diff --git a/integration/test_collection_decisions.py b/integration/test_collection_decisions.py
index 68e497b62..5bc072953 100644
--- a/integration/test_collection_decisions.py
+++ b/integration/test_collection_decisions.py
@@ -96,6 +96,135 @@ def test_decide_with_every_kind_of_question(collection_factory: CollectionFactor
     assert list(objs[0].decisions) == ["angry"]
 
 
+ANGRY = "the customer is angry about billing"
+CALM = "all good, thanks"
+
+
+def _texts(objs) -> list:  # type: ignore[no-untyped-def]
+    return [o.properties["text"] for o in objs]
+
+
+# A keyword search that returns both texts: rerank goes with a search, not
+# with fetch_objects.
+SEARCH = "customer good"
+
+
+def test_rerank_by_a_decision(collection_factory: CollectionFactory) -> None:
+    collection = _collection(collection_factory)
+    collection.data.insert_many([{"text": ANGRY}, {"text": CALM}])
+
+    # The class settings are the defaults: search order, nothing dropped.
+    objs = collection.query.bm25(
+        SEARCH, rerank=wvc.query.Rerank.decide(prop="text", query="customer angry")
+    ).objects
+    assert {o.properties["text"]: o.metadata.rerank_score for o in objs} == {ANGRY: 1.0, CALM: 0.0}
+
+    # A threshold drops the candidates below it.
+    objs = collection.query.bm25(
+        SEARCH,
+        rerank=wvc.query.Rerank.decide(prop="text", query="customer angry", min_probability=0.6),
+    ).objects
+    assert _texts(objs) == [ANGRY]
+    assert objs[0].metadata.rerank_score == 1.0
+
+    # "all good, thanks" matches two of three words, the angry text one.
+    objs = collection.query.bm25(
+        SEARCH,
+        rerank=wvc.query.Rerank.decide(
+            prop="text",
+            query="good thanks customer",
+            min_probability=0.3,
+            order=wvc.query.DecisionsOrder.PROBABILITY,
+        ),
+    ).objects
+    assert _texts(objs) == [CALM, ANGRY]
+
+    # A plain rerank on a class with only a decisions module is a relevance predicate.
+    objs = collection.query.bm25(
+        SEARCH, rerank=wvc.query.Rerank(prop="text", query="customer angry")
+    ).objects
+    assert {o.properties["text"]: o.metadata.rerank_score for o in objs} == {ANGRY: 1.0, CALM: 0.0}
+
+
+def test_rerank_by_a_decision_takes_the_class_settings(
+    collection_factory: CollectionFactory,
+) -> None:
+    collection = collection_factory(
+        decisions_config=wvc.config.Configure.Decisions.custom(
+            "decisions-dummy", {"minProbability": 0.9, "order": "probability"}
+        ),
+        vectorizer_config=wvc.config.Configure.Vectorizer.none(),
+        properties=[wvc.config.Property(name="text", data_type=wvc.config.DataType.TEXT)],
+    )
+    if "decisions-dummy" not in collection._connection.get_meta()["modules"]:
+        pytest.skip("the server has no decisions-dummy module")
+    collection.data.insert_many([{"text": ANGRY}, {"text": CALM}])
+
+    objs = collection.query.bm25(
+        SEARCH, rerank=wvc.query.Rerank.decide(prop="text", query="good thanks customer")
+    ).objects
+    assert objs == [], "no text has every word"
+
+    # The request overrides the threshold; the class order still applies.
+    objs = collection.query.bm25(
+        SEARCH,
+        rerank=wvc.query.Rerank.decide(
+            prop="text", query="good thanks customer", min_probability=0.3
+        ),
+    ).objects
+    assert _texts(objs) == [CALM, ANGRY]
+
+
+def test_rerank_by_a_decision_without_a_decisions_module(
+    collection_factory: CollectionFactory,
+) -> None:
+    collection = collection_factory(
+        reranker_config=wvc.config.Configure.Reranker.custom("reranker-dummy"),
+        vectorizer_config=wvc.config.Configure.Vectorizer.none(),
+        properties=[wvc.config.Property(name="text", data_type=wvc.config.DataType.TEXT)],
+    )
+    if "decisions-dummy" not in collection._connection.get_meta()["modules"]:
+        pytest.skip("the server has no decisions-dummy module")
+    collection.data.insert({"text": "x"})
+
+    # The server rejects it before the search.
+    with pytest.raises(WeaviateQueryError, match="no decisions module"):
+        collection.query.bm25("x", rerank=wvc.query.Rerank.decide(prop="text", query="x"))
+
+
+def test_a_reranker_and_a_decisions_module_on_one_collection(
+    collection_factory: CollectionFactory,
+) -> None:
+    collection = collection_factory(
+        reranker_config=wvc.config.Configure.Reranker.custom("reranker-dummy"),
+        decisions_config=wvc.config.Configure.Decisions.custom("decisions-dummy"),
+        vectorizer_config=wvc.config.Configure.Vectorizer.none(),
+        properties=[wvc.config.Property(name="text", data_type=wvc.config.DataType.TEXT)],
+    )
+    if "decisions-dummy" not in collection._connection.get_meta()["modules"]:
+        pytest.skip("the server has no decisions-dummy module")
+    collection.data.insert_many([{"text": ANGRY}, {"text": CALM}])
+
+    # A plain rerank goes to the reranker, which scores by length; decide goes to the
+    # decisions module.
+    objs = collection.query.bm25(
+        "billing good",
+        rerank=wvc.query.Rerank(prop="text", query="customer angry"),
+        decide=wvc.query.Decision.predicate("angry", prop="text", instructions="customer angry"),
+    ).objects
+    assert _texts(objs) == [ANGRY, CALM]
+    assert [o.metadata.rerank_score for o in objs] == [float(len(ANGRY)), float(len(CALM))]
+    assert [o.decisions["angry"].probability for o in objs if o.decisions] == [1.0, 0.0]
+
+    # A decision goes to the decisions module: the probability is the score.
+    objs = collection.query.bm25(
+        "billing good",
+        rerank=wvc.query.Rerank.decide(prop="text", query="customer angry", min_probability=0.6),
+    ).objects
+    assert _texts(objs) == [ANGRY]
+    assert objs[0].metadata.rerank_score == 1.0
+
+
 def test_decide_is_rejected_with_group_by(collection_factory: CollectionFactory) -> None:
     collection = _collection(collection_factory)
     collection.data.insert({"text": "x"})
diff --git a/integration/test_collection_decisions_openai.py b/integration/test_collection_decisions_openai.py
index cc67ae655..609af8a65 100644
--- a/integration/test_collection_decisions_openai.py
+++ b/integration/test_collection_decisions_openai.py
@@ -3,7 +3,7 @@
 import pytest
 
 import weaviate.classes as wvc
-from weaviate.collections.classes.config import Decisions, DecisionsQuestion
+from weaviate.collections.classes.config import Decisions
 
 from .conftest import CollectionFactory
 
@@ -14,9 +14,7 @@ def test_decisions_openai(collection_factory: CollectionFactory) -> None:
         pytest.skip("No OpenAI API key found.")
 
     collection = collection_factory(
-        decisions_config=wvc.config.Configure.Decisions.openai(
-            question=DecisionsQuestion.STATEMENT, max_documents=10
-        ),
+        decisions_config=wvc.config.Configure.Decisions.openai(max_documents=10),
         vectorizer_config=wvc.config.Configure.Vectorizer.none(),
         properties=[wvc.config.Property(name="text", data_type=wvc.config.DataType.TEXT)],
         headers={"X-OpenAI-Api-Key": api_key},
@@ -27,7 +25,6 @@ def test_decisions_openai(collection_factory: CollectionFactory) -> None:
     config = collection.config.get()
     assert config.decisions_config is not None
     assert config.decisions_config.decisions == Decisions.OPENAI
-    assert config.decisions_config.model["question"] == "statement"
     assert config.decisions_config.model["maxDocuments"] == 10
 
     collection.data.insert_many(
diff --git a/mock_tests/test_decisions.py b/mock_tests/test_decisions.py
index 81d67a5c5..153400ba8 100644
--- a/mock_tests/test_decisions.py
+++ b/mock_tests/test_decisions.py
@@ -1,8 +1,9 @@
 import pytest
+from pydantic import ValidationError
 
 import weaviate
 from mock_tests.conftest import MockDecisionsWeaviateService
-from weaviate.classes.query import Decision, GroupBy
+from weaviate.classes.query import Decision, GroupBy, Rerank, DecisionsOrder
 from weaviate.collections.classes.internal import DecisionAnswer
 from weaviate.exceptions import WeaviateInvalidInputError
 from weaviate.proto.v1 import search_get_pb2
@@ -122,3 +123,63 @@ def test_decide_is_rejected_before_the_request(
             decide=QUESTIONS[0],
         )
     assert service.captured_request.collection == "", "nothing was sent"
+
+
+def test_rerank_by_a_decision_is_sent(
+    decisions_collection: tuple[weaviate.collections.Collection, MockDecisionsWeaviateService],
+) -> None:
+    collection, service = decisions_collection
+
+    collection.query.bm25(
+        "billing",
+        rerank=Rerank.decide(
+            prop="text", query="angry", min_probability=0.6, order=DecisionsOrder.PROBABILITY
+        ),
+    )
+    sent = service.captured_request.rerank
+    assert sent.property == "text"
+    assert sent.query == "angry"
+    assert sent.decision.min_probability == 0.6
+    assert sent.decision.order == search_get_pb2.RerankOrder.RERANK_ORDER_PROBABILITY
+
+    # Unset options are left unset, so the class settings apply.
+    collection.query.bm25("billing", rerank=Rerank.decide(prop="text", query="angry"))
+    sent = service.captured_request.rerank
+    assert sent.HasField("decision")
+    assert not sent.decision.HasField("min_probability")
+    assert not sent.decision.HasField("order")
+
+    collection.query.bm25("billing", rerank=Rerank(prop="text", query="angry"))
+    assert not service.captured_request.rerank.HasField("decision")
+
+
+@pytest.mark.parametrize("min_probability", [-0.1, 1.1])
+def test_rerank_by_a_decision_needs_a_probability(min_probability: float) -> None:
+    with pytest.raises(ValidationError):
+        Rerank.decide(prop="text", query="angry", min_probability=min_probability)
+
+
+@pytest.mark.parametrize("query", [None, "", "   "])
+def test_rerank_by_a_decision_needs_a_query(query) -> None:
+    with pytest.raises(WeaviateInvalidInputError, match="Rerank.decide needs the query"):
+        Rerank.decide(prop="text", query=query)
+
+
+@pytest.mark.parametrize("order", ["PROBABILITY", "random", 2])
+def test_rerank_by_a_decision_names_a_bad_order(order) -> None:
+    with pytest.raises(WeaviateInvalidInputError, match="order must be one of"):
+        Rerank.decide(prop="text", query="angry", order=order)
+
+
+def test_rerank_by_a_decision_takes_the_order_as_a_string(
+    decisions_collection: tuple[weaviate.collections.Collection, MockDecisionsWeaviateService],
+) -> None:
+    collection, service = decisions_collection
+    order = "probability"
+
+    collection.query.bm25("billing", rerank=Rerank.decide(prop="text", query="angry", order=order))
+
+    assert (
+        service.captured_request.rerank.decision.order
+        == search_get_pb2.RerankOrder.RERANK_ORDER_PROBABILITY
+    )
diff --git a/test/collection/test_config.py b/test/collection/test_config.py
index f4ec9216e..025e9ac87 100644
--- a/test/collection/test_config.py
+++ b/test/collection/test_config.py
@@ -17,7 +17,6 @@
     _CollectionConfigUpdate,
     DecisionsOrder,
     DecisionsProvider,
-    DecisionsQuestion,
     _GenerativeProvider,
     _ReplicationConfig,
     _ReplicationConfigUpdate,
@@ -1444,7 +1443,6 @@ def test_config_with_generative(
             model="gpt-6-luna",
             base_url="https://some.base.url/",
             max_documents=50,
-            question=DecisionsQuestion.STATEMENT,
             min_probability=0.6,
             order=DecisionsOrder.SEARCH,
         ),
@@ -1453,7 +1451,6 @@ def test_config_with_generative(
                 "model": "gpt-6-luna",
                 "baseURL": "https://some.base.url/",
                 "maxDocuments": 50,
-                "question": "statement",
                 "minProbability": 0.6,
                 "order": "search",
             },
@@ -1533,9 +1530,9 @@ def test_config_with_a_reranker_and_a_decisions_module() -> None:
         (
             {"decisions-typesafeai": {"minProbability": 0.5}},
             _CollectionConfigUpdate(
-                decisions_config=Reconfigure.Decisions.openai(question=DecisionsQuestion.STATEMENT)
+                decisions_config=Reconfigure.Decisions.openai(max_documents=20)
             ),
-            {"decisions-openai": {"question": "statement"}},
+            {"decisions-openai": {"maxDocuments": 20}},
         ),
         (
             {"text2vec-contextionary": {}},
diff --git a/weaviate/classes/config.py b/weaviate/classes/config.py
index 6b10b3b0f..52bb75b4a 100644
--- a/weaviate/classes/config.py
+++ b/weaviate/classes/config.py
@@ -6,7 +6,6 @@
     DecisionsConfig,
     DecisionsOrder,
     DecisionsProvider,
-    DecisionsQuestion,
     GenerativeProvider,
     GenerativeSearches,
     IndexName,
@@ -93,7 +92,6 @@
     "DecisionsConfig",
     "DecisionsOrder",
     "DecisionsProvider",
-    "DecisionsQuestion",
     "RerankerProvider",
     "Rerankers",
     "ShardingConfigCreate",
diff --git a/weaviate/classes/query.py b/weaviate/classes/query.py
index 4d6f85d82..4087a7f79 100644
--- a/weaviate/classes/query.py
+++ b/weaviate/classes/query.py
@@ -7,8 +7,9 @@
 from weaviate.collections.classes.grpc import (
     Boost,
     BoostReturn,
-    DecideQuestion,
     Decision,
+    DecisionQuestion,
+    DecisionsOrder,
     Diversity,
     GroupBy,
     HybridFusion,
@@ -45,7 +46,8 @@
     "Boost",
     "BoostReturn",
     "Decision",
-    "DecideQuestion",
+    "DecisionQuestion",
+    "DecisionsOrder",
     "Rerank",
     "Sort",
     "TargetVectors",
diff --git a/weaviate/collections/classes/config.py b/weaviate/collections/classes/config.py
index da1d5502d..f0068d66b 100644
--- a/weaviate/collections/classes/config.py
+++ b/weaviate/collections/classes/config.py
@@ -82,6 +82,7 @@
     _Vectors,
     _VectorsUpdate,
 )
+from weaviate.collections.classes.grpc import DecisionsOrder
 from weaviate.exceptions import WeaviateInsertInvalidPropertyError, WeaviateInvalidInputError
 from weaviate.str_enum import BaseEnum
 from weaviate.util import _capitalize_first_letter, docstring_deprecated
@@ -678,30 +679,6 @@ class Decisions(str, BaseEnum):
     OPENAI = "decisions-openai"
 
 
-class DecisionsOrder(str, BaseEnum):
-    """How a decisions module orders the results of a `rerank`.
-
-    Attributes:
-        SEARCH: Keep the order of the search; the probability only decides which results are dropped.
-        PROBABILITY: Sort by the probability, highest first.
-    """
-
-    SEARCH = "search"
-    PROBABILITY = "probability"
-
-
-class DecisionsQuestion(str, BaseEnum):
-    """What `decisions-openai` asks the model about every object of a `rerank`.
-
-    Attributes:
-        RELEVANCE: Whether the object answers the rerank query.
-        STATEMENT: The rerank query is a statement about the object that the model judges true or false.
-    """
-
-    RELEVANCE = "relevance"
-    STATEMENT = "statement"
-
-
 class DecisionsProvider(_ConfigCreateModel):
     decisions: Union[Decisions, _EnumLikeStr]
 
@@ -730,7 +707,6 @@ class _DecisionsOpenAIConfig(DecisionsProvider):
     model: Optional[str]
     baseURL: Optional[AnyHttpUrl]
     maxDocuments: Optional[int]
-    question: Optional[DecisionsQuestion]
     minProbability: Optional[float]
     order: Optional[DecisionsOrder]
 
@@ -1700,8 +1676,8 @@ def contextualai(
 class _Decisions:
     """Use this factory class to create the correct object for the `decisions_config` argument in the `collections.create()` method.
 
-    A decisions module answers the `decide` questions of a query for every object returned, and serves the `rerank`
-    argument as a reranker does. A collection has at most one decisions module next to at most one reranker.
+    A decisions module answers the `decide` questions of a query for every object returned, and reranks by a
+    condition with `rerank=Rerank.decide(...)`. A collection has at most one decisions module next to at most one reranker.
     """
 
     @staticmethod
@@ -1721,8 +1697,8 @@ def typesafeai(
             model: The TypeSafe AI model, for example `jev-latest`.
             base_url: The base URL to send the requests to.
             max_documents: The most objects one query may have judged, at most 1000.
-            min_probability: With `rerank`, drop the results whose probability is below this value.
-            order: With `rerank`, keep the search order or sort by probability.
+            min_probability: With `rerank`, drop the results whose probability is below this value. A query's `Rerank.decide` overrides it.
+            order: With `rerank`, keep the search order or sort by probability. A query's `Rerank.decide` overrides it.
         """
         return _DecisionsTypeSafeAIConfig(
             model=model,
@@ -1740,7 +1716,6 @@ def openai(
         model: Optional[str] = None,
         base_url: Optional[str] = None,
         max_documents: Optional[int] = None,
-        question: Optional[DecisionsQuestion] = None,
         min_probability: Optional[float] = None,
         order: Optional[DecisionsOrder] = None,
     ) -> DecisionsProvider:
@@ -1752,9 +1727,8 @@ def openai(
             model: The OpenAI decision model, for example `gpt-6-luna`.
             base_url: The base URL to send the requests to.
             max_documents: The most objects one query may have judged, at most 1000. Every object is one request to the API.
-            question: With `rerank`, whether the model judges the relevance of the object to the query or the query as a statement about the object.
-            min_probability: With `rerank`, drop the results whose probability is below this value.
-            order: With `rerank`, keep the search order or sort by probability.
+            min_probability: With `rerank`, drop the results whose probability is below this value. A query's `Rerank.decide` overrides it.
+            order: With `rerank`, keep the search order or sort by probability. A query's `Rerank.decide` overrides it.
         """
         return _DecisionsOpenAIConfig(
             model=model,
@@ -1762,7 +1736,6 @@ def openai(
             if base_url is not None
             else None,
             maxDocuments=max_documents,
-            question=question,
             minProbability=min_probability,
             order=order,
         )
diff --git a/weaviate/collections/classes/grpc.py b/weaviate/collections/classes/grpc.py
index 53ec56a68..37ce0ac32 100644
--- a/weaviate/collections/classes/grpc.py
+++ b/weaviate/collections/classes/grpc.py
@@ -264,14 +264,74 @@ def by_update_time(ascending: bool = True) -> Sorting:
         return _Sorting().by_update_time(ascending=ascending)
 
 
+class DecisionsOrder(str, BaseEnum):
+    """The order of the results a decisions module reranks.
+
+    The class default of `decisions_config` and the override of `Rerank.decide` take the same enum;
+    `Rerank.decide` also accepts the value, `"search"` or `"probability"`.
+
+    Attributes:
+        SEARCH: Keep the order of the search; the probability only decides which results are dropped.
+        PROBABILITY: Sort by the probability, highest first.
+    """
+
+    SEARCH = "search"
+    PROBABILITY = "probability"
+
+
 class Rerank(_WeaviateInput):
-    """Define how the query's rerank operation should be performed."""
+    """Define how the query's rerank operation should be performed.
+
+    `Rerank(prop, query)` goes to the collection's reranker, or to its decisions module as a relevance question
+    when the collection has no reranker; `Rerank.decide(...)` goes to the decisions module.
+    """
 
     prop: str
     query: Optional[str] = Field(default=None)
 
+    @staticmethod
+    def decide(
+        prop: str,
+        query: str,
+        *,
+        min_probability: Optional[float] = None,
+        order: Optional[DecisionsOrder] = None,
+    ) -> "Rerank":
+        """Rerank by a decision model.
+
+        The collection's decisions module answers `query` as a yes/no question about every candidate, the
+        probability is the rerank score, and the candidates below `min_probability` are dropped. The collection
+        needs a decisions module (`decisions_config`); a reranker it may also have keeps serving `Rerank(...)`.
+        An argument left `None` takes the class setting of the module. The page can hold fewer objects than
+        `limit`: the decision model only removes candidates.
+
+        Args:
+            prop: The property the model judges.
+            query: The statement the model judges about every candidate.
+            min_probability: Drop the candidates whose probability is below it, between 0 and 1.
+            order: Keep the search order or sort by probability, a `DecisionsOrder` or its value.
+        """
+        # A plain Rerank may leave the query to the reranker; a decision has
+        # nothing to judge without one, and the server would only fail after
+        # the search.
+        if not query or not query.strip():
+            raise WeaviateInvalidInputError("Rerank.decide needs the query the model judges")
+        if order is not None and not isinstance(order, DecisionsOrder):
+            try:
+                order = DecisionsOrder(order)
+            except ValueError:
+                raise WeaviateInvalidInputError(
+                    f"order must be one of {[o.value for o in DecisionsOrder]}, got {order!r}"
+                ) from None
+        return _RerankDecide(prop=prop, query=query, min_probability=min_probability, order=order)
+
+
+class _RerankDecide(Rerank):
+    min_probability: Optional[float] = Field(default=None, ge=0, le=1)
+    order: Optional[DecisionsOrder] = Field(default=None)
+
 
-class DecideQuestion(_WeaviateInput):
+class DecisionQuestion(_WeaviateInput):
     """A question for the collection's decisions module about every object a query returns.
 
     Build one with `Decision.predicate`, `Decision.choice` or `Decision.score`. The answer comes back under `name`
@@ -283,15 +343,15 @@ class DecideQuestion(_WeaviateInput):
     instructions: str
 
 
-class _DecidePredicate(DecideQuestion):
+class _DecisionPredicate(DecisionQuestion):
     pass
 
 
-class _DecideChoice(DecideQuestion):
+class _DecisionChoice(DecisionQuestion):
     options: Dict[str, Optional[str]]
 
 
-class _DecideScore(DecideQuestion):
+class _DecisionScore(DecisionQuestion):
     levels: List[Tuple[str, Optional[str]]]
 
 
@@ -322,11 +382,12 @@ class Decision:
 
     The collection's decisions module (`decisions_config`) answers every question for every object the query
     returns. Each question is about one text property of the objects and has a name that identifies its answer.
-    `decide` never drops or reorders an object.
+    `decide` never drops or reorders an object; to filter by a condition, pass `Rerank.decide(...)` as the `rerank`
+    argument instead.
     """
 
     @staticmethod
-    def predicate(name: str, *, prop: str, instructions: str) -> DecideQuestion:
+    def predicate(name: str, *, prop: str, instructions: str) -> DecisionQuestion:
         """A yes/no question. The answer is the probability that `instructions` holds for the object.
 
         Args:
@@ -334,7 +395,7 @@ def predicate(name: str, *, prop: str, instructions: str) -> DecideQuestion:
             prop: The text property the question is about.
             instructions: The statement or question to evaluate, for example "the customer is angry".
         """
-        return _DecidePredicate(name=name, prop=prop, instructions=instructions)
+        return _DecisionPredicate(name=name, prop=prop, instructions=instructions)
 
     @staticmethod
     def choice(
@@ -343,7 +404,7 @@ def choice(
         prop: str,
         instructions: str,
         options: Union[Sequence[str], Mapping[str, Optional[str]]],
-    ) -> DecideQuestion:
+    ) -> DecisionQuestion:
         """Pick one of the options. The answer is the chosen option, a probability per option and a confidence.
 
         Args:
@@ -352,7 +413,7 @@ def choice(
             instructions: What to decide, for example "which team should handle this ticket?".
             options: The options, as names or as a mapping of names to descriptions. At least two.
         """
-        return _DecideChoice(
+        return _DecisionChoice(
             name=name,
             prop=prop,
             instructions=instructions,
@@ -366,7 +427,7 @@ def score(
         prop: str,
         instructions: str,
         levels: Union[Sequence[str], Mapping[str, Optional[str]]],
-    ) -> DecideQuestion:
+    ) -> DecisionQuestion:
         """Rate the object on ordered levels, lowest first.
 
         The answer is a position between the level indices (0 for the first level), a probability per level and a confidence.
@@ -377,12 +438,12 @@ def score(
             instructions: What to rate, for example "how urgent is this ticket?".
             levels: The levels from lowest to highest, as labels or as a mapping of labels to descriptions. At least two.
         """
-        return _DecideScore(
+        return _DecisionScore(
             name=name, prop=prop, instructions=instructions, levels=_named(levels, "levels")
         )
 
 
-DECIDE = Union[DecideQuestion, Sequence[DecideQuestion]]
+DECIDE = Union[DecisionQuestion, Sequence[DecisionQuestion]]
 
 
 @dataclass
diff --git a/weaviate/collections/classes/internal.py b/weaviate/collections/classes/internal.py
index d78ac447b..8a5699bc1 100644
--- a/weaviate/collections/classes/internal.py
+++ b/weaviate/collections/classes/internal.py
@@ -132,7 +132,7 @@ class _Object(Generic[P, R, M]):
 
 @dataclass
 class DecisionAnswer:
-    """The answer of the collection's decisions module to one `Decide` question for one object.
+    """The answer of the collection's decisions module to one `decide` question for one object.
 
     Attributes:
         name: The name of the question.
diff --git a/weaviate/collections/grpc/query.py b/weaviate/collections/grpc/query.py
index 6a1f109dc..cc4aee233 100644
--- a/weaviate/collections/grpc/query.py
+++ b/weaviate/collections/grpc/query.py
@@ -25,7 +25,8 @@
     REFERENCE,
     REFERENCES,
     BM25OperatorOptions,
-    DecideQuestion,
+    DecisionQuestion,
+    DecisionsOrder,
     HybridFusion,
     HybridVectorType,
     Move,
@@ -36,11 +37,12 @@
     _Boost,
     _BoostCurve,
     _BoostModifier,
-    _DecideChoice,
-    _DecideScore,
+    _DecisionChoice,
+    _DecisionScore,
     _MetadataQuery,
     _QueryReference,
     _QueryReferenceMultiTarget,
+    _RerankDecide,
     _Sorting,
 )
 from weaviate.collections.classes.internal import (
@@ -476,7 +478,7 @@ def __create_request(
                     _ValidateArgument([_MetadataQuery, None], "metadata", metadata),
                     _ValidateArgument([_Generative, None], "generative", generative),
                     _ValidateArgument([Rerank, None], "rerank", rerank),
-                    _ValidateArgument([DecideQuestion, Sequence, None], "decide", decide),
+                    _ValidateArgument([DecisionQuestion, Sequence, None], "decide", decide),
                     _ValidateArgument([int, None], "autocut", autocut),
                     _ValidateArgument([_GroupBy, None], "group_by", group_by),
                     _ValidateArgument(
@@ -543,11 +545,7 @@ def __create_request(
                 generative.to_grpc(self._weaviate_version) if generative is not None else None
             ),
             group_by=group_by.to_grpc() if group_by is not None else None,
-            rerank=(
-                search_get_pb2.Rerank(property=rerank.prop, query=rerank.query)
-                if rerank is not None
-                else None
-            ),
+            rerank=(self.__rerank_to_grpc(rerank) if rerank is not None else None),
             decide=self.__decide_to_grpc(decide),
             boost=self.__boost_to_grpc(boost),
             near_vector=near_vector,
@@ -592,23 +590,39 @@ def _metadata_to_grpc(self, metadata: _MetadataQuery) -> search_get_pb2.Metadata
         _BoostModifier.SQRT: _Boost_pb2.PROPERTY_VALUE_MODIFIER_SQRT,
     }
 
+    @staticmethod
+    def __rerank_to_grpc(rerank: Rerank) -> search_get_pb2.Rerank:
+        out = search_get_pb2.Rerank(property=rerank.prop, query=rerank.query)
+        if isinstance(rerank, _RerankDecide):
+            # An unset field is left unset, so the class setting applies.
+            decision = search_get_pb2.RerankDecision()
+            if rerank.min_probability is not None:
+                decision.min_probability = rerank.min_probability
+            if rerank.order is not None:
+                decision.order = {
+                    DecisionsOrder.SEARCH: search_get_pb2.RerankOrder.RERANK_ORDER_SEARCH,
+                    DecisionsOrder.PROBABILITY: search_get_pb2.RerankOrder.RERANK_ORDER_PROBABILITY,
+                }[rerank.order]
+            out.decision.CopyFrom(decision)
+        return out
+
     @staticmethod
     def __decide_to_grpc(decide: Optional[DECIDE]) -> Optional[decisions_pb2.Decisions]:
         if decide is None:
             return None
-        questions = [decide] if isinstance(decide, DecideQuestion) else list(decide)
+        questions = [decide] if isinstance(decide, DecisionQuestion) else list(decide)
         if len(questions) == 0:
             raise WeaviateInvalidInputError("decide needs at least one question")
         out = []
         for question in questions:
-            if not isinstance(question, DecideQuestion):
+            if not isinstance(question, DecisionQuestion):
                 raise WeaviateInvalidInputError(
-                    f"decide must hold DecideQuestion objects built with Decision, got {type(question).__name__}"
+                    f"decide must hold DecisionQuestion objects built with Decision, got {type(question).__name__}"
                 )
             message = decisions_pb2.DecisionQuestion(
                 name=question.name, property=question.prop, instructions=question.instructions
             )
-            if isinstance(question, _DecideChoice):
+            if isinstance(question, _DecisionChoice):
                 message.choice.CopyFrom(
                     decisions_pb2.DecisionChoice(
                         options=[
@@ -617,7 +631,7 @@ def __decide_to_grpc(decide: Optional[DECIDE]) -> Optional[decisions_pb2.Decisio
                         ]
                     )
                 )
-            elif isinstance(question, _DecideScore):
+            elif isinstance(question, _DecisionScore):
                 message.score.CopyFrom(
                     decisions_pb2.DecisionScore(
                         levels=[
diff --git a/weaviate/proto/v1/v4216/v1/search_get_pb2.py b/weaviate/proto/v1/v4216/v1/search_get_pb2.py
index dd16fe3d7..135024bcc 100644
--- a/weaviate/proto/v1/v4216/v1/search_get_pb2.py
+++ b/weaviate/proto/v1/v4216/v1/search_get_pb2.py
@@ -18,7 +18,7 @@
 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\x12v1/decisions.proto\x1a\x13v1/properties.proto\"\x86\x0c\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$\n\x07sort_by\x18\" \x03(\x0b\x32\x13.weaviate.v1.SortBy\x12*\n\x07\x66ilters\x18( 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\x01(\x01\x12\x13\n\x06offset\x18\x04 \x01(\x01H\x00\x88\x01\x01\x12\x31\n\x05\x63urve\x18\x05 \x01(\x0e\x32\x1d.weaviate.v1.Boost.DecayCurveH\x01\x88\x01\x01\x12\x18\n\x0b\x64\x65\x63\x61y_value\x18\x06 \x01(\x02H\x02\x88\x01\x01\x42\t\n\x07_offsetB\x08\n\x06_curveB\x0e\n\x0c_decay_value\x1a\xa2\x02\n\tCondition\x12&\n\x06\x66ilter\x18\x01 \x01(\x0b\x32\x14.weaviate.v1.FiltersH\x00\x12:\n\ntime_decay\x18\x02 \x01(\x0b\x32$.weaviate.v1.Boost.TimeDecayFunctionH\x00\x12\x42\n\x0eproperty_value\x18\x03 \x01(\x0b\x32(.weaviate.v1.Boost.PropertyValueFunctionH\x00\x12@\n\rnumeric_decay\x18\x04 \x01(\x0b\x32\'.weaviate.v1.Boost.NumericDecayFunctionH\x00\x12\x13\n\x06weight\x18\x05 \x01(\x02H\x01\x88\x01\x01\x42\x0b\n\tconditionB\t\n\x07_weight\"\x85\x01\n\x15PropertyValueModifier\x12\'\n#PROPERTY_VALUE_MODIFIER_UNSPECIFIED\x10\x00\x12!\n\x1dPROPERTY_VALUE_MODIFIER_LOG1P\x10\x01\x12 \n\x1cPROPERTY_VALUE_MODIFIER_SQRT\x10\x02\"u\n\nDecayCurve\x12\x1b\n\x17\x44\x45\x43\x41Y_CURVE_UNSPECIFIED\x10\x00\x12\x15\n\x11\x44\x45\x43\x41Y_CURVE_GAUSS\x10\x01\x12\x16\n\x12\x44\x45\x43\x41Y_CURVE_LINEAR\x10\x02\x12\x1b\n\x17\x44\x45\x43\x41Y_CURVE_EXPONENTIAL\x10\x03\x42\t\n\x07_weightB\x08\n\x06_depth*b\n\x0bRerankOrder\x12\x1c\n\x18RERANK_ORDER_UNSPECIFIED\x10\x00\x12\x17\n\x13RERANK_ORDER_SEARCH\x10\x01\x12\x1c\n\x18RERANK_ORDER_PROBABILITY\x10\x02\x42s\n#io.weaviate.client.grpc.protocol.v1B\x16WeaviateProtoSearchGetZ4github.com/weaviate/weaviate/grpc/generated;protocolb\x06proto3')
 
 _globals = globals()
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
@@ -44,6 +44,8 @@
   _METADATARESULT.fields_by_name['generative']._serialized_options = b'\030\001'
   _METADATARESULT.fields_by_name['generative_present']._options = None
   _METADATARESULT.fields_by_name['generative_present']._serialized_options = b'\030\001'
+  _globals['_RERANKORDER']._serialized_start=6471
+  _globals['_RERANKORDER']._serialized_end=6569
   _globals['_SEARCHREQUEST']._serialized_start=136
   _globals['_SEARCHREQUEST']._serialized_end=1678
   _globals['_GROUPBY']._serialized_start=1680
@@ -59,43 +61,45 @@
   _globals['_REFPROPERTIESREQUEST']._serialized_start=2403
   _globals['_REFPROPERTIESREQUEST']._serialized_end=2580
   _globals['_RERANK']._serialized_start=2582
-  _globals['_RERANK']._serialized_end=2638
-  _globals['_SEARCHREPLY']._serialized_start=2641
-  _globals['_SEARCHREPLY']._serialized_end=3016
-  _globals['_QUERYPROFILE']._serialized_start=3019
-  _globals['_QUERYPROFILE']._serialized_end=3433
-  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_start=3092
-  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_end=3226
-  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_start=3180
-  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_end=3226
-  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_start=3229
-  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_end=3433
-  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_start=3345
-  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_end=3433
-  _globals['_RERANKREPLY']._serialized_start=3435
-  _globals['_RERANKREPLY']._serialized_end=3463
-  _globals['_GROUPBYRESULT']._serialized_start=3466
-  _globals['_GROUPBYRESULT']._serialized_end=3827
-  _globals['_SEARCHRESULT']._serialized_start=3830
-  _globals['_SEARCHRESULT']._serialized_end=4080
-  _globals['_METADATARESULT']._serialized_start=4083
-  _globals['_METADATARESULT']._serialized_end=4714
-  _globals['_PROPERTIESRESULT']._serialized_start=4717
-  _globals['_PROPERTIESRESULT']._serialized_end=4981
-  _globals['_REFPROPERTIESRESULT']._serialized_start=4983
-  _globals['_REFPROPERTIESRESULT']._serialized_end=5074
-  _globals['_BOOST']._serialized_start=5077
-  _globals['_BOOST']._serialized_end=6280
-  _globals['_BOOST_PROPERTYVALUEFUNCTION']._serialized_start=5177
-  _globals['_BOOST_PROPERTYVALUEFUNCTION']._serialized_end=5296
-  _globals['_BOOST_TIMEDECAYFUNCTION']._serialized_start=5299
-  _globals['_BOOST_TIMEDECAYFUNCTION']._serialized_end=5502
-  _globals['_BOOST_NUMERICDECAYFUNCTION']._serialized_start=5505
-  _globals['_BOOST_NUMERICDECAYFUNCTION']._serialized_end=5711
-  _globals['_BOOST_CONDITION']._serialized_start=5714
-  _globals['_BOOST_CONDITION']._serialized_end=6004
-  _globals['_BOOST_PROPERTYVALUEMODIFIER']._serialized_start=6007
-  _globals['_BOOST_PROPERTYVALUEMODIFIER']._serialized_end=6140
-  _globals['_BOOST_DECAYCURVE']._serialized_start=6142
-  _globals['_BOOST_DECAYCURVE']._serialized_end=6259
+  _globals['_RERANK']._serialized_end=2703
+  _globals['_RERANKDECISION']._serialized_start=2705
+  _globals['_RERANKDECISION']._serialized_end=2827
+  _globals['_SEARCHREPLY']._serialized_start=2830
+  _globals['_SEARCHREPLY']._serialized_end=3205
+  _globals['_QUERYPROFILE']._serialized_start=3208
+  _globals['_QUERYPROFILE']._serialized_end=3622
+  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_start=3281
+  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_end=3415
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_start=3369
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_end=3415
+  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_start=3418
+  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_end=3622
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_start=3534
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_end=3622
+  _globals['_RERANKREPLY']._serialized_start=3624
+  _globals['_RERANKREPLY']._serialized_end=3652
+  _globals['_GROUPBYRESULT']._serialized_start=3655
+  _globals['_GROUPBYRESULT']._serialized_end=4016
+  _globals['_SEARCHRESULT']._serialized_start=4019
+  _globals['_SEARCHRESULT']._serialized_end=4269
+  _globals['_METADATARESULT']._serialized_start=4272
+  _globals['_METADATARESULT']._serialized_end=4903
+  _globals['_PROPERTIESRESULT']._serialized_start=4906
+  _globals['_PROPERTIESRESULT']._serialized_end=5170
+  _globals['_REFPROPERTIESRESULT']._serialized_start=5172
+  _globals['_REFPROPERTIESRESULT']._serialized_end=5263
+  _globals['_BOOST']._serialized_start=5266
+  _globals['_BOOST']._serialized_end=6469
+  _globals['_BOOST_PROPERTYVALUEFUNCTION']._serialized_start=5366
+  _globals['_BOOST_PROPERTYVALUEFUNCTION']._serialized_end=5485
+  _globals['_BOOST_TIMEDECAYFUNCTION']._serialized_start=5488
+  _globals['_BOOST_TIMEDECAYFUNCTION']._serialized_end=5691
+  _globals['_BOOST_NUMERICDECAYFUNCTION']._serialized_start=5694
+  _globals['_BOOST_NUMERICDECAYFUNCTION']._serialized_end=5900
+  _globals['_BOOST_CONDITION']._serialized_start=5903
+  _globals['_BOOST_CONDITION']._serialized_end=6193
+  _globals['_BOOST_PROPERTYVALUEMODIFIER']._serialized_start=6196
+  _globals['_BOOST_PROPERTYVALUEMODIFIER']._serialized_end=6329
+  _globals['_BOOST_DECAYCURVE']._serialized_start=6331
+  _globals['_BOOST_DECAYCURVE']._serialized_end=6448
 # @@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 1e6d0466f..15509dc87 100644
--- a/weaviate/proto/v1/v4216/v1/search_get_pb2.pyi
+++ b/weaviate/proto/v1/v4216/v1/search_get_pb2.pyi
@@ -11,6 +11,15 @@ from typing import ClassVar as _ClassVar, Iterable as _Iterable, Mapping as _Map
 
 DESCRIPTOR: _descriptor.FileDescriptor
 
+class RerankOrder(int, metaclass=_enum_type_wrapper.EnumTypeWrapper):
+    __slots__ = []
+    RERANK_ORDER_UNSPECIFIED: _ClassVar[RerankOrder]
+    RERANK_ORDER_SEARCH: _ClassVar[RerankOrder]
+    RERANK_ORDER_PROBABILITY: _ClassVar[RerankOrder]
+RERANK_ORDER_UNSPECIFIED: RerankOrder
+RERANK_ORDER_SEARCH: RerankOrder
+RERANK_ORDER_PROBABILITY: RerankOrder
+
 class SearchRequest(_message.Message):
     __slots__ = ["collection", "tenant", "consistency_level", "properties", "metadata", "group_by", "limit", "offset", "autocut", "after", "sort_by", "filters", "hybrid_search", "bm25_search", "near_vector", "near_object", "near_text", "near_image", "near_audio", "near_video", "near_depth", "near_thermal", "near_imu", "generative", "rerank", "decide", "boost", "uses_123_api", "uses_125_api", "uses_127_api"]
     COLLECTION_FIELD_NUMBER: _ClassVar[int]
@@ -154,12 +163,22 @@ class RefPropertiesRequest(_message.Message):
     def __init__(self, reference_property: _Optional[str] = ..., properties: _Optional[_Union[PropertiesRequest, _Mapping]] = ..., metadata: _Optional[_Union[MetadataRequest, _Mapping]] = ..., target_collection: _Optional[str] = ...) -> None: ...
 
 class Rerank(_message.Message):
-    __slots__ = ["property", "query"]
+    __slots__ = ["property", "query", "decision"]
     PROPERTY_FIELD_NUMBER: _ClassVar[int]
     QUERY_FIELD_NUMBER: _ClassVar[int]
+    DECISION_FIELD_NUMBER: _ClassVar[int]
     property: str
     query: str
-    def __init__(self, property: _Optional[str] = ..., query: _Optional[str] = ...) -> None: ...
+    decision: RerankDecision
+    def __init__(self, property: _Optional[str] = ..., query: _Optional[str] = ..., decision: _Optional[_Union[RerankDecision, _Mapping]] = ...) -> None: ...
+
+class RerankDecision(_message.Message):
+    __slots__ = ["min_probability", "order"]
+    MIN_PROBABILITY_FIELD_NUMBER: _ClassVar[int]
+    ORDER_FIELD_NUMBER: _ClassVar[int]
+    min_probability: float
+    order: RerankOrder
+    def __init__(self, min_probability: _Optional[float] = ..., order: _Optional[_Union[RerankOrder, str]] = ...) -> None: ...
 
 class SearchReply(_message.Message):
     __slots__ = ["took", "results", "generative_grouped_result", "group_by_results", "generative_grouped_results", "query_profile"]
diff --git a/weaviate/proto/v1/v5261/v1/search_get_pb2.py b/weaviate/proto/v1/v5261/v1/search_get_pb2.py
index 54939a3f0..04dfd4010 100644
--- a/weaviate/proto/v1/v5261/v1/search_get_pb2.py
+++ b/weaviate/proto/v1/v5261/v1/search_get_pb2.py
@@ -19,7 +19,7 @@
 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\x12v1/decisions.proto\x1a\x13v1/properties.proto\"\x86\x0c\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< \x01(\x0b\x32\x1d.weaviate.v1.GenerativeSearchH\x10\x88\x01\x01\x12(\n\x06rerank\x18= \x01(\x0b\x32\x13.weaviate.v1.RerankH\x11\x88\x01\x01\x12+\n\x06\x64\x65\x63ide\x18? \x01(\x0b\x32\x16.weaviate.v1.DecisionsH\x12\x88\x01\x01\x12&\n\x05\x62oost\x18> \x01(\x0b\x32\x12.weaviate.v1.BoostH\x13\x88\x01\x01\x12\x18\n\x0cuses_123_api\x18\x64 \x01(\x08\x42\x02\x18\x01\x12\x18\n\x0cuses_125_api\x18\x65 \x01(\x08\x42\x02\x18\x01\x12\x14\n\x0cuses_127_api\x18\x66 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\x01(\t\"y\n\x06Rerank\x12\x10\n\x08property\x18\x01 \x01(\t\x12\x12\n\x05query\x18\x02 \x01(\tH\x00\x88\x01\x01\x12\x32\n\x08\x64\x65\x63ision\x18\x03 \x01(\x0b\x32\x1b.weaviate.v1.RerankDecisionH\x01\x88\x01\x01\x42\x08\n\x06_queryB\x0b\n\t_decision\"z\n\x0eRerankDecision\x12\x1c\n\x0fmin_probability\x18\x01 \x01(\x01H\x00\x88\x01\x01\x12,\n\x05order\x18\x02 \x01(\x0e\x32\x18.weaviate.v1.RerankOrderH\x01\x88\x01\x01\x42\x12\n\x10_min_probabilityB\x08\n\x06_order\"\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\"\xfa\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\x12\x33\n\tdecisions\x18\x04 \x01(\x0b\x32\x1b.weaviate.v1.DecisionResultH\x01\x88\x01\x01\x42\r\n\x0b_generativeB\x0c\n\n_decisions\"\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(\t\"\xb3\t\n\x05\x42oost\x12\x30\n\nconditions\x18\x01 \x03(\x0b\x32\x1c.weaviate.v1.Boost.Condition\x12\x13\n\x06weight\x18\x02 \x01(\x02H\x00\x88\x01\x01\x12\x12\n\x05\x64\x65pth\x18\x03 \x01(\rH\x01\x88\x01\x01\x1aw\n\x15PropertyValueFunction\x12\x10\n\x08property\x18\x01 \x01(\t\x12?\n\x08modifier\x18\x02 \x01(\x0e\x32(.weaviate.v1.Boost.PropertyValueModifierH\x00\x88\x01\x01\x42\x0b\n\t_modifier\x1a\xcb\x01\n\x11TimeDecayFunction\x12\x10\n\x08property\x18\x01 \x01(\t\x12\x0e\n\x06origin\x18\x02 \x01(\t\x12\r\n\x05scale\x18\x03 \x01(\t\x12\x13\n\x06offset\x18\x04 \x01(\tH\x00\x88\x01\x01\x12\x31\n\x05\x63urve\x18\x05 \x01(\x0e\x32\x1d.weaviate.v1.Boost.DecayCurveH\x01\x88\x01\x01\x12\x18\n\x0b\x64\x65\x63\x61y_value\x18\x06 \x01(\x02H\x02\x88\x01\x01\x42\t\n\x07_offsetB\x08\n\x06_curveB\x0e\n\x0c_decay_value\x1a\xce\x01\n\x14NumericDecayFunction\x12\x10\n\x08property\x18\x01 \x01(\t\x12\x0e\n\x06origin\x18\x02 \x01(\x01\x12\r\n\x05scale\x18\x03 \x01(\x01\x12\x13\n\x06offset\x18\x04 \x01(\x01H\x00\x88\x01\x01\x12\x31\n\x05\x63urve\x18\x05 \x01(\x0e\x32\x1d.weaviate.v1.Boost.DecayCurveH\x01\x88\x01\x01\x12\x18\n\x0b\x64\x65\x63\x61y_value\x18\x06 \x01(\x02H\x02\x88\x01\x01\x42\t\n\x07_offsetB\x08\n\x06_curveB\x0e\n\x0c_decay_value\x1a\xa2\x02\n\tCondition\x12&\n\x06\x66ilter\x18\x01 \x01(\x0b\x32\x14.weaviate.v1.FiltersH\x00\x12:\n\ntime_decay\x18\x02 \x01(\x0b\x32$.weaviate.v1.Boost.TimeDecayFunctionH\x00\x12\x42\n\x0eproperty_value\x18\x03 \x01(\x0b\x32(.weaviate.v1.Boost.PropertyValueFunctionH\x00\x12@\n\rnumeric_decay\x18\x04 \x01(\x0b\x32\'.weaviate.v1.Boost.NumericDecayFunctionH\x00\x12\x13\n\x06weight\x18\x05 \x01(\x02H\x01\x88\x01\x01\x42\x0b\n\tconditionB\t\n\x07_weight\"\x85\x01\n\x15PropertyValueModifier\x12\'\n#PROPERTY_VALUE_MODIFIER_UNSPECIFIED\x10\x00\x12!\n\x1dPROPERTY_VALUE_MODIFIER_LOG1P\x10\x01\x12 \n\x1cPROPERTY_VALUE_MODIFIER_SQRT\x10\x02\"u\n\nDecayCurve\x12\x1b\n\x17\x44\x45\x43\x41Y_CURVE_UNSPECIFIED\x10\x00\x12\x15\n\x11\x44\x45\x43\x41Y_CURVE_GAUSS\x10\x01\x12\x16\n\x12\x44\x45\x43\x41Y_CURVE_LINEAR\x10\x02\x12\x1b\n\x17\x44\x45\x43\x41Y_CURVE_EXPONENTIAL\x10\x03\x42\t\n\x07_weightB\x08\n\x06_depth*b\n\x0bRerankOrder\x12\x1c\n\x18RERANK_ORDER_UNSPECIFIED\x10\x00\x12\x17\n\x13RERANK_ORDER_SEARCH\x10\x01\x12\x1c\n\x18RERANK_ORDER_PROBABILITY\x10\x02\x42s\n#io.weaviate.client.grpc.protocol.v1B\x16WeaviateProtoSearchGetZ4github.com/weaviate/weaviate/grpc/generated;protocolb\x06proto3')
 
 _globals = globals()
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
@@ -45,6 +45,8 @@
   _globals['_METADATARESULT'].fields_by_name['generative']._serialized_options = b'\030\001'
   _globals['_METADATARESULT'].fields_by_name['generative_present']._loaded_options = None
   _globals['_METADATARESULT'].fields_by_name['generative_present']._serialized_options = b'\030\001'
+  _globals['_RERANKORDER']._serialized_start=6471
+  _globals['_RERANKORDER']._serialized_end=6569
   _globals['_SEARCHREQUEST']._serialized_start=136
   _globals['_SEARCHREQUEST']._serialized_end=1678
   _globals['_GROUPBY']._serialized_start=1680
@@ -60,43 +62,45 @@
   _globals['_REFPROPERTIESREQUEST']._serialized_start=2403
   _globals['_REFPROPERTIESREQUEST']._serialized_end=2580
   _globals['_RERANK']._serialized_start=2582
-  _globals['_RERANK']._serialized_end=2638
-  _globals['_SEARCHREPLY']._serialized_start=2641
-  _globals['_SEARCHREPLY']._serialized_end=3016
-  _globals['_QUERYPROFILE']._serialized_start=3019
-  _globals['_QUERYPROFILE']._serialized_end=3433
-  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_start=3092
-  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_end=3226
-  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_start=3180
-  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_end=3226
-  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_start=3229
-  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_end=3433
-  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_start=3345
-  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_end=3433
-  _globals['_RERANKREPLY']._serialized_start=3435
-  _globals['_RERANKREPLY']._serialized_end=3463
-  _globals['_GROUPBYRESULT']._serialized_start=3466
-  _globals['_GROUPBYRESULT']._serialized_end=3827
-  _globals['_SEARCHRESULT']._serialized_start=3830
-  _globals['_SEARCHRESULT']._serialized_end=4080
-  _globals['_METADATARESULT']._serialized_start=4083
-  _globals['_METADATARESULT']._serialized_end=4714
-  _globals['_PROPERTIESRESULT']._serialized_start=4717
-  _globals['_PROPERTIESRESULT']._serialized_end=4981
-  _globals['_REFPROPERTIESRESULT']._serialized_start=4983
-  _globals['_REFPROPERTIESRESULT']._serialized_end=5074
-  _globals['_BOOST']._serialized_start=5077
-  _globals['_BOOST']._serialized_end=6280
-  _globals['_BOOST_PROPERTYVALUEFUNCTION']._serialized_start=5177
-  _globals['_BOOST_PROPERTYVALUEFUNCTION']._serialized_end=5296
-  _globals['_BOOST_TIMEDECAYFUNCTION']._serialized_start=5299
-  _globals['_BOOST_TIMEDECAYFUNCTION']._serialized_end=5502
-  _globals['_BOOST_NUMERICDECAYFUNCTION']._serialized_start=5505
-  _globals['_BOOST_NUMERICDECAYFUNCTION']._serialized_end=5711
-  _globals['_BOOST_CONDITION']._serialized_start=5714
-  _globals['_BOOST_CONDITION']._serialized_end=6004
-  _globals['_BOOST_PROPERTYVALUEMODIFIER']._serialized_start=6007
-  _globals['_BOOST_PROPERTYVALUEMODIFIER']._serialized_end=6140
-  _globals['_BOOST_DECAYCURVE']._serialized_start=6142
-  _globals['_BOOST_DECAYCURVE']._serialized_end=6259
+  _globals['_RERANK']._serialized_end=2703
+  _globals['_RERANKDECISION']._serialized_start=2705
+  _globals['_RERANKDECISION']._serialized_end=2827
+  _globals['_SEARCHREPLY']._serialized_start=2830
+  _globals['_SEARCHREPLY']._serialized_end=3205
+  _globals['_QUERYPROFILE']._serialized_start=3208
+  _globals['_QUERYPROFILE']._serialized_end=3622
+  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_start=3281
+  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_end=3415
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_start=3369
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_end=3415
+  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_start=3418
+  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_end=3622
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_start=3534
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_end=3622
+  _globals['_RERANKREPLY']._serialized_start=3624
+  _globals['_RERANKREPLY']._serialized_end=3652
+  _globals['_GROUPBYRESULT']._serialized_start=3655
+  _globals['_GROUPBYRESULT']._serialized_end=4016
+  _globals['_SEARCHRESULT']._serialized_start=4019
+  _globals['_SEARCHRESULT']._serialized_end=4269
+  _globals['_METADATARESULT']._serialized_start=4272
+  _globals['_METADATARESULT']._serialized_end=4903
+  _globals['_PROPERTIESRESULT']._serialized_start=4906
+  _globals['_PROPERTIESRESULT']._serialized_end=5170
+  _globals['_REFPROPERTIESRESULT']._serialized_start=5172
+  _globals['_REFPROPERTIESRESULT']._serialized_end=5263
+  _globals['_BOOST']._serialized_start=5266
+  _globals['_BOOST']._serialized_end=6469
+  _globals['_BOOST_PROPERTYVALUEFUNCTION']._serialized_start=5366
+  _globals['_BOOST_PROPERTYVALUEFUNCTION']._serialized_end=5485
+  _globals['_BOOST_TIMEDECAYFUNCTION']._serialized_start=5488
+  _globals['_BOOST_TIMEDECAYFUNCTION']._serialized_end=5691
+  _globals['_BOOST_NUMERICDECAYFUNCTION']._serialized_start=5694
+  _globals['_BOOST_NUMERICDECAYFUNCTION']._serialized_end=5900
+  _globals['_BOOST_CONDITION']._serialized_start=5903
+  _globals['_BOOST_CONDITION']._serialized_end=6193
+  _globals['_BOOST_PROPERTYVALUEMODIFIER']._serialized_start=6196
+  _globals['_BOOST_PROPERTYVALUEMODIFIER']._serialized_end=6329
+  _globals['_BOOST_DECAYCURVE']._serialized_start=6331
+  _globals['_BOOST_DECAYCURVE']._serialized_end=6448
 # @@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 dec00b270..dfcc04ddd 100644
--- a/weaviate/proto/v1/v5261/v1/search_get_pb2.pyi
+++ b/weaviate/proto/v1/v5261/v1/search_get_pb2.pyi
@@ -11,6 +11,15 @@ from typing import ClassVar as _ClassVar, Iterable as _Iterable, Mapping as _Map
 
 DESCRIPTOR: _descriptor.FileDescriptor
 
+class RerankOrder(int, metaclass=_enum_type_wrapper.EnumTypeWrapper):
+    __slots__ = ()
+    RERANK_ORDER_UNSPECIFIED: _ClassVar[RerankOrder]
+    RERANK_ORDER_SEARCH: _ClassVar[RerankOrder]
+    RERANK_ORDER_PROBABILITY: _ClassVar[RerankOrder]
+RERANK_ORDER_UNSPECIFIED: RerankOrder
+RERANK_ORDER_SEARCH: RerankOrder
+RERANK_ORDER_PROBABILITY: RerankOrder
+
 class SearchRequest(_message.Message):
     __slots__ = ("collection", "tenant", "consistency_level", "properties", "metadata", "group_by", "limit", "offset", "autocut", "after", "sort_by", "filters", "hybrid_search", "bm25_search", "near_vector", "near_object", "near_text", "near_image", "near_audio", "near_video", "near_depth", "near_thermal", "near_imu", "generative", "rerank", "decide", "boost", "uses_123_api", "uses_125_api", "uses_127_api")
     COLLECTION_FIELD_NUMBER: _ClassVar[int]
@@ -154,12 +163,22 @@ class RefPropertiesRequest(_message.Message):
     def __init__(self, reference_property: _Optional[str] = ..., properties: _Optional[_Union[PropertiesRequest, _Mapping]] = ..., metadata: _Optional[_Union[MetadataRequest, _Mapping]] = ..., target_collection: _Optional[str] = ...) -> None: ...
 
 class Rerank(_message.Message):
-    __slots__ = ("property", "query")
+    __slots__ = ("property", "query", "decision")
     PROPERTY_FIELD_NUMBER: _ClassVar[int]
     QUERY_FIELD_NUMBER: _ClassVar[int]
+    DECISION_FIELD_NUMBER: _ClassVar[int]
     property: str
     query: str
-    def __init__(self, property: _Optional[str] = ..., query: _Optional[str] = ...) -> None: ...
+    decision: RerankDecision
+    def __init__(self, property: _Optional[str] = ..., query: _Optional[str] = ..., decision: _Optional[_Union[RerankDecision, _Mapping]] = ...) -> None: ...
+
+class RerankDecision(_message.Message):
+    __slots__ = ("min_probability", "order")
+    MIN_PROBABILITY_FIELD_NUMBER: _ClassVar[int]
+    ORDER_FIELD_NUMBER: _ClassVar[int]
+    min_probability: float
+    order: RerankOrder
+    def __init__(self, min_probability: _Optional[float] = ..., order: _Optional[_Union[RerankOrder, str]] = ...) -> None: ...
 
 class SearchReply(_message.Message):
     __slots__ = ("took", "results", "generative_grouped_result", "group_by_results", "generative_grouped_results", "query_profile")
diff --git a/weaviate/proto/v1/v6300/v1/search_get_pb2.py b/weaviate/proto/v1/v6300/v1/search_get_pb2.py
index 38ba097b9..c46d9c3a4 100644
--- a/weaviate/proto/v1/v6300/v1/search_get_pb2.py
+++ b/weaviate/proto/v1/v6300/v1/search_get_pb2.py
@@ -29,7 +29,7 @@
 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\x12v1/decisions.proto\x1a\x13v1/properties.proto\"\x86\x0c\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$\n\x07sort_by\x18\" \x03(\x0b\x32\x13.weaviate.v1.SortBy\x12*\n\x07\x66ilters\x18( 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\x01(\x0b\x32\x1a.weaviate.v1.NearIMUSearchH\x0f\x88\x01\x01\x12\x36\n\ngenerative\x18< \x01(\x0b\x32\x1d.weaviate.v1.GenerativeSearchH\x10\x88\x01\x01\x12(\n\x06rerank\x18= \x01(\x0b\x32\x13.weaviate.v1.RerankH\x11\x88\x01\x01\x12+\n\x06\x64\x65\x63ide\x18? \x01(\x0b\x32\x16.weaviate.v1.DecisionsH\x12\x88\x01\x01\x12&\n\x05\x62oost\x18> \x01(\x0b\x32\x12.weaviate.v1.BoostH\x13\x88\x01\x01\x12\x18\n\x0cuses_123_api\x18\x64 \x01(\x08\x42\x02\x18\x01\x12\x18\n\x0cuses_125_api\x18\x65 \x01(\x08\x42\x02\x18\x01\x12\x14\n\x0cuses_127_api\x18\x66 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+DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x13v1/search_get.proto\x12\x0bweaviate.v1\x1a\rv1/base.proto\x1a\x14v1/base_search.proto\x1a\x13v1/generative.proto\x1a\x12v1/decisions.proto\x1a\x13v1/properties.proto\"\x86\x0c\n\rSearchRequest\x12\x12\n\ncollection\x18\x01 \x01(\t\x12\x0e\n\x06tenant\x18\n \x01(\t\x12=\n\x11\x63onsistency_level\x18\x0b \x01(\x0e\x32\x1d.weaviate.v1.ConsistencyLevelH\x00\x88\x01\x01\x12\x37\n\nproperties\x18\x14 \x01(\x0b\x32\x1e.weaviate.v1.PropertiesRequestH\x01\x88\x01\x01\x12\x33\n\x08metadata\x18\x15 \x01(\x0b\x32\x1c.weaviate.v1.MetadataRequestH\x02\x88\x01\x01\x12+\n\x08group_by\x18\x16 \x01(\x0b\x32\x14.weaviate.v1.GroupByH\x03\x88\x01\x01\x12\r\n\x05limit\x18\x1e \x01(\r\x12\x0e\n\x06offset\x18\x1f \x01(\r\x12\x0f\n\x07\x61utocut\x18  \x01(\r\x12\r\n\x05\x61\x66ter\x18! \x01(\t\x12$\n\x07sort_by\x18\" \x03(\x0b\x32\x13.weaviate.v1.SortBy\x12*\n\x07\x66ilters\x18( 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\n\x1cPROPERTY_VALUE_MODIFIER_SQRT\x10\x02\"u\n\nDecayCurve\x12\x1b\n\x17\x44\x45\x43\x41Y_CURVE_UNSPECIFIED\x10\x00\x12\x15\n\x11\x44\x45\x43\x41Y_CURVE_GAUSS\x10\x01\x12\x16\n\x12\x44\x45\x43\x41Y_CURVE_LINEAR\x10\x02\x12\x1b\n\x17\x44\x45\x43\x41Y_CURVE_EXPONENTIAL\x10\x03\x42\t\n\x07_weightB\x08\n\x06_depth*b\n\x0bRerankOrder\x12\x1c\n\x18RERANK_ORDER_UNSPECIFIED\x10\x00\x12\x17\n\x13RERANK_ORDER_SEARCH\x10\x01\x12\x1c\n\x18RERANK_ORDER_PROBABILITY\x10\x02\x42s\n#io.weaviate.client.grpc.protocol.v1B\x16WeaviateProtoSearchGetZ4github.com/weaviate/weaviate/grpc/generated;protocolb\x06proto3')
 
 _globals = globals()
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
@@ -55,6 +55,8 @@
   _globals['_METADATARESULT'].fields_by_name['generative']._serialized_options = b'\030\001'
   _globals['_METADATARESULT'].fields_by_name['generative_present']._loaded_options = None
   _globals['_METADATARESULT'].fields_by_name['generative_present']._serialized_options = b'\030\001'
+  _globals['_RERANKORDER']._serialized_start=6471
+  _globals['_RERANKORDER']._serialized_end=6569
   _globals['_SEARCHREQUEST']._serialized_start=136
   _globals['_SEARCHREQUEST']._serialized_end=1678
   _globals['_GROUPBY']._serialized_start=1680
@@ -70,43 +72,45 @@
   _globals['_REFPROPERTIESREQUEST']._serialized_start=2403
   _globals['_REFPROPERTIESREQUEST']._serialized_end=2580
   _globals['_RERANK']._serialized_start=2582
-  _globals['_RERANK']._serialized_end=2638
-  _globals['_SEARCHREPLY']._serialized_start=2641
-  _globals['_SEARCHREPLY']._serialized_end=3016
-  _globals['_QUERYPROFILE']._serialized_start=3019
-  _globals['_QUERYPROFILE']._serialized_end=3433
-  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_start=3092
-  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_end=3226
-  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_start=3180
-  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_end=3226
-  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_start=3229
-  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_end=3433
-  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_start=3345
-  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_end=3433
-  _globals['_RERANKREPLY']._serialized_start=3435
-  _globals['_RERANKREPLY']._serialized_end=3463
-  _globals['_GROUPBYRESULT']._serialized_start=3466
-  _globals['_GROUPBYRESULT']._serialized_end=3827
-  _globals['_SEARCHRESULT']._serialized_start=3830
-  _globals['_SEARCHRESULT']._serialized_end=4080
-  _globals['_METADATARESULT']._serialized_start=4083
-  _globals['_METADATARESULT']._serialized_end=4714
-  _globals['_PROPERTIESRESULT']._serialized_start=4717
-  _globals['_PROPERTIESRESULT']._serialized_end=4981
-  _globals['_REFPROPERTIESRESULT']._serialized_start=4983
-  _globals['_REFPROPERTIESRESULT']._serialized_end=5074
-  _globals['_BOOST']._serialized_start=5077
-  _globals['_BOOST']._serialized_end=6280
-  _globals['_BOOST_PROPERTYVALUEFUNCTION']._serialized_start=5177
-  _globals['_BOOST_PROPERTYVALUEFUNCTION']._serialized_end=5296
-  _globals['_BOOST_TIMEDECAYFUNCTION']._serialized_start=5299
-  _globals['_BOOST_TIMEDECAYFUNCTION']._serialized_end=5502
-  _globals['_BOOST_NUMERICDECAYFUNCTION']._serialized_start=5505
-  _globals['_BOOST_NUMERICDECAYFUNCTION']._serialized_end=5711
-  _globals['_BOOST_CONDITION']._serialized_start=5714
-  _globals['_BOOST_CONDITION']._serialized_end=6004
-  _globals['_BOOST_PROPERTYVALUEMODIFIER']._serialized_start=6007
-  _globals['_BOOST_PROPERTYVALUEMODIFIER']._serialized_end=6140
-  _globals['_BOOST_DECAYCURVE']._serialized_start=6142
-  _globals['_BOOST_DECAYCURVE']._serialized_end=6259
+  _globals['_RERANK']._serialized_end=2703
+  _globals['_RERANKDECISION']._serialized_start=2705
+  _globals['_RERANKDECISION']._serialized_end=2827
+  _globals['_SEARCHREPLY']._serialized_start=2830
+  _globals['_SEARCHREPLY']._serialized_end=3205
+  _globals['_QUERYPROFILE']._serialized_start=3208
+  _globals['_QUERYPROFILE']._serialized_end=3622
+  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_start=3281
+  _globals['_QUERYPROFILE_SEARCHPROFILE']._serialized_end=3415
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_start=3369
+  _globals['_QUERYPROFILE_SEARCHPROFILE_DETAILSENTRY']._serialized_end=3415
+  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_start=3418
+  _globals['_QUERYPROFILE_SHARDPROFILE']._serialized_end=3622
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_start=3534
+  _globals['_QUERYPROFILE_SHARDPROFILE_SEARCHESENTRY']._serialized_end=3622
+  _globals['_RERANKREPLY']._serialized_start=3624
+  _globals['_RERANKREPLY']._serialized_end=3652
+  _globals['_GROUPBYRESULT']._serialized_start=3655
+  _globals['_GROUPBYRESULT']._serialized_end=4016
+  _globals['_SEARCHRESULT']._serialized_start=4019
+  _globals['_SEARCHRESULT']._serialized_end=4269
+  _globals['_METADATARESULT']._serialized_start=4272
+  _globals['_METADATARESULT']._serialized_end=4903
+  _globals['_PROPERTIESRESULT']._serialized_start=4906
+  _globals['_PROPERTIESRESULT']._serialized_end=5170
+  _globals['_REFPROPERTIESRESULT']._serialized_start=5172
+  _globals['_REFPROPERTIESRESULT']._serialized_end=5263
+  _globals['_BOOST']._serialized_start=5266
+  _globals['_BOOST']._serialized_end=6469
+  _globals['_BOOST_PROPERTYVALUEFUNCTION']._serialized_start=5366
+  _globals['_BOOST_PROPERTYVALUEFUNCTION']._serialized_end=5485
+  _globals['_BOOST_TIMEDECAYFUNCTION']._serialized_start=5488
+  _globals['_BOOST_TIMEDECAYFUNCTION']._serialized_end=5691
+  _globals['_BOOST_NUMERICDECAYFUNCTION']._serialized_start=5694
+  _globals['_BOOST_NUMERICDECAYFUNCTION']._serialized_end=5900
+  _globals['_BOOST_CONDITION']._serialized_start=5903
+  _globals['_BOOST_CONDITION']._serialized_end=6193
+  _globals['_BOOST_PROPERTYVALUEMODIFIER']._serialized_start=6196
+  _globals['_BOOST_PROPERTYVALUEMODIFIER']._serialized_end=6329
+  _globals['_BOOST_DECAYCURVE']._serialized_start=6331
+  _globals['_BOOST_DECAYCURVE']._serialized_end=6448
 # @@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 3a7a5e60c..b15261c33 100644
--- a/weaviate/proto/v1/v6300/v1/search_get_pb2.pyi
+++ b/weaviate/proto/v1/v6300/v1/search_get_pb2.pyi
@@ -12,6 +12,15 @@ from typing import ClassVar as _ClassVar, Optional as _Optional, Union as _Union
 
 DESCRIPTOR: _descriptor.FileDescriptor
 
+class RerankOrder(int, metaclass=_enum_type_wrapper.EnumTypeWrapper):
+    __slots__ = ()
+    RERANK_ORDER_UNSPECIFIED: _ClassVar[RerankOrder]
+    RERANK_ORDER_SEARCH: _ClassVar[RerankOrder]
+    RERANK_ORDER_PROBABILITY: _ClassVar[RerankOrder]
+RERANK_ORDER_UNSPECIFIED: RerankOrder
+RERANK_ORDER_SEARCH: RerankOrder
+RERANK_ORDER_PROBABILITY: RerankOrder
+
 class SearchRequest(_message.Message):
     __slots__ = ("collection", "tenant", "consistency_level", "properties", "metadata", "group_by", "limit", "offset", "autocut", "after", "sort_by", "filters", "hybrid_search", "bm25_search", "near_vector", "near_object", "near_text", "near_image", "near_audio", "near_video", "near_depth", "near_thermal", "near_imu", "generative", "rerank", "decide", "boost", "uses_123_api", "uses_125_api", "uses_127_api")
     COLLECTION_FIELD_NUMBER: _ClassVar[int]
@@ -155,12 +164,22 @@ class RefPropertiesRequest(_message.Message):
     def __init__(self, reference_property: _Optional[str] = ..., properties: _Optional[_Union[PropertiesRequest, _Mapping]] = ..., metadata: _Optional[_Union[MetadataRequest, _Mapping]] = ..., target_collection: _Optional[str] = ...) -> None: ...
 
 class Rerank(_message.Message):
-    __slots__ = ("property", "query")
+    __slots__ = ("property", "query", "decision")
     PROPERTY_FIELD_NUMBER: _ClassVar[int]
     QUERY_FIELD_NUMBER: _ClassVar[int]
+    DECISION_FIELD_NUMBER: _ClassVar[int]
     property: str
     query: str
-    def __init__(self, property: _Optional[str] = ..., query: _Optional[str] = ...) -> None: ...
+    decision: RerankDecision
+    def __init__(self, property: _Optional[str] = ..., query: _Optional[str] = ..., decision: _Optional[_Union[RerankDecision, _Mapping]] = ...) -> None: ...
+
+class RerankDecision(_message.Message):
+    __slots__ = ("min_probability", "order")
+    MIN_PROBABILITY_FIELD_NUMBER: _ClassVar[int]
+    ORDER_FIELD_NUMBER: _ClassVar[int]
+    min_probability: float
+    order: RerankOrder
+    def __init__(self, min_probability: _Optional[float] = ..., order: _Optional[_Union[RerankOrder, str]] = ...) -> None: ...
 
 class SearchReply(_message.Message):
     __slots__ = ("took", "results", "generative_grouped_result", "group_by_results", "generative_grouped_results", "query_profile")