diff --git a/integration/test_collection_query_profile.py b/integration/test_collection_query_profile.py
new file mode 100644
index 000000000..da93b90f5
--- /dev/null
+++ b/integration/test_collection_query_profile.py
@@ -0,0 +1,253 @@
+import re
+from typing import Any
+
+import pytest
+
+from weaviate.collections import Collection
+from weaviate.collections.classes.config import DataType, Property
+from weaviate.collections.classes.data import DataObject
+from weaviate.collections.classes.grpc import GroupBy, MetadataQuery
+from weaviate.collections.classes.internal import SearchProfileReturn
+from integration.conftest import CollectionFactory
+
+GO_DURATION_RE = re.compile(r"[\d.]+(ns|µs|ms|s|m|h)")
+
+
+def assert_go_duration(value: str, label: str = "") -> None:
+    """Assert that a string looks like a Go duration (e.g. '1.234ms', '5.458µs')."""
+    assert GO_DURATION_RE.fullmatch(value), (
+        f"Expected Go duration format for {label!r}, got {value!r}"
+    )
+
+
+def assert_common_profile(profile: SearchProfileReturn) -> None:
+    """Assertions shared by every search profile regardless of type."""
+    assert len(profile.details) > 0, "Profile details should not be empty"
+    assert "total_took" in profile.details
+    assert_go_duration(profile.details["total_took"], "total_took")
+    for key, value in profile.details.items():
+        assert isinstance(key, str) and key != ""
+        assert isinstance(value, str) and value != ""
+
+
+def _create_and_populate(collection_factory: CollectionFactory) -> Collection[Any, Any]:
+    collection = collection_factory(
+        properties=[Property(name="text", data_type=DataType.TEXT)],
+    )
+    if collection._connection._weaviate_version.is_lower_than(1, 36, 9):
+        pytest.skip("Query profiling requires Weaviate >= 1.36.9")
+    collection.data.insert_many(
+        [
+            DataObject(properties={"text": "hello world"}, vector=[1.0, 0.0, 0.0]),
+            DataObject(properties={"text": "goodbye world"}, vector=[0.0, 1.0, 0.0]),
+            DataObject(properties={"text": "foo bar baz"}, vector=[0.0, 0.0, 1.0]),
+        ]
+    )
+    return collection
+
+
+def test_fetch_objects_with_query_profile(collection_factory: CollectionFactory) -> None:
+    """Test that query profiling works with fetch_objects (object lookup)."""
+    collection = _create_and_populate(collection_factory)
+    result = collection.query.fetch_objects(
+        return_metadata=MetadataQuery(query_profile=True),
+    )
+    assert len(result.objects) == 3
+    assert result.query_profile is not None
+    assert len(result.query_profile.shards) > 0
+
+    shard = result.query_profile.shards[0]
+    assert shard.name != ""
+    assert shard.node != ""
+
+    assert "object" in shard.searches
+    assert "vector" not in shard.searches
+    assert "keyword" not in shard.searches
+    assert_common_profile(shard.searches["object"])
+
+
+def test_near_vector_with_query_profile(collection_factory: CollectionFactory) -> None:
+    """Test that query profiling works with near_vector search."""
+    collection = _create_and_populate(collection_factory)
+    result = collection.query.near_vector(
+        near_vector=[1.0, 0.0, 0.0],
+        return_metadata=MetadataQuery(query_profile=True, distance=True),
+        limit=2,
+    )
+    assert len(result.objects) == 2
+    assert result.query_profile is not None
+    assert len(result.query_profile.shards) > 0
+
+    shard = result.query_profile.shards[0]
+    assert "vector" in shard.searches
+    assert "keyword" not in shard.searches
+    assert "object" not in shard.searches
+    vector_profile = shard.searches["vector"]
+    assert_common_profile(vector_profile)
+
+    assert "vector_search_took" in vector_profile.details
+    assert_go_duration(vector_profile.details["vector_search_took"], "vector_search_took")
+
+    assert "hnsw_flat_search" in vector_profile.details
+    assert vector_profile.details["hnsw_flat_search"] in ("true", "false")
+
+    layer_keys = [k for k in vector_profile.details if k.startswith("knn_search_layer_")]
+    assert len(layer_keys) > 0, "Expected at least one knn_search_layer_*_took key"
+    for k in layer_keys:
+        assert_go_duration(vector_profile.details[k], k)
+
+    assert "objects_took" in vector_profile.details
+    assert_go_duration(vector_profile.details["objects_took"], "objects_took")
+
+
+def test_bm25_with_query_profile(collection_factory: CollectionFactory) -> None:
+    """Test that query profiling works with BM25 keyword search."""
+    collection = _create_and_populate(collection_factory)
+    result = collection.query.bm25(
+        query="hello",
+        return_metadata=MetadataQuery(query_profile=True, score=True),
+    )
+    assert result.query_profile is not None
+    assert len(result.query_profile.shards) > 0
+
+    shard = result.query_profile.shards[0]
+    assert "keyword" in shard.searches
+    assert "vector" not in shard.searches
+    assert "object" not in shard.searches
+    keyword_profile = shard.searches["keyword"]
+    assert_common_profile(keyword_profile)
+
+    assert "kwd_method" in keyword_profile.details
+    assert keyword_profile.details["kwd_method"] != ""
+
+    assert "kwd_time" in keyword_profile.details
+    assert_go_duration(keyword_profile.details["kwd_time"], "kwd_time")
+
+    assert "kwd_1_tok_time" in keyword_profile.details
+    assert_go_duration(keyword_profile.details["kwd_1_tok_time"], "kwd_1_tok_time")
+
+    assert "kwd_6_res_count" in keyword_profile.details
+    assert keyword_profile.details["kwd_6_res_count"].isdigit()
+    assert int(keyword_profile.details["kwd_6_res_count"]) >= 0
+
+
+def test_hybrid_with_query_profile(collection_factory: CollectionFactory) -> None:
+    """Test that query profiling works with hybrid search (both vector and keyword)."""
+    collection = _create_and_populate(collection_factory)
+    result = collection.query.hybrid(
+        query="hello",
+        vector=[1.0, 0.0, 0.0],
+        return_metadata=MetadataQuery(query_profile=True),
+        limit=2,
+    )
+    assert result.query_profile is not None
+    assert len(result.query_profile.shards) > 0
+
+    shard = result.query_profile.shards[0]
+    assert "vector" in shard.searches, "Hybrid should produce a 'vector' profile"
+    assert "keyword" in shard.searches, "Hybrid should produce a 'keyword' profile"
+    assert "object" not in shard.searches
+
+    assert_common_profile(shard.searches["vector"])
+    assert "vector_search_took" in shard.searches["vector"].details
+
+    assert_common_profile(shard.searches["keyword"])
+    assert "kwd_method" in shard.searches["keyword"].details
+
+
+def test_near_vector_group_by_with_query_profile(
+    collection_factory: CollectionFactory,
+) -> None:
+    """Test that query profiling works with group_by."""
+    collection = _create_and_populate(collection_factory)
+    result = collection.query.near_vector(
+        near_vector=[1.0, 0.0, 0.0],
+        return_metadata=MetadataQuery(query_profile=True),
+        group_by=GroupBy(prop="text", objects_per_group=1, number_of_groups=3),
+    )
+    assert result.query_profile is not None
+    assert len(result.query_profile.shards) > 0
+
+    shard = result.query_profile.shards[0]
+    assert "vector" in shard.searches
+    assert_common_profile(shard.searches["vector"])
+
+
+def test_full_with_profile(collection_factory: CollectionFactory) -> None:
+    """Test that MetadataQuery.full_with_profile() returns profiling and all other metadata."""
+    collection = _create_and_populate(collection_factory)
+    result = collection.query.near_vector(
+        near_vector=[1.0, 0.0, 0.0],
+        return_metadata=MetadataQuery.full_with_profile(),
+        limit=1,
+    )
+    assert len(result.objects) == 1
+    obj = result.objects[0]
+    assert obj.metadata.distance is not None
+    assert obj.metadata.creation_time is not None
+    assert obj.metadata.last_update_time is not None
+    assert obj.metadata.score is not None
+    assert obj.metadata.explain_score is not None
+
+    assert result.query_profile is not None
+    assert len(result.query_profile.shards) > 0
+    assert_common_profile(result.query_profile.shards[0].searches["vector"])
+
+
+def test_full_excludes_query_profile(collection_factory: CollectionFactory) -> None:
+    """Test that MetadataQuery.full() does not include query profiling."""
+    collection = _create_and_populate(collection_factory)
+    result = collection.query.fetch_objects(
+        return_metadata=MetadataQuery.full(),
+    )
+    assert result.query_profile is None
+
+
+def test_no_query_profile_when_not_requested(
+    collection_factory: CollectionFactory,
+) -> None:
+    """Test that query_profile is None when not requested."""
+    collection = _create_and_populate(collection_factory)
+    result = collection.query.fetch_objects(
+        return_metadata=MetadataQuery(distance=True),
+    )
+    assert result.query_profile is None
+
+
+def test_query_profile_with_metadata_list(
+    collection_factory: CollectionFactory,
+) -> None:
+    """Test that query profiling works when using list-style metadata."""
+    collection = _create_and_populate(collection_factory)
+    result = collection.query.near_vector(
+        near_vector=[1.0, 0.0, 0.0],
+        return_metadata=["query_profile", "distance"],
+        limit=2,
+    )
+    assert result.query_profile is not None
+    assert len(result.query_profile.shards) > 0
+
+    shard = result.query_profile.shards[0]
+    assert "vector" in shard.searches
+    assert_common_profile(shard.searches["vector"])
+
+
+def test_query_profile_details_are_strings(
+    collection_factory: CollectionFactory,
+) -> None:
+    """Test that all detail keys and values are non-empty strings."""
+    collection = _create_and_populate(collection_factory)
+    result = collection.query.near_vector(
+        near_vector=[1.0, 0.0, 0.0],
+        return_metadata=MetadataQuery(query_profile=True),
+        limit=1,
+    )
+    assert result.query_profile is not None
+    for shard in result.query_profile.shards:
+        assert len(shard.searches) > 0, "Shard should have at least one search profile"
+        for search_type, profile in shard.searches.items():
+            assert isinstance(search_type, str) and search_type != ""
+            assert len(profile.details) > 0
+            for key, value in profile.details.items():
+                assert isinstance(key, str) and key != ""
+                assert isinstance(value, str) and value != ""
diff --git a/weaviate/collections/classes/grpc.py b/weaviate/collections/classes/grpc.py
index bff0e35ca..bdcc53dd9 100644
--- a/weaviate/collections/classes/grpc.py
+++ b/weaviate/collections/classes/grpc.py
@@ -90,10 +90,32 @@ class MetadataQuery(_WeaviateInput):
     score: bool = Field(default=False)
     explain_score: bool = Field(default=False)
     is_consistent: bool = Field(default=False)
+    query_profile: bool = Field(default=False)
 
     @classmethod
     def full(cls) -> "MetadataQuery":
-        """Return a MetadataQuery with all fields set to True."""
+        """Return a MetadataQuery with all fields set to True.
+
+        NOTE: `query_profile` is excluded because it adds performance overhead.
+        Use `full_with_profile()` to include it.
+        """
+        return cls(
+            creation_time=True,
+            last_update_time=True,
+            distance=True,
+            certainty=True,
+            score=True,
+            explain_score=True,
+            is_consistent=True,
+        )
+
+    @classmethod
+    def full_with_profile(cls) -> "MetadataQuery":
+        """Return a MetadataQuery with all fields set to True, including query profiling.
+
+        Query profiling adds per-shard execution timing breakdowns to the response
+        but has performance overhead. Requires Weaviate >= 1.36.9.
+        """
         return cls(
             creation_time=True,
             last_update_time=True,
@@ -102,6 +124,7 @@ def full(cls) -> "MetadataQuery":
             score=True,
             explain_score=True,
             is_consistent=True,
+            query_profile=True,
         )
 
 
@@ -117,6 +140,7 @@ class _MetadataQuery:
     explain_score: bool = False
     is_consistent: bool = False
     vectors: Optional[List[str]] = None
+    query_profile: bool = False
 
     @classmethod
     def from_public(
@@ -138,6 +162,7 @@ def from_public(
                 score=public.score,
                 explain_score=public.explain_score,
                 is_consistent=public.is_consistent,
+                query_profile=public.query_profile,
             )
         )
 
@@ -152,6 +177,7 @@ def from_public(
             "score",
             "explain_score",
             "is_consistent",
+            "query_profile",
         ]
     ],
     MetadataQuery,
diff --git a/weaviate/collections/classes/internal.py b/weaviate/collections/classes/internal.py
index f4d542f66..55a69c5cd 100644
--- a/weaviate/collections/classes/internal.py
+++ b/weaviate/collections/classes/internal.py
@@ -90,6 +90,29 @@ def _is_empty(self) -> bool:
         )
 
 
+@dataclass
+class SearchProfileReturn:
+    """Profiling details for a single search type within a shard."""
+
+    details: Dict[str, str]
+
+
+@dataclass
+class ShardProfileReturn:
+    """Profiling data for a single shard."""
+
+    name: str
+    node: str
+    searches: Dict[str, SearchProfileReturn]
+
+
+@dataclass
+class QueryProfileReturn:
+    """Per-shard query profiling data returned when `query_profile=True` is set in metadata."""
+
+    shards: List[ShardProfileReturn]
+
+
 @dataclass
 class GroupByMetadataReturn:
     """Metadata of an object returned by a group by query."""
@@ -210,6 +233,7 @@ class GenerativeReturn(Generic[P, R]):
     __generated: Optional[str]
     objects: List[GenerativeObject[P, R]]
     generative: Optional[GenerativeGrouped]
+    query_profile: Optional[QueryProfileReturn]
 
     # init required because of nuances of dataclass when defining @property generated and private var __generated
     def __init__(
@@ -217,10 +241,12 @@ def __init__(
         generated: Optional[str],
         objects: List[GenerativeObject[P, R]],
         generative: Optional[GenerativeGrouped],
+        query_profile: Optional[QueryProfileReturn] = None,
     ) -> None:
         self.__generated = generated
         self.objects = objects
         self.generative = generative
+        self.query_profile = query_profile
 
     @property
     @deprecated(
@@ -257,6 +283,7 @@ class GenerativeGroupByReturn(Generic[P, R]):
     objects: List[GroupByObject[P, R]]
     groups: Dict[str, GenerativeGroup[P, R]]
     generated: Optional[str]
+    query_profile: Optional[QueryProfileReturn] = None
 
 
 @dataclass
@@ -265,6 +292,7 @@ class GroupByReturn(Generic[P, R]):
 
     objects: List[GroupByObject[P, R]]
     groups: Dict[str, Group[P, R]]
+    query_profile: Optional[QueryProfileReturn] = None
 
 
 @dataclass
@@ -272,6 +300,7 @@ class QueryReturn(Generic[P, R]):
     """The return type of a query within the `.query` namespace of a collection."""
 
     objects: List[Object[P, R]]
+    query_profile: Optional[QueryProfileReturn] = None
 
 
 _GQLEntryReturnType: TypeAlias = Dict[str, List[Dict[str, Any]]]
diff --git a/weaviate/collections/grpc/query.py b/weaviate/collections/grpc/query.py
index 1ac014ada..d635a3f2f 100644
--- a/weaviate/collections/grpc/query.py
+++ b/weaviate/collections/grpc/query.py
@@ -521,6 +521,7 @@ def _metadata_to_grpc(self, metadata: _MetadataQuery) -> search_get_pb2.Metadata
             score=metadata.score,
             is_consistent=metadata.is_consistent,
             vectors=metadata.vectors,
+            query_profile=metadata.query_profile,
         )
 
     def __resolve_property(self, prop: QueryNested) -> search_get_pb2.ObjectPropertiesRequest:
diff --git a/weaviate/collections/queries/base_executor.py b/weaviate/collections/queries/base_executor.py
index e721d9edb..f3eb36399 100644
--- a/weaviate/collections/queries/base_executor.py
+++ b/weaviate/collections/queries/base_executor.py
@@ -40,9 +40,12 @@
     GroupByReturn,
     MetadataReturn,
     Object,
+    QueryProfileReturn,
     QueryReturn,
     ReturnProperties,
     ReturnReferences,
+    SearchProfileReturn,
+    ShardProfileReturn,
     WeaviateProperties,
     _CrossReference,
     _extract_properties_from_data_model,
@@ -53,7 +56,7 @@
 from weaviate.collections.grpc.query import _QueryGRPC
 from weaviate.collections.grpc.shared import _ByteOps, _Unpack
 from weaviate.connect.v4 import ConnectionType
-from weaviate.exceptions import WeaviateInvalidInputError
+from weaviate.exceptions import WeaviateInvalidInputError, WeaviateUnsupportedFeatureError
 from weaviate.proto.v1 import base_pb2, generative_pb2, properties_pb2, search_get_pb2
 from weaviate.types import INCLUDE_VECTOR
 from weaviate.util import (
@@ -452,6 +455,25 @@ def __result_to_group_by_object(
             belongs_to_group=group_name,
         )
 
+    def __extract_query_profile(
+        self, res: search_get_pb2.SearchReply
+    ) -> Optional[QueryProfileReturn]:
+        if not res.HasField("query_profile"):
+            return None
+        return QueryProfileReturn(
+            shards=[
+                ShardProfileReturn(
+                    name=shard.name,
+                    node=shard.node,
+                    searches={
+                        key: SearchProfileReturn(details=dict(profile.details))
+                        for key, profile in shard.searches.items()
+                    },
+                )
+                for shard in res.query_profile.shards
+            ]
+        )
+
     def _result_to_query_return(
         self,
         res: search_get_pb2.SearchReply,
@@ -461,7 +483,8 @@ def _result_to_query_return(
             objects=[
                 self.__result_to_query_object(obj.properties, obj.metadata, options)
                 for obj in res.results
-            ]
+            ],
+            query_profile=self.__extract_query_profile(res),
         )
 
     def _result_to_generative_query_return(
@@ -480,6 +503,7 @@ def _result_to_generative_query_return(
             generative=self.__extract_generative_grouped_from_generative(
                 res.generative_grouped_results
             ),
+            query_profile=self.__extract_query_profile(res),
         )
 
     def _result_to_generative_return(
@@ -507,7 +531,11 @@ def _result_to_groupby_return(
         objects_group_by: List[GroupByObject] = [
             obj for group in groups.values() for obj in group.objects
         ]
-        return GroupByReturn(objects=objects_group_by, groups=groups)
+        return GroupByReturn(
+            objects=objects_group_by,
+            groups=groups,
+            query_profile=self.__extract_query_profile(res),
+        )
 
     def _result_to_generative_groupby_return(
         self,
@@ -537,6 +565,7 @@ def _result_to_generative_groupby_return(
             generated=(
                 res.generative_grouped_result if res.generative_grouped_result != "" else None
             ),
+            query_profile=self.__extract_query_profile(res),
         )
 
     def _result_to_query_or_groupby_return(
@@ -615,6 +644,13 @@ def _parse_return_metadata(
             ret_md = cast(MetadataQuery, return_metadata)
         else:
             ret_md = MetadataQuery(**{str(prop): True for prop in return_metadata})
+
+        if ret_md is not None and ret_md.query_profile:
+            if self._connection._weaviate_version.is_lower_than(1, 36, 9):
+                raise WeaviateUnsupportedFeatureError(
+                    "Query profiling", str(self._connection._weaviate_version), "1.36.9"
+                )
+
         return _MetadataQuery.from_public(ret_md, include_vector)
 
     def _parse_return_references(
diff --git a/weaviate/outputs/query.py b/weaviate/outputs/query.py
index 42ede14b3..625d669d8 100644
--- a/weaviate/outputs/query.py
+++ b/weaviate/outputs/query.py
@@ -32,11 +32,14 @@
     Object,
     ObjectSingleReturn,
     QueryNearMediaReturnType,
+    QueryProfileReturn,
     QueryReturn,
     QueryReturnType,
     QuerySingleReturn,
     ReferenceInput,
     ReferenceInputs,
+    SearchProfileReturn,
+    ShardProfileReturn,
 )
 from weaviate.collections.classes.types import (
     GeoCoordinate,
@@ -75,11 +78,14 @@
     "GenerativeGroup",
     "PhoneNumberType",
     "QueryNearMediaReturnType",
+    "QueryProfileReturn",
     "QueryReturnType",
     "QueryReturn",
     "QuerySingleReturn",
     "ReferenceInput",
     "ReferenceInputs",
+    "SearchProfileReturn",
+    "ShardProfileReturn",
     "Sorting",
     "TargetVectorJoinType",
     "WeaviateField",
diff --git a/weaviate/proto/v1/v4216/v1/search_get_pb2.py b/weaviate/proto/v1/v4216/v1/search_get_pb2.py
index 7885e57d6..78f20076e 100644
--- a/weaviate/proto/v1/v4216/v1/search_get_pb2.py
+++ b/weaviate/proto/v1/v4216/v1/search_get_pb2.py
@@ -17,7 +17,7 @@
 from weaviate.proto.v1.v4216.v1 import properties_pb2 as v1_dot_properties__pb2
 
 
-DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x13v1/search_get.proto\x12\x0bweaviate.v1\x1a\rv1/base.proto\x1a\x14v1/base_search.proto\x1a\x13v1/generative.proto\x1a\x13v1/properties.proto\"\x9c\x0b\n\rSearchRequest\x12\x12\n\ncollection\x18\x01 \x01(\t\x12\x0e\n\x06tenant\x18\n \x01(\t\x12=\n\x11\x63onsistency_level\x18\x0b \x01(\x0e\x32\x1d.weaviate.v1.ConsistencyLevelH\x00\x88\x01\x01\x12\x37\n\nproperties\x18\x14 \x01(\x0b\x32\x1e.weaviate.v1.PropertiesRequestH\x01\x88\x01\x01\x12\x33\n\x08metadata\x18\x15 \x01(\x0b\x32\x1c.weaviate.v1.MetadataRequestH\x02\x88\x01\x01\x12+\n\x08group_by\x18\x16 \x01(\x0b\x32\x14.weaviate.v1.GroupByH\x03\x88\x01\x01\x12\r\n\x05limit\x18\x1e \x01(\r\x12\x0e\n\x06offset\x18\x1f \x01(\r\x12\x0f\n\x07\x61utocut\x18  \x01(\r\x12\r\n\x05\x61\x66ter\x18! \x01(\t\x12$\n\x07sort_by\x18\" \x03(\x0b\x32\x13.weaviate.v1.SortBy\x12*\n\x07\x66ilters\x18( \x01(\x0b\x32\x14.weaviate.v1.FiltersH\x04\x88\x01\x01\x12/\n\rhybrid_search\x18) 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+DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x13v1/search_get.proto\x12\x0bweaviate.v1\x1a\rv1/base.proto\x1a\x14v1/base_search.proto\x1a\x13v1/generative.proto\x1a\x13v1/properties.proto\"\x9c\x0b\n\rSearchRequest\x12\x12\n\ncollection\x18\x01 \x01(\t\x12\x0e\n\x06tenant\x18\n \x01(\t\x12=\n\x11\x63onsistency_level\x18\x0b \x01(\x0e\x32\x1d.weaviate.v1.ConsistencyLevelH\x00\x88\x01\x01\x12\x37\n\nproperties\x18\x14 \x01(\x0b\x32\x1e.weaviate.v1.PropertiesRequestH\x01\x88\x01\x01\x12\x33\n\x08metadata\x18\x15 \x01(\x0b\x32\x1c.weaviate.v1.MetadataRequestH\x02\x88\x01\x01\x12+\n\x08group_by\x18\x16 \x01(\x0b\x32\x14.weaviate.v1.GroupByH\x03\x88\x01\x01\x12\r\n\x05limit\x18\x1e \x01(\r\x12\x0e\n\x06offset\x18\x1f \x01(\r\x12\x0f\n\x07\x61utocut\x18  \x01(\r\x12\r\n\x05\x61\x66ter\x18! \x01(\t\x12$\n\x07sort_by\x18\" \x03(\x0b\x32\x13.weaviate.v1.SortBy\x12*\n\x07\x66ilters\x18( \x01(\x0b\x32\x14.weaviate.v1.FiltersH\x04\x88\x01\x01\x12/\n\rhybrid_search\x18) 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\x03(\x0b\x32$.weaviate.v1.ObjectPropertiesRequest\"\xb1\x01\n\x14RefPropertiesRequest\x12\x1a\n\x12reference_property\x18\x01 \x01(\t\x12\x32\n\nproperties\x18\x02 \x01(\x0b\x32\x1e.weaviate.v1.PropertiesRequest\x12.\n\x08metadata\x18\x03 \x01(\x0b\x32\x1c.weaviate.v1.MetadataRequest\x12\x19\n\x11target_collection\x18\x04 \x01(\t\"8\n\x06Rerank\x12\x10\n\x08property\x18\x01 \x01(\t\x12\x12\n\x05query\x18\x02 \x01(\tH\x00\x88\x01\x01\x42\x08\n\x06_query\"\xf7\x02\n\x0bSearchReply\x12\x0c\n\x04took\x18\x01 \x01(\x02\x12*\n\x07results\x18\x02 \x03(\x0b\x32\x19.weaviate.v1.SearchResult\x12*\n\x19generative_grouped_result\x18\x03 \x01(\tB\x02\x18\x01H\x00\x88\x01\x01\x12\x34\n\x10group_by_results\x18\x04 \x03(\x0b\x32\x1a.weaviate.v1.GroupByResult\x12\x46\n\x1agenerative_grouped_results\x18\x05 \x01(\x0b\x32\x1d.weaviate.v1.GenerativeResultH\x01\x88\x01\x01\x12\x35\n\rquery_profile\x18\x06 \x01(\x0b\x32\x19.weaviate.v1.QueryProfileH\x02\x88\x01\x01\x42\x1c\n\x1a_generative_grouped_resultB\x1d\n\x1b_generative_grouped_resultsB\x10\n\x0e_query_profile\"\x9e\x03\n\x0cQueryProfile\x12\x36\n\x06shards\x18\x01 \x03(\x0b\x32&.weaviate.v1.QueryProfile.ShardProfile\x1a\x86\x01\n\rSearchProfile\x12\x45\n\x07\x64\x65tails\x18\x01 \x03(\x0b\x32\x34.weaviate.v1.QueryProfile.SearchProfile.DetailsEntry\x1a.\n\x0c\x44\x65tailsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\x1a\xcc\x01\n\x0cShardProfile\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x0c\n\x04node\x18\x02 \x01(\t\x12\x46\n\x08searches\x18\x03 \x03(\x0b\x32\x34.weaviate.v1.QueryProfile.ShardProfile.SearchesEntry\x1aX\n\rSearchesEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\x36\n\x05value\x18\x02 \x01(\x0b\x32\'.weaviate.v1.QueryProfile.SearchProfile:\x02\x38\x01\"\x1c\n\x0bRerankReply\x12\r\n\x05score\x18\x01 \x01(\x01\"\xe9\x02\n\rGroupByResult\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x14\n\x0cmin_distance\x18\x02 \x01(\x02\x12\x14\n\x0cmax_distance\x18\x03 \x01(\x02\x12\x19\n\x11number_of_objects\x18\x04 \x01(\x03\x12*\n\x07objects\x18\x05 \x03(\x0b\x32\x19.weaviate.v1.SearchResult\x12-\n\x06rerank\x18\x06 \x01(\x0b\x32\x18.weaviate.v1.RerankReplyH\x00\x88\x01\x01\x12\x39\n\ngenerative\x18\x07 \x01(\x0b\x32\x1c.weaviate.v1.GenerativeReplyB\x02\x18\x01H\x01\x88\x01\x01\x12=\n\x11generative_result\x18\x08 \x01(\x0b\x32\x1d.weaviate.v1.GenerativeResultH\x02\x88\x01\x01\x42\t\n\x07_rerankB\r\n\x0b_generativeB\x14\n\x12_generative_result\"\xb7\x01\n\x0cSearchResult\x12\x31\n\nproperties\x18\x01 \x01(\x0b\x32\x1d.weaviate.v1.PropertiesResult\x12-\n\x08metadata\x18\x02 \x01(\x0b\x32\x1b.weaviate.v1.MetadataResult\x12\x36\n\ngenerative\x18\x03 \x01(\x0b\x32\x1d.weaviate.v1.GenerativeResultH\x00\x88\x01\x01\x42\r\n\x0b_generative\"\xf7\x04\n\x0eMetadataResult\x12\n\n\x02id\x18\x01 \x01(\t\x12\x12\n\x06vector\x18\x02 \x03(\x02\x42\x02\x18\x01\x12\x1a\n\x12\x63reation_time_unix\x18\x03 \x01(\x03\x12\"\n\x1a\x63reation_time_unix_present\x18\x04 \x01(\x08\x12\x1d\n\x15last_update_time_unix\x18\x05 \x01(\x03\x12%\n\x1dlast_update_time_unix_present\x18\x06 \x01(\x08\x12\x10\n\x08\x64istance\x18\x07 \x01(\x02\x12\x18\n\x10\x64istance_present\x18\x08 \x01(\x08\x12\x11\n\tcertainty\x18\t \x01(\x02\x12\x19\n\x11\x63\x65rtainty_present\x18\n \x01(\x08\x12\r\n\x05score\x18\x0b \x01(\x02\x12\x15\n\rscore_present\x18\x0c \x01(\x08\x12\x15\n\rexplain_score\x18\r \x01(\t\x12\x1d\n\x15\x65xplain_score_present\x18\x0e \x01(\x08\x12\x1a\n\ris_consistent\x18\x0f \x01(\x08H\x00\x88\x01\x01\x12\x16\n\ngenerative\x18\x10 \x01(\tB\x02\x18\x01\x12\x1e\n\x12generative_present\x18\x11 \x01(\x08\x42\x02\x18\x01\x12\x1d\n\x15is_consistent_present\x18\x12 \x01(\x08\x12\x14\n\x0cvector_bytes\x18\x13 \x01(\x0c\x12\x13\n\x0bid_as_bytes\x18\x14 \x01(\x0c\x12\x14\n\x0crerank_score\x18\x15 \x01(\x01\x12\x1c\n\x14rerank_score_present\x18\x16 \x01(\x08\x12%\n\x07vectors\x18\x17 \x03(\x0b\x32\x14.weaviate.v1.VectorsB\x10\n\x0e_is_consistent\"\x88\x02\n\x10PropertiesResult\x12\x33\n\tref_props\x18\x02 \x03(\x0b\x32 .weaviate.v1.RefPropertiesResult\x12\x19\n\x11target_collection\x18\x03 \x01(\t\x12-\n\x08metadata\x18\x04 \x01(\x0b\x32\x1b.weaviate.v1.MetadataResult\x12.\n\rnon_ref_props\x18\x0b \x01(\x0b\x32\x17.weaviate.v1.Properties\x12\x1b\n\x13ref_props_requested\x18\x0c \x01(\x08J\x04\x08\x01\x10\x02J\x04\x08\x05\x10\x06J\x04\x08\x06\x10\x07J\x04\x08\x07\x10\x08J\x04\x08\x08\x10\tJ\x04\x08\t\x10\nJ\x04\x08\n\x10\x0b\"[\n\x13RefPropertiesResult\x12\x31\n\nproperties\x18\x01 \x03(\x0b\x32\x1d.weaviate.v1.PropertiesResult\x12\x11\n\tprop_name\x18\x02 \x01(\tBs\n#io.weaviate.client.grpc.protocol.v1B\x16WeaviateProtoSearchGetZ4github.com/weaviate/weaviate/grpc/generated;protocolb\x06proto3')
 
 _globals = globals()
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
@@ -31,6 +31,10 @@
   _SEARCHREQUEST.fields_by_name['uses_125_api']._serialized_options = b'\030\001'
   _SEARCHREPLY.fields_by_name['generative_grouped_result']._options = None
   _SEARCHREPLY.fields_by_name['generative_grouped_result']._serialized_options = b'\030\001'
+  _QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY._options = None
+  _QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY._serialized_options = b'8\001'
+  _QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY._options = None
+  _QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY._serialized_options = b'8\001'
   _GROUPBYRESULT.fields_by_name['generative']._options = None
   _GROUPBYRESULT.fields_by_name['generative']._serialized_options = b'\030\001'
   _METADATARESULT.fields_by_name['vector']._options = None
@@ -46,27 +50,37 @@
   _globals['_SORTBY']._serialized_start=1632
   _globals['_SORTBY']._serialized_end=1673
   _globals['_METADATAREQUEST']._serialized_start=1676
-  _globals['_METADATAREQUEST']._serialized_end=1897
-  _globals['_PROPERTIESREQUEST']._serialized_start=1900
-  _globals['_PROPERTIESREQUEST']._serialized_end=2109
-  _globals['_OBJECTPROPERTIESREQUEST']._serialized_start=2112
-  _globals['_OBJECTPROPERTIESREQUEST']._serialized_end=2251
-  _globals['_REFPROPERTIESREQUEST']._serialized_start=2254
-  _globals['_REFPROPERTIESREQUEST']._serialized_end=2431
-  _globals['_RERANK']._serialized_start=2433
-  _globals['_RERANK']._serialized_end=2489
-  _globals['_SEARCHREPLY']._serialized_start=2492
-  _globals['_SEARCHREPLY']._serialized_end=2794
-  _globals['_RERANKREPLY']._serialized_start=2796
-  _globals['_RERANKREPLY']._serialized_end=2824
-  _globals['_GROUPBYRESULT']._serialized_start=2827
-  _globals['_GROUPBYRESULT']._serialized_end=3188
-  _globals['_SEARCHRESULT']._serialized_start=3191
-  _globals['_SEARCHRESULT']._serialized_end=3374
-  _globals['_METADATARESULT']._serialized_start=3377
-  _globals['_METADATARESULT']._serialized_end=4008
-  _globals['_PROPERTIESRESULT']._serialized_start=4011
-  _globals['_PROPERTIESRESULT']._serialized_end=4275
-  _globals['_REFPROPERTIESRESULT']._serialized_start=4277
-  _globals['_REFPROPERTIESRESULT']._serialized_end=4368
+  _globals['_METADATAREQUEST']._serialized_end=1920
+  _globals['_PROPERTIESREQUEST']._serialized_start=1923
+  _globals['_PROPERTIESREQUEST']._serialized_end=2132
+  _globals['_OBJECTPROPERTIESREQUEST']._serialized_start=2135
+  _globals['_OBJECTPROPERTIESREQUEST']._serialized_end=2274
+  _globals['_REFPROPERTIESREQUEST']._serialized_start=2277
+  _globals['_REFPROPERTIESREQUEST']._serialized_end=2454
+  _globals['_RERANK']._serialized_start=2456
+  _globals['_RERANK']._serialized_end=2512
+  _globals['_SEARCHREPLY']._serialized_start=2515
+  _globals['_SEARCHREPLY']._serialized_end=2890
+  _globals['_QUERYPROFILE']._serialized_start=2893
+  _globals['_QUERYPROFILE']._serialized_end=3307
+  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_start=2966
+  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_end=3100
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_start=3054
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_end=3100
+  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_start=3103
+  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_end=3307
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_start=3219
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_end=3307
+  _globals['_RERANKREPLY']._serialized_start=3309
+  _globals['_RERANKREPLY']._serialized_end=3337
+  _globals['_GROUPBYRESULT']._serialized_start=3340
+  _globals['_GROUPBYRESULT']._serialized_end=3701
+  _globals['_SEARCHRESULT']._serialized_start=3704
+  _globals['_SEARCHRESULT']._serialized_end=3887
+  _globals['_METADATARESULT']._serialized_start=3890
+  _globals['_METADATARESULT']._serialized_end=4521
+  _globals['_PROPERTIESRESULT']._serialized_start=4524
+  _globals['_PROPERTIESRESULT']._serialized_end=4788
+  _globals['_REFPROPERTIESRESULT']._serialized_start=4790
+  _globals['_REFPROPERTIESRESULT']._serialized_end=4881
 # @@protoc_insertion_point(module_scope)
diff --git a/weaviate/proto/v1/v4216/v1/search_get_pb2.pyi b/weaviate/proto/v1/v4216/v1/search_get_pb2.pyi
index 9dd1ee0d0..a0300e672 100644
--- a/weaviate/proto/v1/v4216/v1/search_get_pb2.pyi
+++ b/weaviate/proto/v1/v4216/v1/search_get_pb2.pyi
@@ -88,7 +88,7 @@ class SortBy(_message.Message):
     def __init__(self, ascending: bool = ..., path: _Optional[_Iterable[str]] = ...) -> None: ...
 
 class MetadataRequest(_message.Message):
-    __slots__ = ["uuid", "vector", "creation_time_unix", "last_update_time_unix", "distance", "certainty", "score", "explain_score", "is_consistent", "vectors"]
+    __slots__ = ["uuid", "vector", "creation_time_unix", "last_update_time_unix", "distance", "certainty", "score", "explain_score", "is_consistent", "vectors", "query_profile"]
     UUID_FIELD_NUMBER: _ClassVar[int]
     VECTOR_FIELD_NUMBER: _ClassVar[int]
     CREATION_TIME_UNIX_FIELD_NUMBER: _ClassVar[int]
@@ -99,6 +99,7 @@ class MetadataRequest(_message.Message):
     EXPLAIN_SCORE_FIELD_NUMBER: _ClassVar[int]
     IS_CONSISTENT_FIELD_NUMBER: _ClassVar[int]
     VECTORS_FIELD_NUMBER: _ClassVar[int]
+    QUERY_PROFILE_FIELD_NUMBER: _ClassVar[int]
     uuid: bool
     vector: bool
     creation_time_unix: bool
@@ -109,7 +110,8 @@ class MetadataRequest(_message.Message):
     explain_score: bool
     is_consistent: bool
     vectors: _containers.RepeatedScalarFieldContainer[str]
-    def __init__(self, uuid: bool = ..., vector: bool = ..., creation_time_unix: bool = ..., last_update_time_unix: bool = ..., distance: bool = ..., certainty: bool = ..., score: bool = ..., explain_score: bool = ..., is_consistent: bool = ..., vectors: _Optional[_Iterable[str]] = ...) -> None: ...
+    query_profile: bool
+    def __init__(self, uuid: bool = ..., vector: bool = ..., creation_time_unix: bool = ..., last_update_time_unix: bool = ..., distance: bool = ..., certainty: bool = ..., score: bool = ..., explain_score: bool = ..., is_consistent: bool = ..., vectors: _Optional[_Iterable[str]] = ..., query_profile: bool = ...) -> None: ...
 
 class PropertiesRequest(_message.Message):
     __slots__ = ["non_ref_properties", "ref_properties", "object_properties", "return_all_nonref_properties"]
@@ -154,18 +156,54 @@ class Rerank(_message.Message):
     def __init__(self, property: _Optional[str] = ..., query: _Optional[str] = ...) -> None: ...
 
 class SearchReply(_message.Message):
-    __slots__ = ["took", "results", "generative_grouped_result", "group_by_results", "generative_grouped_results"]
+    __slots__ = ["took", "results", "generative_grouped_result", "group_by_results", "generative_grouped_results", "query_profile"]
     TOOK_FIELD_NUMBER: _ClassVar[int]
     RESULTS_FIELD_NUMBER: _ClassVar[int]
     GENERATIVE_GROUPED_RESULT_FIELD_NUMBER: _ClassVar[int]
     GROUP_BY_RESULTS_FIELD_NUMBER: _ClassVar[int]
     GENERATIVE_GROUPED_RESULTS_FIELD_NUMBER: _ClassVar[int]
+    QUERY_PROFILE_FIELD_NUMBER: _ClassVar[int]
     took: float
     results: _containers.RepeatedCompositeFieldContainer[SearchResult]
     generative_grouped_result: str
     group_by_results: _containers.RepeatedCompositeFieldContainer[GroupByResult]
     generative_grouped_results: _generative_pb2.GenerativeResult
-    def __init__(self, took: _Optional[float] = ..., results: _Optional[_Iterable[_Union[SearchResult, _Mapping]]] = ..., generative_grouped_result: _Optional[str] = ..., group_by_results: _Optional[_Iterable[_Union[GroupByResult, _Mapping]]] = ..., generative_grouped_results: _Optional[_Union[_generative_pb2.GenerativeResult, _Mapping]] = ...) -> None: ...
+    query_profile: QueryProfile
+    def __init__(self, took: _Optional[float] = ..., results: _Optional[_Iterable[_Union[SearchResult, _Mapping]]] = ..., generative_grouped_result: _Optional[str] = ..., group_by_results: _Optional[_Iterable[_Union[GroupByResult, _Mapping]]] = ..., generative_grouped_results: _Optional[_Union[_generative_pb2.GenerativeResult, _Mapping]] = ..., query_profile: _Optional[_Union[QueryProfile, _Mapping]] = ...) -> None: ...
+
+class QueryProfile(_message.Message):
+    __slots__ = ["shards"]
+    class SearchProfile(_message.Message):
+        __slots__ = ["details"]
+        class DetailsEntry(_message.Message):
+            __slots__ = ["key", "value"]
+            KEY_FIELD_NUMBER: _ClassVar[int]
+            VALUE_FIELD_NUMBER: _ClassVar[int]
+            key: str
+            value: str
+            def __init__(self, key: _Optional[str] = ..., value: _Optional[str] = ...) -> None: ...
+        DETAILS_FIELD_NUMBER: _ClassVar[int]
+        details: _containers.ScalarMap[str, str]
+        def __init__(self, details: _Optional[_Mapping[str, str]] = ...) -> None: ...
+    class ShardProfile(_message.Message):
+        __slots__ = ["name", "node", "searches"]
+        class SearchesEntry(_message.Message):
+            __slots__ = ["key", "value"]
+            KEY_FIELD_NUMBER: _ClassVar[int]
+            VALUE_FIELD_NUMBER: _ClassVar[int]
+            key: str
+            value: QueryProfile.SearchProfile
+            def __init__(self, key: _Optional[str] = ..., value: _Optional[_Union[QueryProfile.SearchProfile, _Mapping]] = ...) -> None: ...
+        NAME_FIELD_NUMBER: _ClassVar[int]
+        NODE_FIELD_NUMBER: _ClassVar[int]
+        SEARCHES_FIELD_NUMBER: _ClassVar[int]
+        name: str
+        node: str
+        searches: _containers.MessageMap[str, QueryProfile.SearchProfile]
+        def __init__(self, name: _Optional[str] = ..., node: _Optional[str] = ..., searches: _Optional[_Mapping[str, QueryProfile.SearchProfile]] = ...) -> None: ...
+    SHARDS_FIELD_NUMBER: _ClassVar[int]
+    shards: _containers.RepeatedCompositeFieldContainer[QueryProfile.ShardProfile]
+    def __init__(self, shards: _Optional[_Iterable[_Union[QueryProfile.ShardProfile, _Mapping]]] = ...) -> None: ...
 
 class RerankReply(_message.Message):
     __slots__ = ["score"]
diff --git a/weaviate/proto/v1/v5261/v1/search_get_pb2.py b/weaviate/proto/v1/v5261/v1/search_get_pb2.py
index 04356c19f..7686973af 100644
--- a/weaviate/proto/v1/v5261/v1/search_get_pb2.py
+++ b/weaviate/proto/v1/v5261/v1/search_get_pb2.py
@@ -18,7 +18,7 @@
 from weaviate.proto.v1.v5261.v1 import properties_pb2 as v1_dot_properties__pb2
 
 
-DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x13v1/search_get.proto\x12\x0bweaviate.v1\x1a\rv1/base.proto\x1a\x14v1/base_search.proto\x1a\x13v1/generative.proto\x1a\x13v1/properties.proto\"\x9c\x0b\n\rSearchRequest\x12\x12\n\ncollection\x18\x01 \x01(\t\x12\x0e\n\x06tenant\x18\n \x01(\t\x12=\n\x11\x63onsistency_level\x18\x0b \x01(\x0e\x32\x1d.weaviate.v1.ConsistencyLevelH\x00\x88\x01\x01\x12\x37\n\nproperties\x18\x14 \x01(\x0b\x32\x1e.weaviate.v1.PropertiesRequestH\x01\x88\x01\x01\x12\x33\n\x08metadata\x18\x15 \x01(\x0b\x32\x1c.weaviate.v1.MetadataRequestH\x02\x88\x01\x01\x12+\n\x08group_by\x18\x16 \x01(\x0b\x32\x14.weaviate.v1.GroupByH\x03\x88\x01\x01\x12\r\n\x05limit\x18\x1e \x01(\r\x12\x0e\n\x06offset\x18\x1f \x01(\r\x12\x0f\n\x07\x61utocut\x18  \x01(\r\x12\r\n\x05\x61\x66ter\x18! \x01(\t\x12$\n\x07sort_by\x18\" \x03(\x0b\x32\x13.weaviate.v1.SortBy\x12*\n\x07\x66ilters\x18( \x01(\x0b\x32\x14.weaviate.v1.FiltersH\x04\x88\x01\x01\x12/\n\rhybrid_search\x18) \x01(\x0b\x32\x13.weaviate.v1.HybridH\x05\x88\x01\x01\x12+\n\x0b\x62m25_search\x18* \x01(\x0b\x32\x11.weaviate.v1.BM25H\x06\x88\x01\x01\x12\x31\n\x0bnear_vector\x18+ \x01(\x0b\x32\x17.weaviate.v1.NearVectorH\x07\x88\x01\x01\x12\x31\n\x0bnear_object\x18, \x01(\x0b\x32\x17.weaviate.v1.NearObjectH\x08\x88\x01\x01\x12\x33\n\tnear_text\x18- \x01(\x0b\x32\x1b.weaviate.v1.NearTextSearchH\t\x88\x01\x01\x12\x35\n\nnear_image\x18. \x01(\x0b\x32\x1c.weaviate.v1.NearImageSearchH\n\x88\x01\x01\x12\x35\n\nnear_audio\x18/ \x01(\x0b\x32\x1c.weaviate.v1.NearAudioSearchH\x0b\x88\x01\x01\x12\x35\n\nnear_video\x18\x30 \x01(\x0b\x32\x1c.weaviate.v1.NearVideoSearchH\x0c\x88\x01\x01\x12\x35\n\nnear_depth\x18\x31 \x01(\x0b\x32\x1c.weaviate.v1.NearDepthSearchH\r\x88\x01\x01\x12\x39\n\x0cnear_thermal\x18\x32 \x01(\x0b\x32\x1e.weaviate.v1.NearThermalSearchH\x0e\x88\x01\x01\x12\x31\n\x08near_imu\x18\x33 \x01(\x0b\x32\x1a.weaviate.v1.NearIMUSearchH\x0f\x88\x01\x01\x12\x36\n\ngenerative\x18< 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\x01(\t\x12\x14\n\x0cmin_distance\x18\x02 \x01(\x02\x12\x14\n\x0cmax_distance\x18\x03 \x01(\x02\x12\x19\n\x11number_of_objects\x18\x04 \x01(\x03\x12*\n\x07objects\x18\x05 \x03(\x0b\x32\x19.weaviate.v1.SearchResult\x12-\n\x06rerank\x18\x06 \x01(\x0b\x32\x18.weaviate.v1.RerankReplyH\x00\x88\x01\x01\x12\x39\n\ngenerative\x18\x07 \x01(\x0b\x32\x1c.weaviate.v1.GenerativeReplyB\x02\x18\x01H\x01\x88\x01\x01\x12=\n\x11generative_result\x18\x08 \x01(\x0b\x32\x1d.weaviate.v1.GenerativeResultH\x02\x88\x01\x01\x42\t\n\x07_rerankB\r\n\x0b_generativeB\x14\n\x12_generative_result\"\xb7\x01\n\x0cSearchResult\x12\x31\n\nproperties\x18\x01 \x01(\x0b\x32\x1d.weaviate.v1.PropertiesResult\x12-\n\x08metadata\x18\x02 \x01(\x0b\x32\x1b.weaviate.v1.MetadataResult\x12\x36\n\ngenerative\x18\x03 \x01(\x0b\x32\x1d.weaviate.v1.GenerativeResultH\x00\x88\x01\x01\x42\r\n\x0b_generative\"\xf7\x04\n\x0eMetadataResult\x12\n\n\x02id\x18\x01 \x01(\t\x12\x12\n\x06vector\x18\x02 \x03(\x02\x42\x02\x18\x01\x12\x1a\n\x12\x63reation_time_unix\x18\x03 \x01(\x03\x12\"\n\x1a\x63reation_time_unix_present\x18\x04 \x01(\x08\x12\x1d\n\x15last_update_time_unix\x18\x05 \x01(\x03\x12%\n\x1dlast_update_time_unix_present\x18\x06 \x01(\x08\x12\x10\n\x08\x64istance\x18\x07 \x01(\x02\x12\x18\n\x10\x64istance_present\x18\x08 \x01(\x08\x12\x11\n\tcertainty\x18\t \x01(\x02\x12\x19\n\x11\x63\x65rtainty_present\x18\n \x01(\x08\x12\r\n\x05score\x18\x0b \x01(\x02\x12\x15\n\rscore_present\x18\x0c \x01(\x08\x12\x15\n\rexplain_score\x18\r \x01(\t\x12\x1d\n\x15\x65xplain_score_present\x18\x0e \x01(\x08\x12\x1a\n\ris_consistent\x18\x0f \x01(\x08H\x00\x88\x01\x01\x12\x16\n\ngenerative\x18\x10 \x01(\tB\x02\x18\x01\x12\x1e\n\x12generative_present\x18\x11 \x01(\x08\x42\x02\x18\x01\x12\x1d\n\x15is_consistent_present\x18\x12 \x01(\x08\x12\x14\n\x0cvector_bytes\x18\x13 \x01(\x0c\x12\x13\n\x0bid_as_bytes\x18\x14 \x01(\x0c\x12\x14\n\x0crerank_score\x18\x15 \x01(\x01\x12\x1c\n\x14rerank_score_present\x18\x16 \x01(\x08\x12%\n\x07vectors\x18\x17 \x03(\x0b\x32\x14.weaviate.v1.VectorsB\x10\n\x0e_is_consistent\"\x88\x02\n\x10PropertiesResult\x12\x33\n\tref_props\x18\x02 \x03(\x0b\x32 .weaviate.v1.RefPropertiesResult\x12\x19\n\x11target_collection\x18\x03 \x01(\t\x12-\n\x08metadata\x18\x04 \x01(\x0b\x32\x1b.weaviate.v1.MetadataResult\x12.\n\rnon_ref_props\x18\x0b \x01(\x0b\x32\x17.weaviate.v1.Properties\x12\x1b\n\x13ref_props_requested\x18\x0c \x01(\x08J\x04\x08\x01\x10\x02J\x04\x08\x05\x10\x06J\x04\x08\x06\x10\x07J\x04\x08\x07\x10\x08J\x04\x08\x08\x10\tJ\x04\x08\t\x10\nJ\x04\x08\n\x10\x0b\"[\n\x13RefPropertiesResult\x12\x31\n\nproperties\x18\x01 \x03(\x0b\x32\x1d.weaviate.v1.PropertiesResult\x12\x11\n\tprop_name\x18\x02 \x01(\tBs\n#io.weaviate.client.grpc.protocol.v1B\x16WeaviateProtoSearchGetZ4github.com/weaviate/weaviate/grpc/generated;protocolb\x06proto3')
 
 _globals = globals()
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
@@ -32,6 +32,10 @@
   _globals['_SEARCHREQUEST'].fields_by_name['uses_125_api']._serialized_options = b'\030\001'
   _globals['_SEARCHREPLY'].fields_by_name['generative_grouped_result']._loaded_options = None
   _globals['_SEARCHREPLY'].fields_by_name['generative_grouped_result']._serialized_options = b'\030\001'
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._loaded_options = None
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_options = b'8\001'
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._loaded_options = None
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_options = b'8\001'
   _globals['_GROUPBYRESULT'].fields_by_name['generative']._loaded_options = None
   _globals['_GROUPBYRESULT'].fields_by_name['generative']._serialized_options = b'\030\001'
   _globals['_METADATARESULT'].fields_by_name['vector']._loaded_options = None
@@ -47,27 +51,37 @@
   _globals['_SORTBY']._serialized_start=1632
   _globals['_SORTBY']._serialized_end=1673
   _globals['_METADATAREQUEST']._serialized_start=1676
-  _globals['_METADATAREQUEST']._serialized_end=1897
-  _globals['_PROPERTIESREQUEST']._serialized_start=1900
-  _globals['_PROPERTIESREQUEST']._serialized_end=2109
-  _globals['_OBJECTPROPERTIESREQUEST']._serialized_start=2112
-  _globals['_OBJECTPROPERTIESREQUEST']._serialized_end=2251
-  _globals['_REFPROPERTIESREQUEST']._serialized_start=2254
-  _globals['_REFPROPERTIESREQUEST']._serialized_end=2431
-  _globals['_RERANK']._serialized_start=2433
-  _globals['_RERANK']._serialized_end=2489
-  _globals['_SEARCHREPLY']._serialized_start=2492
-  _globals['_SEARCHREPLY']._serialized_end=2794
-  _globals['_RERANKREPLY']._serialized_start=2796
-  _globals['_RERANKREPLY']._serialized_end=2824
-  _globals['_GROUPBYRESULT']._serialized_start=2827
-  _globals['_GROUPBYRESULT']._serialized_end=3188
-  _globals['_SEARCHRESULT']._serialized_start=3191
-  _globals['_SEARCHRESULT']._serialized_end=3374
-  _globals['_METADATARESULT']._serialized_start=3377
-  _globals['_METADATARESULT']._serialized_end=4008
-  _globals['_PROPERTIESRESULT']._serialized_start=4011
-  _globals['_PROPERTIESRESULT']._serialized_end=4275
-  _globals['_REFPROPERTIESRESULT']._serialized_start=4277
-  _globals['_REFPROPERTIESRESULT']._serialized_end=4368
+  _globals['_METADATAREQUEST']._serialized_end=1920
+  _globals['_PROPERTIESREQUEST']._serialized_start=1923
+  _globals['_PROPERTIESREQUEST']._serialized_end=2132
+  _globals['_OBJECTPROPERTIESREQUEST']._serialized_start=2135
+  _globals['_OBJECTPROPERTIESREQUEST']._serialized_end=2274
+  _globals['_REFPROPERTIESREQUEST']._serialized_start=2277
+  _globals['_REFPROPERTIESREQUEST']._serialized_end=2454
+  _globals['_RERANK']._serialized_start=2456
+  _globals['_RERANK']._serialized_end=2512
+  _globals['_SEARCHREPLY']._serialized_start=2515
+  _globals['_SEARCHREPLY']._serialized_end=2890
+  _globals['_QUERYPROFILE']._serialized_start=2893
+  _globals['_QUERYPROFILE']._serialized_end=3307
+  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_start=2966
+  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_end=3100
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_start=3054
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_end=3100
+  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_start=3103
+  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_end=3307
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_start=3219
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_end=3307
+  _globals['_RERANKREPLY']._serialized_start=3309
+  _globals['_RERANKREPLY']._serialized_end=3337
+  _globals['_GROUPBYRESULT']._serialized_start=3340
+  _globals['_GROUPBYRESULT']._serialized_end=3701
+  _globals['_SEARCHRESULT']._serialized_start=3704
+  _globals['_SEARCHRESULT']._serialized_end=3887
+  _globals['_METADATARESULT']._serialized_start=3890
+  _globals['_METADATARESULT']._serialized_end=4521
+  _globals['_PROPERTIESRESULT']._serialized_start=4524
+  _globals['_PROPERTIESRESULT']._serialized_end=4788
+  _globals['_REFPROPERTIESRESULT']._serialized_start=4790
+  _globals['_REFPROPERTIESRESULT']._serialized_end=4881
 # @@protoc_insertion_point(module_scope)
diff --git a/weaviate/proto/v1/v5261/v1/search_get_pb2.pyi b/weaviate/proto/v1/v5261/v1/search_get_pb2.pyi
index 4a28237d9..783ca3564 100644
--- a/weaviate/proto/v1/v5261/v1/search_get_pb2.pyi
+++ b/weaviate/proto/v1/v5261/v1/search_get_pb2.pyi
@@ -88,7 +88,7 @@ class SortBy(_message.Message):
     def __init__(self, ascending: bool = ..., path: _Optional[_Iterable[str]] = ...) -> None: ...
 
 class MetadataRequest(_message.Message):
-    __slots__ = ("uuid", "vector", "creation_time_unix", "last_update_time_unix", "distance", "certainty", "score", "explain_score", "is_consistent", "vectors")
+    __slots__ = ("uuid", "vector", "creation_time_unix", "last_update_time_unix", "distance", "certainty", "score", "explain_score", "is_consistent", "vectors", "query_profile")
     UUID_FIELD_NUMBER: _ClassVar[int]
     VECTOR_FIELD_NUMBER: _ClassVar[int]
     CREATION_TIME_UNIX_FIELD_NUMBER: _ClassVar[int]
@@ -99,6 +99,7 @@ class MetadataRequest(_message.Message):
     EXPLAIN_SCORE_FIELD_NUMBER: _ClassVar[int]
     IS_CONSISTENT_FIELD_NUMBER: _ClassVar[int]
     VECTORS_FIELD_NUMBER: _ClassVar[int]
+    QUERY_PROFILE_FIELD_NUMBER: _ClassVar[int]
     uuid: bool
     vector: bool
     creation_time_unix: bool
@@ -109,7 +110,8 @@ class MetadataRequest(_message.Message):
     explain_score: bool
     is_consistent: bool
     vectors: _containers.RepeatedScalarFieldContainer[str]
-    def __init__(self, uuid: bool = ..., vector: bool = ..., creation_time_unix: bool = ..., last_update_time_unix: bool = ..., distance: bool = ..., certainty: bool = ..., score: bool = ..., explain_score: bool = ..., is_consistent: bool = ..., vectors: _Optional[_Iterable[str]] = ...) -> None: ...
+    query_profile: bool
+    def __init__(self, uuid: bool = ..., vector: bool = ..., creation_time_unix: bool = ..., last_update_time_unix: bool = ..., distance: bool = ..., certainty: bool = ..., score: bool = ..., explain_score: bool = ..., is_consistent: bool = ..., vectors: _Optional[_Iterable[str]] = ..., query_profile: bool = ...) -> None: ...
 
 class PropertiesRequest(_message.Message):
     __slots__ = ("non_ref_properties", "ref_properties", "object_properties", "return_all_nonref_properties")
@@ -154,18 +156,54 @@ class Rerank(_message.Message):
     def __init__(self, property: _Optional[str] = ..., query: _Optional[str] = ...) -> None: ...
 
 class SearchReply(_message.Message):
-    __slots__ = ("took", "results", "generative_grouped_result", "group_by_results", "generative_grouped_results")
+    __slots__ = ("took", "results", "generative_grouped_result", "group_by_results", "generative_grouped_results", "query_profile")
     TOOK_FIELD_NUMBER: _ClassVar[int]
     RESULTS_FIELD_NUMBER: _ClassVar[int]
     GENERATIVE_GROUPED_RESULT_FIELD_NUMBER: _ClassVar[int]
     GROUP_BY_RESULTS_FIELD_NUMBER: _ClassVar[int]
     GENERATIVE_GROUPED_RESULTS_FIELD_NUMBER: _ClassVar[int]
+    QUERY_PROFILE_FIELD_NUMBER: _ClassVar[int]
     took: float
     results: _containers.RepeatedCompositeFieldContainer[SearchResult]
     generative_grouped_result: str
     group_by_results: _containers.RepeatedCompositeFieldContainer[GroupByResult]
     generative_grouped_results: _generative_pb2.GenerativeResult
-    def __init__(self, took: _Optional[float] = ..., results: _Optional[_Iterable[_Union[SearchResult, _Mapping]]] = ..., generative_grouped_result: _Optional[str] = ..., group_by_results: _Optional[_Iterable[_Union[GroupByResult, _Mapping]]] = ..., generative_grouped_results: _Optional[_Union[_generative_pb2.GenerativeResult, _Mapping]] = ...) -> None: ...
+    query_profile: QueryProfile
+    def __init__(self, took: _Optional[float] = ..., results: _Optional[_Iterable[_Union[SearchResult, _Mapping]]] = ..., generative_grouped_result: _Optional[str] = ..., group_by_results: _Optional[_Iterable[_Union[GroupByResult, _Mapping]]] = ..., generative_grouped_results: _Optional[_Union[_generative_pb2.GenerativeResult, _Mapping]] = ..., query_profile: _Optional[_Union[QueryProfile, _Mapping]] = ...) -> None: ...
+
+class QueryProfile(_message.Message):
+    __slots__ = ("shards",)
+    class SearchProfile(_message.Message):
+        __slots__ = ("details",)
+        class DetailsEntry(_message.Message):
+            __slots__ = ("key", "value")
+            KEY_FIELD_NUMBER: _ClassVar[int]
+            VALUE_FIELD_NUMBER: _ClassVar[int]
+            key: str
+            value: str
+            def __init__(self, key: _Optional[str] = ..., value: _Optional[str] = ...) -> None: ...
+        DETAILS_FIELD_NUMBER: _ClassVar[int]
+        details: _containers.ScalarMap[str, str]
+        def __init__(self, details: _Optional[_Mapping[str, str]] = ...) -> None: ...
+    class ShardProfile(_message.Message):
+        __slots__ = ("name", "node", "searches")
+        class SearchesEntry(_message.Message):
+            __slots__ = ("key", "value")
+            KEY_FIELD_NUMBER: _ClassVar[int]
+            VALUE_FIELD_NUMBER: _ClassVar[int]
+            key: str
+            value: QueryProfile.SearchProfile
+            def __init__(self, key: _Optional[str] = ..., value: _Optional[_Union[QueryProfile.SearchProfile, _Mapping]] = ...) -> None: ...
+        NAME_FIELD_NUMBER: _ClassVar[int]
+        NODE_FIELD_NUMBER: _ClassVar[int]
+        SEARCHES_FIELD_NUMBER: _ClassVar[int]
+        name: str
+        node: str
+        searches: _containers.MessageMap[str, QueryProfile.SearchProfile]
+        def __init__(self, name: _Optional[str] = ..., node: _Optional[str] = ..., searches: _Optional[_Mapping[str, QueryProfile.SearchProfile]] = ...) -> None: ...
+    SHARDS_FIELD_NUMBER: _ClassVar[int]
+    shards: _containers.RepeatedCompositeFieldContainer[QueryProfile.ShardProfile]
+    def __init__(self, shards: _Optional[_Iterable[_Union[QueryProfile.ShardProfile, _Mapping]]] = ...) -> None: ...
 
 class RerankReply(_message.Message):
     __slots__ = ("score",)
diff --git a/weaviate/proto/v1/v6300/v1/search_get_pb2.py b/weaviate/proto/v1/v6300/v1/search_get_pb2.py
index 88dfb5992..1b38e4fb6 100644
--- a/weaviate/proto/v1/v6300/v1/search_get_pb2.py
+++ b/weaviate/proto/v1/v6300/v1/search_get_pb2.py
@@ -28,7 +28,7 @@
 from weaviate.proto.v1.v6300.v1 import properties_pb2 as v1_dot_properties__pb2
 
 
-DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x13v1/search_get.proto\x12\x0bweaviate.v1\x1a\rv1/base.proto\x1a\x14v1/base_search.proto\x1a\x13v1/generative.proto\x1a\x13v1/properties.proto\"\x9c\x0b\n\rSearchRequest\x12\x12\n\ncollection\x18\x01 \x01(\t\x12\x0e\n\x06tenant\x18\n \x01(\t\x12=\n\x11\x63onsistency_level\x18\x0b \x01(\x0e\x32\x1d.weaviate.v1.ConsistencyLevelH\x00\x88\x01\x01\x12\x37\n\nproperties\x18\x14 \x01(\x0b\x32\x1e.weaviate.v1.PropertiesRequestH\x01\x88\x01\x01\x12\x33\n\x08metadata\x18\x15 \x01(\x0b\x32\x1c.weaviate.v1.MetadataRequestH\x02\x88\x01\x01\x12+\n\x08group_by\x18\x16 \x01(\x0b\x32\x14.weaviate.v1.GroupByH\x03\x88\x01\x01\x12\r\n\x05limit\x18\x1e \x01(\r\x12\x0e\n\x06offset\x18\x1f \x01(\r\x12\x0f\n\x07\x61utocut\x18  \x01(\r\x12\r\n\x05\x61\x66ter\x18! \x01(\t\x12$\n\x07sort_by\x18\" \x03(\x0b\x32\x13.weaviate.v1.SortBy\x12*\n\x07\x66ilters\x18( \x01(\x0b\x32\x14.weaviate.v1.FiltersH\x04\x88\x01\x01\x12/\n\rhybrid_search\x18) \x01(\x0b\x32\x13.weaviate.v1.HybridH\x05\x88\x01\x01\x12+\n\x0b\x62m25_search\x18* \x01(\x0b\x32\x11.weaviate.v1.BM25H\x06\x88\x01\x01\x12\x31\n\x0bnear_vector\x18+ \x01(\x0b\x32\x17.weaviate.v1.NearVectorH\x07\x88\x01\x01\x12\x31\n\x0bnear_object\x18, \x01(\x0b\x32\x17.weaviate.v1.NearObjectH\x08\x88\x01\x01\x12\x33\n\tnear_text\x18- \x01(\x0b\x32\x1b.weaviate.v1.NearTextSearchH\t\x88\x01\x01\x12\x35\n\nnear_image\x18. \x01(\x0b\x32\x1c.weaviate.v1.NearImageSearchH\n\x88\x01\x01\x12\x35\n\nnear_audio\x18/ \x01(\x0b\x32\x1c.weaviate.v1.NearAudioSearchH\x0b\x88\x01\x01\x12\x35\n\nnear_video\x18\x30 \x01(\x0b\x32\x1c.weaviate.v1.NearVideoSearchH\x0c\x88\x01\x01\x12\x35\n\nnear_depth\x18\x31 \x01(\x0b\x32\x1c.weaviate.v1.NearDepthSearchH\r\x88\x01\x01\x12\x39\n\x0cnear_thermal\x18\x32 \x01(\x0b\x32\x1e.weaviate.v1.NearThermalSearchH\x0e\x88\x01\x01\x12\x31\n\x08near_imu\x18\x33 \x01(\x0b\x32\x1a.weaviate.v1.NearIMUSearchH\x0f\x88\x01\x01\x12\x36\n\ngenerative\x18< 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\x01(\t\x12\x14\n\x0cmin_distance\x18\x02 \x01(\x02\x12\x14\n\x0cmax_distance\x18\x03 \x01(\x02\x12\x19\n\x11number_of_objects\x18\x04 \x01(\x03\x12*\n\x07objects\x18\x05 \x03(\x0b\x32\x19.weaviate.v1.SearchResult\x12-\n\x06rerank\x18\x06 \x01(\x0b\x32\x18.weaviate.v1.RerankReplyH\x00\x88\x01\x01\x12\x39\n\ngenerative\x18\x07 \x01(\x0b\x32\x1c.weaviate.v1.GenerativeReplyB\x02\x18\x01H\x01\x88\x01\x01\x12=\n\x11generative_result\x18\x08 \x01(\x0b\x32\x1d.weaviate.v1.GenerativeResultH\x02\x88\x01\x01\x42\t\n\x07_rerankB\r\n\x0b_generativeB\x14\n\x12_generative_result\"\xb7\x01\n\x0cSearchResult\x12\x31\n\nproperties\x18\x01 \x01(\x0b\x32\x1d.weaviate.v1.PropertiesResult\x12-\n\x08metadata\x18\x02 \x01(\x0b\x32\x1b.weaviate.v1.MetadataResult\x12\x36\n\ngenerative\x18\x03 \x01(\x0b\x32\x1d.weaviate.v1.GenerativeResultH\x00\x88\x01\x01\x42\r\n\x0b_generative\"\xf7\x04\n\x0eMetadataResult\x12\n\n\x02id\x18\x01 \x01(\t\x12\x12\n\x06vector\x18\x02 \x03(\x02\x42\x02\x18\x01\x12\x1a\n\x12\x63reation_time_unix\x18\x03 \x01(\x03\x12\"\n\x1a\x63reation_time_unix_present\x18\x04 \x01(\x08\x12\x1d\n\x15last_update_time_unix\x18\x05 \x01(\x03\x12%\n\x1dlast_update_time_unix_present\x18\x06 \x01(\x08\x12\x10\n\x08\x64istance\x18\x07 \x01(\x02\x12\x18\n\x10\x64istance_present\x18\x08 \x01(\x08\x12\x11\n\tcertainty\x18\t \x01(\x02\x12\x19\n\x11\x63\x65rtainty_present\x18\n \x01(\x08\x12\r\n\x05score\x18\x0b \x01(\x02\x12\x15\n\rscore_present\x18\x0c \x01(\x08\x12\x15\n\rexplain_score\x18\r \x01(\t\x12\x1d\n\x15\x65xplain_score_present\x18\x0e \x01(\x08\x12\x1a\n\ris_consistent\x18\x0f \x01(\x08H\x00\x88\x01\x01\x12\x16\n\ngenerative\x18\x10 \x01(\tB\x02\x18\x01\x12\x1e\n\x12generative_present\x18\x11 \x01(\x08\x42\x02\x18\x01\x12\x1d\n\x15is_consistent_present\x18\x12 \x01(\x08\x12\x14\n\x0cvector_bytes\x18\x13 \x01(\x0c\x12\x13\n\x0bid_as_bytes\x18\x14 \x01(\x0c\x12\x14\n\x0crerank_score\x18\x15 \x01(\x01\x12\x1c\n\x14rerank_score_present\x18\x16 \x01(\x08\x12%\n\x07vectors\x18\x17 \x03(\x0b\x32\x14.weaviate.v1.VectorsB\x10\n\x0e_is_consistent\"\x88\x02\n\x10PropertiesResult\x12\x33\n\tref_props\x18\x02 \x03(\x0b\x32 .weaviate.v1.RefPropertiesResult\x12\x19\n\x11target_collection\x18\x03 \x01(\t\x12-\n\x08metadata\x18\x04 \x01(\x0b\x32\x1b.weaviate.v1.MetadataResult\x12.\n\rnon_ref_props\x18\x0b \x01(\x0b\x32\x17.weaviate.v1.Properties\x12\x1b\n\x13ref_props_requested\x18\x0c \x01(\x08J\x04\x08\x01\x10\x02J\x04\x08\x05\x10\x06J\x04\x08\x06\x10\x07J\x04\x08\x07\x10\x08J\x04\x08\x08\x10\tJ\x04\x08\t\x10\nJ\x04\x08\n\x10\x0b\"[\n\x13RefPropertiesResult\x12\x31\n\nproperties\x18\x01 \x03(\x0b\x32\x1d.weaviate.v1.PropertiesResult\x12\x11\n\tprop_name\x18\x02 \x01(\tBs\n#io.weaviate.client.grpc.protocol.v1B\x16WeaviateProtoSearchGetZ4github.com/weaviate/weaviate/grpc/generated;protocolb\x06proto3')
 
 _globals = globals()
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
@@ -42,6 +42,10 @@
   _globals['_SEARCHREQUEST'].fields_by_name['uses_125_api']._serialized_options = b'\030\001'
   _globals['_SEARCHREPLY'].fields_by_name['generative_grouped_result']._loaded_options = None
   _globals['_SEARCHREPLY'].fields_by_name['generative_grouped_result']._serialized_options = b'\030\001'
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._loaded_options = None
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_options = b'8\001'
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._loaded_options = None
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_options = b'8\001'
   _globals['_GROUPBYRESULT'].fields_by_name['generative']._loaded_options = None
   _globals['_GROUPBYRESULT'].fields_by_name['generative']._serialized_options = b'\030\001'
   _globals['_METADATARESULT'].fields_by_name['vector']._loaded_options = None
@@ -57,27 +61,37 @@
   _globals['_SORTBY']._serialized_start=1632
   _globals['_SORTBY']._serialized_end=1673
   _globals['_METADATAREQUEST']._serialized_start=1676
-  _globals['_METADATAREQUEST']._serialized_end=1897
-  _globals['_PROPERTIESREQUEST']._serialized_start=1900
-  _globals['_PROPERTIESREQUEST']._serialized_end=2109
-  _globals['_OBJECTPROPERTIESREQUEST']._serialized_start=2112
-  _globals['_OBJECTPROPERTIESREQUEST']._serialized_end=2251
-  _globals['_REFPROPERTIESREQUEST']._serialized_start=2254
-  _globals['_REFPROPERTIESREQUEST']._serialized_end=2431
-  _globals['_RERANK']._serialized_start=2433
-  _globals['_RERANK']._serialized_end=2489
-  _globals['_SEARCHREPLY']._serialized_start=2492
-  _globals['_SEARCHREPLY']._serialized_end=2794
-  _globals['_RERANKREPLY']._serialized_start=2796
-  _globals['_RERANKREPLY']._serialized_end=2824
-  _globals['_GROUPBYRESULT']._serialized_start=2827
-  _globals['_GROUPBYRESULT']._serialized_end=3188
-  _globals['_SEARCHRESULT']._serialized_start=3191
-  _globals['_SEARCHRESULT']._serialized_end=3374
-  _globals['_METADATARESULT']._serialized_start=3377
-  _globals['_METADATARESULT']._serialized_end=4008
-  _globals['_PROPERTIESRESULT']._serialized_start=4011
-  _globals['_PROPERTIESRESULT']._serialized_end=4275
-  _globals['_REFPROPERTIESRESULT']._serialized_start=4277
-  _globals['_REFPROPERTIESRESULT']._serialized_end=4368
+  _globals['_METADATAREQUEST']._serialized_end=1920
+  _globals['_PROPERTIESREQUEST']._serialized_start=1923
+  _globals['_PROPERTIESREQUEST']._serialized_end=2132
+  _globals['_OBJECTPROPERTIESREQUEST']._serialized_start=2135
+  _globals['_OBJECTPROPERTIESREQUEST']._serialized_end=2274
+  _globals['_REFPROPERTIESREQUEST']._serialized_start=2277
+  _globals['_REFPROPERTIESREQUEST']._serialized_end=2454
+  _globals['_RERANK']._serialized_start=2456
+  _globals['_RERANK']._serialized_end=2512
+  _globals['_SEARCHREPLY']._serialized_start=2515
+  _globals['_SEARCHREPLY']._serialized_end=2890
+  _globals['_QUERYPROFILE']._serialized_start=2893
+  _globals['_QUERYPROFILE']._serialized_end=3307
+  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_start=2966
+  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_end=3100
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_start=3054
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_end=3100
+  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_start=3103
+  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_end=3307
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_start=3219
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_end=3307
+  _globals['_RERANKREPLY']._serialized_start=3309
+  _globals['_RERANKREPLY']._serialized_end=3337
+  _globals['_GROUPBYRESULT']._serialized_start=3340
+  _globals['_GROUPBYRESULT']._serialized_end=3701
+  _globals['_SEARCHRESULT']._serialized_start=3704
+  _globals['_SEARCHRESULT']._serialized_end=3887
+  _globals['_METADATARESULT']._serialized_start=3890
+  _globals['_METADATARESULT']._serialized_end=4521
+  _globals['_PROPERTIESRESULT']._serialized_start=4524
+  _globals['_PROPERTIESRESULT']._serialized_end=4788
+  _globals['_REFPROPERTIESRESULT']._serialized_start=4790
+  _globals['_REFPROPERTIESRESULT']._serialized_end=4881
 # @@protoc_insertion_point(module_scope)
diff --git a/weaviate/proto/v1/v6300/v1/search_get_pb2.pyi b/weaviate/proto/v1/v6300/v1/search_get_pb2.pyi
index 8dd3cb881..f631fb396 100644
--- a/weaviate/proto/v1/v6300/v1/search_get_pb2.pyi
+++ b/weaviate/proto/v1/v6300/v1/search_get_pb2.pyi
@@ -89,7 +89,7 @@ class SortBy(_message.Message):
     def __init__(self, ascending: bool = ..., path: _Optional[_Iterable[str]] = ...) -> None: ...
 
 class MetadataRequest(_message.Message):
-    __slots__ = ("uuid", "vector", "creation_time_unix", "last_update_time_unix", "distance", "certainty", "score", "explain_score", "is_consistent", "vectors")
+    __slots__ = ("uuid", "vector", "creation_time_unix", "last_update_time_unix", "distance", "certainty", "score", "explain_score", "is_consistent", "vectors", "query_profile")
     UUID_FIELD_NUMBER: _ClassVar[int]
     VECTOR_FIELD_NUMBER: _ClassVar[int]
     CREATION_TIME_UNIX_FIELD_NUMBER: _ClassVar[int]
@@ -100,6 +100,7 @@ class MetadataRequest(_message.Message):
     EXPLAIN_SCORE_FIELD_NUMBER: _ClassVar[int]
     IS_CONSISTENT_FIELD_NUMBER: _ClassVar[int]
     VECTORS_FIELD_NUMBER: _ClassVar[int]
+    QUERY_PROFILE_FIELD_NUMBER: _ClassVar[int]
     uuid: bool
     vector: bool
     creation_time_unix: bool
@@ -110,7 +111,8 @@ class MetadataRequest(_message.Message):
     explain_score: bool
     is_consistent: bool
     vectors: _containers.RepeatedScalarFieldContainer[str]
-    def __init__(self, uuid: bool = ..., vector: bool = ..., creation_time_unix: bool = ..., last_update_time_unix: bool = ..., distance: bool = ..., certainty: bool = ..., score: bool = ..., explain_score: bool = ..., is_consistent: bool = ..., vectors: _Optional[_Iterable[str]] = ...) -> None: ...
+    query_profile: bool
+    def __init__(self, uuid: bool = ..., vector: bool = ..., creation_time_unix: bool = ..., last_update_time_unix: bool = ..., distance: bool = ..., certainty: bool = ..., score: bool = ..., explain_score: bool = ..., is_consistent: bool = ..., vectors: _Optional[_Iterable[str]] = ..., query_profile: bool = ...) -> None: ...
 
 class PropertiesRequest(_message.Message):
     __slots__ = ("non_ref_properties", "ref_properties", "object_properties", "return_all_nonref_properties")
@@ -155,18 +157,54 @@ class Rerank(_message.Message):
     def __init__(self, property: _Optional[str] = ..., query: _Optional[str] = ...) -> None: ...
 
 class SearchReply(_message.Message):
-    __slots__ = ("took", "results", "generative_grouped_result", "group_by_results", "generative_grouped_results")
+    __slots__ = ("took", "results", "generative_grouped_result", "group_by_results", "generative_grouped_results", "query_profile")
     TOOK_FIELD_NUMBER: _ClassVar[int]
     RESULTS_FIELD_NUMBER: _ClassVar[int]
     GENERATIVE_GROUPED_RESULT_FIELD_NUMBER: _ClassVar[int]
     GROUP_BY_RESULTS_FIELD_NUMBER: _ClassVar[int]
     GENERATIVE_GROUPED_RESULTS_FIELD_NUMBER: _ClassVar[int]
+    QUERY_PROFILE_FIELD_NUMBER: _ClassVar[int]
     took: float
     results: _containers.RepeatedCompositeFieldContainer[SearchResult]
     generative_grouped_result: str
     group_by_results: _containers.RepeatedCompositeFieldContainer[GroupByResult]
     generative_grouped_results: _generative_pb2.GenerativeResult
-    def __init__(self, took: _Optional[float] = ..., results: _Optional[_Iterable[_Union[SearchResult, _Mapping]]] = ..., generative_grouped_result: _Optional[str] = ..., group_by_results: _Optional[_Iterable[_Union[GroupByResult, _Mapping]]] = ..., generative_grouped_results: _Optional[_Union[_generative_pb2.GenerativeResult, _Mapping]] = ...) -> None: ...
+    query_profile: QueryProfile
+    def __init__(self, took: _Optional[float] = ..., results: _Optional[_Iterable[_Union[SearchResult, _Mapping]]] = ..., generative_grouped_result: _Optional[str] = ..., group_by_results: _Optional[_Iterable[_Union[GroupByResult, _Mapping]]] = ..., generative_grouped_results: _Optional[_Union[_generative_pb2.GenerativeResult, _Mapping]] = ..., query_profile: _Optional[_Union[QueryProfile, _Mapping]] = ...) -> None: ...
+
+class QueryProfile(_message.Message):
+    __slots__ = ("shards",)
+    class SearchProfile(_message.Message):
+        __slots__ = ("details",)
+        class DetailsEntry(_message.Message):
+            __slots__ = ("key", "value")
+            KEY_FIELD_NUMBER: _ClassVar[int]
+            VALUE_FIELD_NUMBER: _ClassVar[int]
+            key: str
+            value: str
+            def __init__(self, key: _Optional[str] = ..., value: _Optional[str] = ...) -> None: ...
+        DETAILS_FIELD_NUMBER: _ClassVar[int]
+        details: _containers.ScalarMap[str, str]
+        def __init__(self, details: _Optional[_Mapping[str, str]] = ...) -> None: ...
+    class ShardProfile(_message.Message):
+        __slots__ = ("name", "node", "searches")
+        class SearchesEntry(_message.Message):
+            __slots__ = ("key", "value")
+            KEY_FIELD_NUMBER: _ClassVar[int]
+            VALUE_FIELD_NUMBER: _ClassVar[int]
+            key: str
+            value: QueryProfile.SearchProfile
+            def __init__(self, key: _Optional[str] = ..., value: _Optional[_Union[QueryProfile.SearchProfile, _Mapping]] = ...) -> None: ...
+        NAME_FIELD_NUMBER: _ClassVar[int]
+        NODE_FIELD_NUMBER: _ClassVar[int]
+        SEARCHES_FIELD_NUMBER: _ClassVar[int]
+        name: str
+        node: str
+        searches: _containers.MessageMap[str, QueryProfile.SearchProfile]
+        def __init__(self, name: _Optional[str] = ..., node: _Optional[str] = ..., searches: _Optional[_Mapping[str, QueryProfile.SearchProfile]] = ...) -> None: ...
+    SHARDS_FIELD_NUMBER: _ClassVar[int]
+    shards: _containers.RepeatedCompositeFieldContainer[QueryProfile.ShardProfile]
+    def __init__(self, shards: _Optional[_Iterable[_Union[QueryProfile.ShardProfile, _Mapping]]] = ...) -> None: ...
 
 class RerankReply(_message.Message):
     __slots__ = ("score",)