch/mapping-reference/sparse-vector.md)
-or [`dense_vector`](/reference/elasticsearch/mapping-reference/dense-vector.md)
-field types and create an ingest pipeline with an
-[{{infer}} processor](/reference/enrich-processor/inference-processor.md) to
-generate the embeddings.
-[This tutorial](docs-content://solutions/search/semantic-search/semantic-search-inference.md)
-walks you through the process. In these cases - when you use `sparse_vector` or
-`dense_vector` field types instead of the `semantic_text` field type to
-customize indexing - using the
-[`semantic_query`](/reference/query-languages/query-dsl/query-dsl-semantic-query.md)
-is not supported for querying the field data.
-
 ## Updates to `semantic_text` fields [update-script]
 
 For indices containing `semantic_text` fields, updates that use scripts have the