diff --git a/elasticsearch/dsl/aggs.py b/elasticsearch/dsl/aggs.py
index ba5150803..3b7a8e8ba 100644
--- a/elasticsearch/dsl/aggs.py
+++ b/elasticsearch/dsl/aggs.py
@@ -678,9 +678,8 @@ class CategorizeText(Bucket[_R]):
     :arg categorization_analyzer: The categorization analyzer specifies
         how the text is analyzed and tokenized before being categorized.
         The syntax is very similar to that used to define the analyzer in
-        the [Analyze endpoint](https://www.elastic.co/guide/en/elasticsear
-        ch/reference/8.0/indices-analyze.html). This property cannot be
-        used at the same time as categorization_filters.
+        the `_analyze` endpoint. This property cannot be used at the same
+        time as categorization_filters.
     :arg shard_size: The number of categorization buckets to return from
         each shard before merging all the results.
     :arg size: The number of buckets to return. Defaults to `10` if
diff --git a/elasticsearch/dsl/field.py b/elasticsearch/dsl/field.py
index e3ed5dfcd..1aa7a4bca 100644
--- a/elasticsearch/dsl/field.py
+++ b/elasticsearch/dsl/field.py
@@ -280,7 +280,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -387,7 +390,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -463,7 +469,10 @@ def __init__(
         if subobjects is not DEFAULT:
             kwargs["subobjects"] = subobjects
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -575,6 +584,7 @@ class AggregateMetricDouble(Field):
     """
     :arg default_metric: (required)
     :arg metrics: (required)
+    :arg ignore_malformed:
     :arg time_series_metric:
     :arg meta: Metadata about the field.
     :arg properties:
@@ -595,6 +605,7 @@ def __init__(
         *args: Any,
         default_metric: Union[str, "DefaultType"] = DEFAULT,
         metrics: Union[Sequence[str], "DefaultType"] = DEFAULT,
+        ignore_malformed: Union[bool, "DefaultType"] = DEFAULT,
         time_series_metric: Union[
             Literal["gauge", "counter", "summary", "histogram", "position"],
             "DefaultType",
@@ -615,6 +626,8 @@ def __init__(
             kwargs["default_metric"] = default_metric
         if metrics is not DEFAULT:
             kwargs["metrics"] = metrics
+        if ignore_malformed is not DEFAULT:
+            kwargs["ignore_malformed"] = ignore_malformed
         if time_series_metric is not DEFAULT:
             kwargs["time_series_metric"] = time_series_metric
         if meta is not DEFAULT:
@@ -727,7 +740,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -838,7 +854,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -953,7 +972,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -1043,7 +1065,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -1251,7 +1276,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -1376,7 +1404,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -1455,7 +1486,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -1658,7 +1692,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -1733,7 +1770,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -1762,6 +1802,7 @@ class Flattened(Field):
     :arg null_value:
     :arg similarity:
     :arg split_queries_on_whitespace:
+    :arg time_series_dimensions:
     :arg meta: Metadata about the field.
     :arg properties:
     :arg ignore_above:
@@ -1790,6 +1831,7 @@ def __init__(
         null_value: Union[str, "DefaultType"] = DEFAULT,
         similarity: Union[str, "DefaultType"] = DEFAULT,
         split_queries_on_whitespace: Union[bool, "DefaultType"] = DEFAULT,
+        time_series_dimensions: Union[Sequence[str], "DefaultType"] = DEFAULT,
         meta: Union[Mapping[str, str], "DefaultType"] = DEFAULT,
         properties: Union[Mapping[str, Field], "DefaultType"] = DEFAULT,
         ignore_above: Union[int, "DefaultType"] = DEFAULT,
@@ -1820,6 +1862,8 @@ def __init__(
             kwargs["similarity"] = similarity
         if split_queries_on_whitespace is not DEFAULT:
             kwargs["split_queries_on_whitespace"] = split_queries_on_whitespace
+        if time_series_dimensions is not DEFAULT:
+            kwargs["time_series_dimensions"] = time_series_dimensions
         if meta is not DEFAULT:
             kwargs["meta"] = meta
         if properties is not DEFAULT:
@@ -1892,7 +1936,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -1918,6 +1965,7 @@ class GeoPoint(Field):
     :arg index:
     :arg on_script_error:
     :arg script:
+    :arg time_series_metric:
     :arg doc_values:
     :arg copy_to:
     :arg store:
@@ -1951,6 +1999,9 @@ def __init__(
         index: Union[bool, "DefaultType"] = DEFAULT,
         on_script_error: Union[Literal["fail", "continue"], "DefaultType"] = DEFAULT,
         script: Union["types.Script", Dict[str, Any], "DefaultType"] = DEFAULT,
+        time_series_metric: Union[
+            Literal["gauge", "counter", "position"], "DefaultType"
+        ] = DEFAULT,
         doc_values: Union[bool, "DefaultType"] = DEFAULT,
         copy_to: Union[
             Union[str, "InstrumentedField"],
@@ -1982,10 +2033,15 @@ def __init__(
             kwargs["on_script_error"] = on_script_error
         if script is not DEFAULT:
             kwargs["script"] = script
+        if time_series_metric is not DEFAULT:
+            kwargs["time_series_metric"] = time_series_metric
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -2074,7 +2130,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -2177,7 +2236,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -2360,7 +2422,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -2435,7 +2500,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -2527,7 +2595,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -2611,7 +2682,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -2781,7 +2855,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -2884,7 +2961,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -2959,7 +3039,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -3016,7 +3099,10 @@ def __init__(
         if meta is not DEFAULT:
             kwargs["meta"] = meta
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         super().__init__(*args, **kwargs)
 
 
@@ -3064,7 +3150,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -3134,7 +3223,10 @@ def __init__(
         if include_in_root is not DEFAULT:
             kwargs["include_in_root"] = include_in_root
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -3205,7 +3297,10 @@ def __init__(
         if time_series_dimension is not DEFAULT:
             kwargs["time_series_dimension"] = time_series_dimension
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -3334,7 +3429,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -3452,6 +3550,62 @@ def __init__(
         super().__init__(*args, **kwargs)
 
 
+class RankVectors(Field):
+    """
+    Technical preview
+
+    :arg element_type:
+    :arg dims:
+    :arg meta: Metadata about the field.
+    :arg properties:
+    :arg ignore_above:
+    :arg dynamic:
+    :arg fields:
+    :arg synthetic_source_keep:
+    """
+
+    name = "rank_vectors"
+    _param_defs = {
+        "properties": {"type": "field", "hash": True},
+        "fields": {"type": "field", "hash": True},
+    }
+
+    def __init__(
+        self,
+        *args: Any,
+        element_type: Union[Literal["byte", "float", "bit"], "DefaultType"] = DEFAULT,
+        dims: Union[int, "DefaultType"] = DEFAULT,
+        meta: Union[Mapping[str, str], "DefaultType"] = DEFAULT,
+        properties: Union[Mapping[str, Field], "DefaultType"] = DEFAULT,
+        ignore_above: Union[int, "DefaultType"] = DEFAULT,
+        dynamic: Union[
+            Literal["strict", "runtime", "true", "false"], bool, "DefaultType"
+        ] = DEFAULT,
+        fields: Union[Mapping[str, Field], "DefaultType"] = DEFAULT,
+        synthetic_source_keep: Union[
+            Literal["none", "arrays", "all"], "DefaultType"
+        ] = DEFAULT,
+        **kwargs: Any,
+    ):
+        if element_type is not DEFAULT:
+            kwargs["element_type"] = element_type
+        if dims is not DEFAULT:
+            kwargs["dims"] = dims
+        if meta is not DEFAULT:
+            kwargs["meta"] = meta
+        if properties is not DEFAULT:
+            kwargs["properties"] = properties
+        if ignore_above is not DEFAULT:
+            kwargs["ignore_above"] = ignore_above
+        if dynamic is not DEFAULT:
+            kwargs["dynamic"] = dynamic
+        if fields is not DEFAULT:
+            kwargs["fields"] = fields
+        if synthetic_source_keep is not DEFAULT:
+            kwargs["synthetic_source_keep"] = synthetic_source_keep
+        super().__init__(*args, **kwargs)
+
+
 class ScaledFloat(Float):
     """
     :arg null_value:
@@ -3541,7 +3695,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -3657,7 +3814,10 @@ def __init__(
         if term_vector is not DEFAULT:
             kwargs["term_vector"] = term_vector
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -3689,11 +3849,6 @@ class SemanticText(Field):
         by using the Update mapping API. Use the Create inference API to
         create the endpoint. If not specified, the inference endpoint
         defined by inference_id will be used at both index and query time.
-    :arg chunking_settings: Settings for chunking text into smaller
-        passages. If specified, these will override the chunking settings
-        sent in the inference endpoint associated with inference_id. If
-        chunking settings are updated, they will not be applied to
-        existing documents until they are reindexed.
     """
 
     name = "semantic_text"
@@ -3704,9 +3859,6 @@ def __init__(
         meta: Union[Mapping[str, str], "DefaultType"] = DEFAULT,
         inference_id: Union[str, "DefaultType"] = DEFAULT,
         search_inference_id: Union[str, "DefaultType"] = DEFAULT,
-        chunking_settings: Union[
-            "types.ChunkingSettings", Dict[str, Any], "DefaultType"
-        ] = DEFAULT,
         **kwargs: Any,
     ):
         if meta is not DEFAULT:
@@ -3715,8 +3867,6 @@ def __init__(
             kwargs["inference_id"] = inference_id
         if search_inference_id is not DEFAULT:
             kwargs["search_inference_id"] = search_inference_id
-        if chunking_settings is not DEFAULT:
-            kwargs["chunking_settings"] = chunking_settings
         super().__init__(*args, **kwargs)
 
 
@@ -3783,7 +3933,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -3886,7 +4039,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -3906,6 +4062,7 @@ def __init__(
 
 class SparseVector(Field):
     """
+    :arg store:
     :arg meta: Metadata about the field.
     :arg properties:
     :arg ignore_above:
@@ -3923,6 +4080,7 @@ class SparseVector(Field):
     def __init__(
         self,
         *args: Any,
+        store: Union[bool, "DefaultType"] = DEFAULT,
         meta: Union[Mapping[str, str], "DefaultType"] = DEFAULT,
         properties: Union[Mapping[str, Field], "DefaultType"] = DEFAULT,
         ignore_above: Union[int, "DefaultType"] = DEFAULT,
@@ -3935,6 +4093,8 @@ def __init__(
         ] = DEFAULT,
         **kwargs: Any,
     ):
+        if store is not DEFAULT:
+            kwargs["store"] = store
         if meta is not DEFAULT:
             kwargs["meta"] = meta
         if properties is not DEFAULT:
@@ -4070,7 +4230,10 @@ def __init__(
         if term_vector is not DEFAULT:
             kwargs["term_vector"] = term_vector
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -4153,7 +4316,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -4256,7 +4422,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -4318,7 +4487,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
@@ -4384,7 +4556,10 @@ def __init__(
         if doc_values is not DEFAULT:
             kwargs["doc_values"] = doc_values
         if copy_to is not DEFAULT:
-            kwargs["copy_to"] = str(copy_to)
+            if isinstance(copy_to, list):
+                kwargs["copy_to"] = [str(field) for field in copy_to]
+            else:
+                kwargs["copy_to"] = str(copy_to)
         if store is not DEFAULT:
             kwargs["store"] = store
         if meta is not DEFAULT:
diff --git a/elasticsearch/dsl/query.py b/elasticsearch/dsl/query.py
index 720f49f78..f203332e4 100644
--- a/elasticsearch/dsl/query.py
+++ b/elasticsearch/dsl/query.py
@@ -2034,8 +2034,9 @@ def __init__(
 class Rule(Query):
     """
     :arg organic: (required)
-    :arg ruleset_ids: (required)
     :arg match_criteria: (required)
+    :arg ruleset_ids:
+    :arg ruleset_id:
     :arg boost: Floating point number used to decrease or increase the
         relevance scores of the query. Boost values are relative to the
         default value of 1.0. A boost value between 0 and 1.0 decreases
@@ -2053,16 +2054,18 @@ def __init__(
         self,
         *,
         organic: Union[Query, "DefaultType"] = DEFAULT,
-        ruleset_ids: Union[Sequence[str], "DefaultType"] = DEFAULT,
         match_criteria: Any = DEFAULT,
+        ruleset_ids: Union[str, Sequence[str], "DefaultType"] = DEFAULT,
+        ruleset_id: Union[str, "DefaultType"] = DEFAULT,
         boost: Union[float, "DefaultType"] = DEFAULT,
         _name: Union[str, "DefaultType"] = DEFAULT,
         **kwargs: Any,
     ):
         super().__init__(
             organic=organic,
-            ruleset_ids=ruleset_ids,
             match_criteria=match_criteria,
+            ruleset_ids=ruleset_ids,
+            ruleset_id=ruleset_id,
             boost=boost,
             _name=_name,
             **kwargs,
diff --git a/elasticsearch/dsl/types.py b/elasticsearch/dsl/types.py
index d21f70698..5d7b88b32 100644
--- a/elasticsearch/dsl/types.py
+++ b/elasticsearch/dsl/types.py
@@ -170,48 +170,6 @@ def __init__(
         super().__init__(kwargs)
 
 
-class ChunkingSettings(AttrDict[Any]):
-    """
-    :arg strategy: (required) The chunking strategy: `sentence` or `word`.
-        Defaults to `sentence` if omitted.
-    :arg max_chunk_size: (required) The maximum size of a chunk in words.
-        This value cannot be higher than `300` or lower than `20` (for
-        `sentence` strategy) or `10` (for `word` strategy). Defaults to
-        `250` if omitted.
-    :arg overlap: The number of overlapping words for chunks. It is
-        applicable only to a `word` chunking strategy. This value cannot
-        be higher than half the `max_chunk_size` value. Defaults to `100`
-        if omitted.
-    :arg sentence_overlap: The number of overlapping sentences for chunks.
-        It is applicable only for a `sentence` chunking strategy. It can
-        be either `1` or `0`. Defaults to `1` if omitted.
-    """
-
-    strategy: Union[str, DefaultType]
-    max_chunk_size: Union[int, DefaultType]
-    overlap: Union[int, DefaultType]
-    sentence_overlap: Union[int, DefaultType]
-
-    def __init__(
-        self,
-        *,
-        strategy: Union[str, DefaultType] = DEFAULT,
-        max_chunk_size: Union[int, DefaultType] = DEFAULT,
-        overlap: Union[int, DefaultType] = DEFAULT,
-        sentence_overlap: Union[int, DefaultType] = DEFAULT,
-        **kwargs: Any,
-    ):
-        if strategy is not DEFAULT:
-            kwargs["strategy"] = strategy
-        if max_chunk_size is not DEFAULT:
-            kwargs["max_chunk_size"] = max_chunk_size
-        if overlap is not DEFAULT:
-            kwargs["overlap"] = overlap
-        if sentence_overlap is not DEFAULT:
-            kwargs["sentence_overlap"] = sentence_overlap
-        super().__init__(kwargs)
-
-
 class ClassificationInferenceOptions(AttrDict[Any]):
     """
     :arg num_top_classes: Specifies the number of top class predictions to
@@ -969,7 +927,7 @@ def __init__(
 
 class GeoGridQuery(AttrDict[Any]):
     """
-    :arg geogrid:
+    :arg geotile:
     :arg geohash:
     :arg geohex:
     :arg boost: Floating point number used to decrease or increase the
@@ -980,7 +938,7 @@ class GeoGridQuery(AttrDict[Any]):
     :arg _name:
     """
 
-    geogrid: Union[str, DefaultType]
+    geotile: Union[str, DefaultType]
     geohash: Union[str, DefaultType]
     geohex: Union[str, DefaultType]
     boost: Union[float, DefaultType]
@@ -989,15 +947,15 @@ class GeoGridQuery(AttrDict[Any]):
     def __init__(
         self,
         *,
-        geogrid: Union[str, DefaultType] = DEFAULT,
+        geotile: Union[str, DefaultType] = DEFAULT,
         geohash: Union[str, DefaultType] = DEFAULT,
         geohex: Union[str, DefaultType] = DEFAULT,
         boost: Union[float, DefaultType] = DEFAULT,
         _name: Union[str, DefaultType] = DEFAULT,
         **kwargs: Any,
     ):
-        if geogrid is not DEFAULT:
-            kwargs["geogrid"] = geogrid
+        if geotile is not DEFAULT:
+            kwargs["geotile"] = geotile
         if geohash is not DEFAULT:
             kwargs["geohash"] = geohash
         if geohex is not DEFAULT:
@@ -1823,6 +1781,8 @@ class IntervalsContainer(AttrDict[Any]):
     :arg match: Matches analyzed text.
     :arg prefix: Matches terms that start with a specified set of
         characters.
+    :arg range:
+    :arg regexp:
     :arg wildcard: Matches terms using a wildcard pattern.
     """
 
@@ -1831,6 +1791,8 @@ class IntervalsContainer(AttrDict[Any]):
     fuzzy: Union["IntervalsFuzzy", Dict[str, Any], DefaultType]
     match: Union["IntervalsMatch", Dict[str, Any], DefaultType]
     prefix: Union["IntervalsPrefix", Dict[str, Any], DefaultType]
+    range: Union["IntervalsRange", Dict[str, Any], DefaultType]
+    regexp: Union["IntervalsRegexp", Dict[str, Any], DefaultType]
     wildcard: Union["IntervalsWildcard", Dict[str, Any], DefaultType]
 
     def __init__(
@@ -1841,6 +1803,8 @@ def __init__(
         fuzzy: Union["IntervalsFuzzy", Dict[str, Any], DefaultType] = DEFAULT,
         match: Union["IntervalsMatch", Dict[str, Any], DefaultType] = DEFAULT,
         prefix: Union["IntervalsPrefix", Dict[str, Any], DefaultType] = DEFAULT,
+        range: Union["IntervalsRange", Dict[str, Any], DefaultType] = DEFAULT,
+        regexp: Union["IntervalsRegexp", Dict[str, Any], DefaultType] = DEFAULT,
         wildcard: Union["IntervalsWildcard", Dict[str, Any], DefaultType] = DEFAULT,
         **kwargs: Any,
     ):
@@ -1854,6 +1818,10 @@ def __init__(
             kwargs["match"] = match
         if prefix is not DEFAULT:
             kwargs["prefix"] = prefix
+        if range is not DEFAULT:
+            kwargs["range"] = range
+        if regexp is not DEFAULT:
+            kwargs["regexp"] = regexp
         if wildcard is not DEFAULT:
             kwargs["wildcard"] = wildcard
         super().__init__(kwargs)
@@ -2074,6 +2042,8 @@ class IntervalsQuery(AttrDict[Any]):
     :arg match: Matches analyzed text.
     :arg prefix: Matches terms that start with a specified set of
         characters.
+    :arg range:
+    :arg regexp:
     :arg wildcard: Matches terms using a wildcard pattern.
     :arg boost: Floating point number used to decrease or increase the
         relevance scores of the query. Boost values are relative to the
@@ -2088,6 +2058,8 @@ class IntervalsQuery(AttrDict[Any]):
     fuzzy: Union["IntervalsFuzzy", Dict[str, Any], DefaultType]
     match: Union["IntervalsMatch", Dict[str, Any], DefaultType]
     prefix: Union["IntervalsPrefix", Dict[str, Any], DefaultType]
+    range: Union["IntervalsRange", Dict[str, Any], DefaultType]
+    regexp: Union["IntervalsRegexp", Dict[str, Any], DefaultType]
     wildcard: Union["IntervalsWildcard", Dict[str, Any], DefaultType]
     boost: Union[float, DefaultType]
     _name: Union[str, DefaultType]
@@ -2100,6 +2072,8 @@ def __init__(
         fuzzy: Union["IntervalsFuzzy", Dict[str, Any], DefaultType] = DEFAULT,
         match: Union["IntervalsMatch", Dict[str, Any], DefaultType] = DEFAULT,
         prefix: Union["IntervalsPrefix", Dict[str, Any], DefaultType] = DEFAULT,
+        range: Union["IntervalsRange", Dict[str, Any], DefaultType] = DEFAULT,
+        regexp: Union["IntervalsRegexp", Dict[str, Any], DefaultType] = DEFAULT,
         wildcard: Union["IntervalsWildcard", Dict[str, Any], DefaultType] = DEFAULT,
         boost: Union[float, DefaultType] = DEFAULT,
         _name: Union[str, DefaultType] = DEFAULT,
@@ -2115,6 +2089,10 @@ def __init__(
             kwargs["match"] = match
         if prefix is not DEFAULT:
             kwargs["prefix"] = prefix
+        if range is not DEFAULT:
+            kwargs["range"] = range
+        if regexp is not DEFAULT:
+            kwargs["regexp"] = regexp
         if wildcard is not DEFAULT:
             kwargs["wildcard"] = wildcard
         if boost is not DEFAULT:
@@ -2124,6 +2102,83 @@ def __init__(
         super().__init__(kwargs)
 
 
+class IntervalsRange(AttrDict[Any]):
+    """
+    :arg analyzer: Analyzer used to analyze the `prefix`.
+    :arg gte: Lower term, either gte or gt must be provided.
+    :arg gt: Lower term, either gte or gt must be provided.
+    :arg lte: Upper term, either lte or lt must be provided.
+    :arg lt: Upper term, either lte or lt must be provided.
+    :arg use_field: If specified, match intervals from this field rather
+        than the top-level field. The `prefix` is normalized using the
+        search analyzer from this field, unless `analyzer` is specified
+        separately.
+    """
+
+    analyzer: Union[str, DefaultType]
+    gte: Union[str, DefaultType]
+    gt: Union[str, DefaultType]
+    lte: Union[str, DefaultType]
+    lt: Union[str, DefaultType]
+    use_field: Union[str, InstrumentedField, DefaultType]
+
+    def __init__(
+        self,
+        *,
+        analyzer: Union[str, DefaultType] = DEFAULT,
+        gte: Union[str, DefaultType] = DEFAULT,
+        gt: Union[str, DefaultType] = DEFAULT,
+        lte: Union[str, DefaultType] = DEFAULT,
+        lt: Union[str, DefaultType] = DEFAULT,
+        use_field: Union[str, InstrumentedField, DefaultType] = DEFAULT,
+        **kwargs: Any,
+    ):
+        if analyzer is not DEFAULT:
+            kwargs["analyzer"] = analyzer
+        if gte is not DEFAULT:
+            kwargs["gte"] = gte
+        if gt is not DEFAULT:
+            kwargs["gt"] = gt
+        if lte is not DEFAULT:
+            kwargs["lte"] = lte
+        if lt is not DEFAULT:
+            kwargs["lt"] = lt
+        if use_field is not DEFAULT:
+            kwargs["use_field"] = str(use_field)
+        super().__init__(kwargs)
+
+
+class IntervalsRegexp(AttrDict[Any]):
+    """
+    :arg pattern: (required) Regex pattern.
+    :arg analyzer: Analyzer used to analyze the `prefix`.
+    :arg use_field: If specified, match intervals from this field rather
+        than the top-level field. The `prefix` is normalized using the
+        search analyzer from this field, unless `analyzer` is specified
+        separately.
+    """
+
+    pattern: Union[str, DefaultType]
+    analyzer: Union[str, DefaultType]
+    use_field: Union[str, InstrumentedField, DefaultType]
+
+    def __init__(
+        self,
+        *,
+        pattern: Union[str, DefaultType] = DEFAULT,
+        analyzer: Union[str, DefaultType] = DEFAULT,
+        use_field: Union[str, InstrumentedField, DefaultType] = DEFAULT,
+        **kwargs: Any,
+    ):
+        if pattern is not DEFAULT:
+            kwargs["pattern"] = pattern
+        if analyzer is not DEFAULT:
+            kwargs["analyzer"] = analyzer
+        if use_field is not DEFAULT:
+            kwargs["use_field"] = str(use_field)
+        super().__init__(kwargs)
+
+
 class IntervalsWildcard(AttrDict[Any]):
     """
     :arg pattern: (required) Wildcard pattern used to find matching terms.
@@ -4828,7 +4883,7 @@ class ErrorCause(AttrDict[Any]):
     """
 
     type: str
-    reason: str
+    reason: Union[str, None]
     stack_trace: str
     caused_by: "ErrorCause"
     root_cause: Sequence["ErrorCause"]
diff --git a/test_elasticsearch/test_dsl/test_integration/_async/test_document.py b/test_elasticsearch/test_dsl/test_integration/_async/test_document.py
index e72955a0a..99f475cf1 100644
--- a/test_elasticsearch/test_dsl/test_integration/_async/test_document.py
+++ b/test_elasticsearch/test_dsl/test_integration/_async/test_document.py
@@ -23,7 +23,7 @@
 
 from datetime import datetime
 from ipaddress import ip_address
-from typing import TYPE_CHECKING, Any, AsyncIterator, Dict, List, Tuple, Union
+from typing import TYPE_CHECKING, Any, AsyncIterator, Dict, List, Optional, Tuple, Union
 
 import pytest
 from pytest import raises
@@ -42,6 +42,7 @@
     Ip,
     Keyword,
     Long,
+    M,
     Mapping,
     MetaField,
     Nested,
@@ -52,6 +53,8 @@
     analyzer,
     mapped_field,
 )
+from elasticsearch.dsl.query import Match
+from elasticsearch.dsl.types import MatchQuery
 from elasticsearch.dsl.utils import AttrList
 from elasticsearch.helpers.errors import BulkIndexError
 
@@ -850,3 +853,51 @@ class Index:
     assert docs[0].float_vector == doc.float_vector
     assert docs[0].byte_vector == doc.byte_vector
     assert docs[0].bit_vector == doc.bit_vector
+
+
+@pytest.mark.asyncio
+async def test_copy_to(async_client: AsyncElasticsearch) -> None:
+    class Person(AsyncDocument):
+        first_name: M[str] = mapped_field(Text(copy_to=["full_name", "all"]))
+        last_name: M[str] = mapped_field(Text(copy_to=["full_name", "all"]))
+        birth_place: M[str] = mapped_field(Text(copy_to="all"))
+        full_name: M[Optional[str]] = mapped_field(init=False)
+        all: M[Optional[str]] = mapped_field(init=False)
+
+        class Index:
+            name = "people"
+
+    await Person._index.delete(ignore_unavailable=True)
+    await Person.init()
+
+    person = Person(first_name="Jane", last_name="Doe", birth_place="Springfield")
+    await person.save()
+    await Person._index.refresh()
+
+    match = (
+        await Person.search()
+        .query(Match(Person.full_name, MatchQuery(query="Jane")))
+        .execute()
+    )
+    assert len(match) == 1
+
+    match = (
+        await Person.search()
+        .query(Match(Person.all, MatchQuery(query="Doe")))
+        .execute()
+    )
+    assert len(match) == 1
+
+    match = (
+        await Person.search()
+        .query(Match(Person.full_name, MatchQuery(query="Springfield")))
+        .execute()
+    )
+    assert len(match) == 0
+
+    match = (
+        await Person.search()
+        .query(Match(Person.all, MatchQuery(query="Springfield")))
+        .execute()
+    )
+    assert len(match) == 1
diff --git a/test_elasticsearch/test_dsl/test_integration/_sync/test_document.py b/test_elasticsearch/test_dsl/test_integration/_sync/test_document.py
index 13b60f71b..05dd05fd9 100644
--- a/test_elasticsearch/test_dsl/test_integration/_sync/test_document.py
+++ b/test_elasticsearch/test_dsl/test_integration/_sync/test_document.py
@@ -23,7 +23,7 @@
 
 from datetime import datetime
 from ipaddress import ip_address
-from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Tuple, Union
+from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional, Tuple, Union
 
 import pytest
 from pytest import raises
@@ -41,6 +41,7 @@
     Ip,
     Keyword,
     Long,
+    M,
     Mapping,
     MetaField,
     Nested,
@@ -52,6 +53,8 @@
     analyzer,
     mapped_field,
 )
+from elasticsearch.dsl.query import Match
+from elasticsearch.dsl.types import MatchQuery
 from elasticsearch.dsl.utils import AttrList
 from elasticsearch.helpers.errors import BulkIndexError
 
@@ -842,3 +845,47 @@ class Index:
     assert docs[0].float_vector == doc.float_vector
     assert docs[0].byte_vector == doc.byte_vector
     assert docs[0].bit_vector == doc.bit_vector
+
+
+@pytest.mark.sync
+def test_copy_to(client: Elasticsearch) -> None:
+    class Person(Document):
+        first_name: M[str] = mapped_field(Text(copy_to=["full_name", "all"]))
+        last_name: M[str] = mapped_field(Text(copy_to=["full_name", "all"]))
+        birth_place: M[str] = mapped_field(Text(copy_to="all"))
+        full_name: M[Optional[str]] = mapped_field(init=False)
+        all: M[Optional[str]] = mapped_field(init=False)
+
+        class Index:
+            name = "people"
+
+    Person._index.delete(ignore_unavailable=True)
+    Person.init()
+
+    person = Person(first_name="Jane", last_name="Doe", birth_place="Springfield")
+    person.save()
+    Person._index.refresh()
+
+    match = (
+        Person.search()
+        .query(Match(Person.full_name, MatchQuery(query="Jane")))
+        .execute()
+    )
+    assert len(match) == 1
+
+    match = Person.search().query(Match(Person.all, MatchQuery(query="Doe"))).execute()
+    assert len(match) == 1
+
+    match = (
+        Person.search()
+        .query(Match(Person.full_name, MatchQuery(query="Springfield")))
+        .execute()
+    )
+    assert len(match) == 0
+
+    match = (
+        Person.search()
+        .query(Match(Person.all, MatchQuery(query="Springfield")))
+        .execute()
+    )
+    assert len(match) == 1
diff --git a/utils/templates/field.py.tpl b/utils/templates/field.py.tpl
index 030060d23..8a4c73f33 100644
--- a/utils/templates/field.py.tpl
+++ b/utils/templates/field.py.tpl
@@ -245,7 +245,14 @@ class {{ k.name }}({{ k.parent }}):
             {% if not arg.positional %}
         if {{ arg.name }} is not DEFAULT:
                 {% if "InstrumentedField" in arg.type %}
+                    {% if "Sequence" in arg.type %}
+            if isinstance({{ arg.name }}, list):
+                kwargs["{{ arg.name }}"] = [str(field) for field in {{ arg.name }}]
+            else:
+                kwargs["{{ arg.name }}"] = str({{ arg.name }})
+                    {% else %}
             kwargs["{{ arg.name }}"] = str({{ arg.name }})
+                    {% endif %}
                 {% else %}
             kwargs["{{ arg.name }}"] = {{ arg.name }}
                 {% endif %}