diff --git a/qdrant_client/conversions/conversion.py b/qdrant_client/conversions/conversion.py
index ce73ff3d..23790251 100644
--- a/qdrant_client/conversions/conversion.py
+++ b/qdrant_client/conversions/conversion.py
@@ -141,7 +141,7 @@ class GrpcToRest:
     def convert_condition(cls, model: grpc.Condition) -> rest.Condition:
         name = model.WhichOneof("condition_one_of")
         if name is None:
-            raise ValueError(f"invalid Condition model: {model}")
+            raise ValueError(f"invalid Condition model: {model}")  # pragma: no cover
         val = getattr(model, name)
 
         if name == "field":
@@ -490,7 +490,7 @@ def convert_create_alias(cls, model: grpc.CreateAlias) -> rest.CreateAlias:
     def convert_order_value(cls, model: grpc.OrderValue) -> rest.OrderValue:
         name = model.WhichOneof("variant")
         if name is None:
-            raise ValueError(f"invalid OrderValue model: {model}")
+            raise ValueError(f"invalid OrderValue model: {model}")  # pragma: no cover
         val = getattr(model, name)
 
         if name == "int":
@@ -508,7 +508,9 @@ def convert_scored_point(cls, model: grpc.ScoredPoint) -> rest.ScoredPoint:
             id=cls.convert_point_id(model.id),
             payload=cls.convert_payload(model.payload) if has_field(model, "payload") else None,
             score=model.score,
-            vector=cls.convert_vectors(model.vectors) if model.HasField("vectors") else None,
+            vector=cls.convert_vectors_output(model.vectors)
+            if model.HasField("vectors")
+            else None,
             version=model.version,
             shard_key=(
                 cls.convert_shard_key(model.shard_key) if model.HasField("shard_key") else None
@@ -587,7 +589,7 @@ def convert_field_condition(cls, model: grpc.FieldCondition) -> rest.FieldCondit
     def convert_match(cls, model: grpc.Match) -> rest.Match:
         name = model.WhichOneof("match_value")
         if name is None:
-            raise ValueError(f"invalid Match model: {model}")
+            raise ValueError(f"invalid Match model: {model}")  # pragma: no cover
         val = getattr(model, name)
 
         if name == "integer":
@@ -722,7 +724,7 @@ def convert_geo_point(cls, model: grpc.GeoPoint) -> rest.GeoPoint:
     def convert_alias_operations(cls, model: grpc.AliasOperations) -> rest.AliasOperations:
         name = model.WhichOneof("action")
         if name is None:
-            raise ValueError(f"invalid AliasOperations model: {model}")
+            raise ValueError(f"invalid AliasOperations model: {model}")  # pragma: no cover
         val = getattr(model, name)
 
         if name == "rename_alias":
@@ -747,7 +749,7 @@ def convert_points_selector(
     ) -> rest.PointsSelector:
         name = model.WhichOneof("points_selector_one_of")
         if name is None:
-            raise ValueError(f"invalid PointsSelector model: {model}")
+            raise ValueError(f"invalid PointsSelector model: {model}")  # pragma: no cover
         val = getattr(model, name)
 
         if name == "points":
@@ -768,7 +770,7 @@ def convert_with_payload_selector(
     ) -> rest.WithPayloadInterface:
         name = model.WhichOneof("selector_options")
         if name is None:
-            raise ValueError(f"invalid WithPayloadSelector model: {model}")
+            raise ValueError(f"invalid WithPayloadSelector model: {model}")  # pragma: no cover
         val = getattr(model, name)
 
         if name == "enable":
@@ -791,7 +793,9 @@ def convert_retrieved_point(cls, model: grpc.RetrievedPoint) -> rest.Record:
         return rest.Record(
             id=cls.convert_point_id(model.id),
             payload=cls.convert_payload(model.payload),
-            vector=cls.convert_vectors(model.vectors) if model.HasField("vectors") else None,
+            vector=cls.convert_vectors_output(model.vectors)
+            if model.HasField("vectors")
+            else None,
             shard_key=(
                 cls.convert_shard_key(model.shard_key) if model.HasField("shard_key") else None
             ),
@@ -833,7 +837,7 @@ def convert_datatype(cls, model: grpc.Datatype) -> rest.Datatype:
         elif model == grpc.Datatype.Float16:
             return rest.Datatype.FLOAT16
         else:
-            raise ValueError(f"invalid Datatype model: {model}")
+            raise ValueError(f"invalid Datatype model: {model}")  # pragma: no cover
 
     @classmethod
     def convert_vector_params(cls, model: grpc.VectorParams) -> rest.VectorParams:
@@ -878,7 +882,7 @@ def convert_multivector_comparator(
     def convert_vectors_config(cls, model: grpc.VectorsConfig) -> rest.VectorsConfig:
         name = model.WhichOneof("config")
         if name is None:
-            raise ValueError(f"invalid VectorsConfig model: {model}")
+            raise ValueError(f"invalid VectorsConfig model: {model}")  # pragma: no cover
         val = getattr(model, name)
 
         if name == "params":
@@ -889,18 +893,88 @@ def convert_vectors_config(cls, model: grpc.VectorsConfig) -> rest.VectorsConfig
             )
         raise ValueError(f"invalid VectorsConfig model: {model}")  # pragma: no cover
 
+    @classmethod
+    def _convert_vector(
+        cls, model: Union[grpc.Vector, grpc.VectorOutput]
+    ) -> Tuple[
+        Optional[str],
+        Union[
+            List[float],
+            List[List[float]],
+            rest.SparseVector,
+            grpc.Document,
+            grpc.Image,
+            grpc.InferenceObject,
+        ],
+    ]:
+        """Parse common parts of vector structs
+
+        Args:
+            model: Vector or VectorOutput
+
+        Returns:
+            Tuple of name and value, name is None if the struct was parsed and returned with the converted value,
+            otherwise it's propagated for further processing along with the raw value
+        """
+        name = model.WhichOneof("vector")
+        if name is None:
+            if model.HasField("indices"):
+                return None, rest.SparseVector(indices=model.indices.data[:], values=model.data[:])
+            if model.HasField("vectors_count"):
+                vectors_count = model.vectors_count
+                vectors = model.data
+                step = len(vectors) // vectors_count
+                return None, [vectors[i : i + step] for i in range(0, len(vectors), step)]
+
+            return None, model.data[:]
+
+        val = getattr(model, name)
+        if name == "dense":
+            return None, cls.convert_dense_vector(val)
+
+        if name == "sparse":
+            return None, cls.convert_sparse_vector(val)
+
+        if name == "multi_dense":
+            return None, cls.convert_multi_dense_vector(val)
+
+        return name, val
+
     @classmethod
     def convert_vector(
         cls, model: grpc.Vector
+    ) -> Union[
+        List[float],
+        List[List[float]],
+        rest.SparseVector,
+        rest.Document,
+        rest.Image,
+        rest.InferenceObject,
+    ]:
+        name, val = cls._convert_vector(model)
+
+        if name is None:
+            return val
+
+        if name == "document":
+            return cls.convert_document(val)
+
+        if name == "image":
+            return cls.convert_image(val)
+
+        if name == "object":
+            return cls.convert_inference_object(val)
+
+        raise ValueError(f"invalid Vector model: {model}")  # pragma: no cover
+
+    @classmethod
+    def convert_vector_output(
+        cls, model: grpc.VectorOutput
     ) -> Union[List[float], List[List[float]], rest.SparseVector]:
-        if model.HasField("indices"):
-            return rest.SparseVector(indices=model.indices.data[:], values=model.data[:])
-        if model.HasField("vectors_count"):
-            vectors_count = model.vectors_count
-            vectors = model.data
-            step = len(vectors) // vectors_count
-            return [vectors[i : i + step] for i in range(0, len(vectors), step)]
-        return model.data[:]
+        name, val = cls._convert_vector(model)
+        if name is None:
+            return val
+        raise ValueError(f"invalid Vector model: {model}")  # pragma: no cover
 
     @classmethod
     def convert_named_vectors(cls, model: grpc.NamedVectors) -> Dict[str, rest.Vector]:
@@ -910,11 +984,21 @@ def convert_named_vectors(cls, model: grpc.NamedVectors) -> Dict[str, rest.Vecto
 
         return vectors
 
+    @classmethod
+    def convert_named_vectors_output(
+        cls, model: grpc.NamedVectorsOutput
+    ) -> Dict[str, rest.VectorOutput]:
+        vectors = {}
+        for name, vector in model.vectors.items():
+            vectors[name] = cls.convert_vector_output(vector)
+
+        return vectors
+
     @classmethod
     def convert_vectors(cls, model: grpc.Vectors) -> rest.VectorStruct:
         name = model.WhichOneof("vectors_options")
         if name is None:
-            raise ValueError(f"invalid Vectors model: {model}")
+            raise ValueError(f"invalid Vectors model: {model}")  # pragma: no cover
         val = getattr(model, name)
 
         if name == "vector":
@@ -923,6 +1007,19 @@ def convert_vectors(cls, model: grpc.Vectors) -> rest.VectorStruct:
             return cls.convert_named_vectors(val)
         raise ValueError(f"invalid Vectors model: {model}")  # pragma: no cover
 
+    @classmethod
+    def convert_vectors_output(cls, model: grpc.VectorsOutput) -> rest.VectorStructOutput:
+        name = model.WhichOneof("vectors_options")
+        if name is None:
+            raise ValueError(f"invalid VectorsOutput model: {model}")  # pragma: no cover
+        val = getattr(model, name)
+
+        if name == "vector":
+            return cls.convert_vector_output(val)
+        if name == "vectors":
+            return cls.convert_named_vectors_output(val)
+        raise ValueError(f"invalid VectorsOutput model: {model}")  # pragma: no cover
+
     @classmethod
     def convert_dense_vector(cls, model: grpc.DenseVector) -> List[float]:
         return model.data[:]
@@ -935,11 +1032,35 @@ def convert_sparse_vector(cls, model: grpc.SparseVector) -> rest.SparseVector:
     def convert_multi_dense_vector(cls, model: grpc.MultiDenseVector) -> List[List[float]]:
         return [cls.convert_dense_vector(vector) for vector in model.vectors]
 
+    @classmethod
+    def convert_document(cls, model: grpc.Document) -> rest.Document:
+        return rest.Document(
+            text=model.text,
+            model=model.model if model.HasField("model") else None,
+            options=grpc_to_payload(model.options),
+        )
+
+    @classmethod
+    def convert_image(cls, model: grpc.Image) -> rest.Image:
+        return rest.Image(
+            image=model.image,
+            model=model.model if model.HasField("model") else None,
+            options=grpc_to_payload(model.options),
+        )
+
+    @classmethod
+    def convert_inference_object(cls, model: grpc.InferenceObject) -> rest.InferenceObject:
+        return rest.InferenceObject(
+            object=model.object,
+            model=model.model if model.HasField("model") else None,
+            options=grpc_to_payload(model.options),
+        )
+
     @classmethod
     def convert_vector_input(cls, model: grpc.VectorInput) -> rest.VectorInput:
         name = model.WhichOneof("variant")
         if name is None:
-            raise ValueError(f"invalid VectorInput model: {model}")
+            raise ValueError(f"invalid VectorInput model: {model}")  # pragma: no cover
         val = getattr(model, name)
 
         if name == "id":
@@ -950,7 +1071,13 @@ def convert_vector_input(cls, model: grpc.VectorInput) -> rest.VectorInput:
             return cls.convert_sparse_vector(val)
         if name == "multi_dense":
             return cls.convert_multi_dense_vector(val)
-        raise ValueError(f"invalid VectorInput model: {model}")
+        if name == "document":
+            return cls.convert_document(val)
+        if name == "image":
+            return cls.convert_image(val)
+        if name == "object":
+            return cls.convert_inference_object(val)
+        raise ValueError(f"invalid VectorInput model: {model}")  # pragma: no cover
 
     @classmethod
     def convert_recommend_input(cls, model: grpc.RecommendInput) -> rest.RecommendInput:
@@ -1001,7 +1128,7 @@ def convert_sample(cls, model: grpc.Sample) -> rest.Sample:
     def convert_query(cls, model: grpc.Query) -> rest.Query:
         name = model.WhichOneof("variant")
         if name is None:
-            raise ValueError(f"invalid Query model: {model}")
+            raise ValueError(f"invalid Query model: {model}")  # pragma: no cover
         val = getattr(model, name)
 
         if name == "nearest":
@@ -1025,7 +1152,7 @@ def convert_query(cls, model: grpc.Query) -> rest.Query:
         if name == "sample":
             return rest.SampleQuery(sample=cls.convert_sample(val))
 
-        raise ValueError(f"invalid Query model: {model}")
+        raise ValueError(f"invalid Query model: {model}")  # pragma: no cover
 
     @classmethod
     def convert_prefetch_query(cls, model: grpc.PrefetchQuery) -> rest.Prefetch:
@@ -1052,7 +1179,7 @@ def convert_vectors_selector(cls, model: grpc.VectorsSelector) -> List[str]:
     def convert_with_vectors_selector(cls, model: grpc.WithVectorsSelector) -> rest.WithVector:
         name = model.WhichOneof("selector_options")
         if name is None:
-            raise ValueError(f"invalid WithVectorsSelector model: {model}")
+            raise ValueError(f"invalid WithVectorsSelector model: {model}")  # pragma: no cover
         val = getattr(model, name)
 
         if name == "enable":
@@ -1063,8 +1190,20 @@ def convert_with_vectors_selector(cls, model: grpc.WithVectorsSelector) -> rest.
 
     @classmethod
     def convert_search_points(cls, model: grpc.SearchPoints) -> rest.SearchRequest:
+        vector = (
+            rest.NamedVector(name=model.vector_name, vector=model.vector[:])
+            if not model.HasField("sparse_indices")
+            else (
+                rest.NamedSparseVector(
+                    name=model.vector_name,
+                    vector=rest.SparseVector(
+                        indices=model.sparse_indices.data[:], values=model.vector[:]
+                    ),
+                )
+            )
+        )
         return rest.SearchRequest(
-            vector=rest.NamedVector(name=model.vector_name, vector=model.vector[:]),
+            vector=vector,
             filter=cls.convert_filter(model.filter) if model.HasField("filter") else None,
             limit=model.limit,
             with_payload=(
@@ -1348,7 +1487,7 @@ def convert_write_ordering(cls, model: grpc.WriteOrdering) -> rest.WriteOrdering
     def convert_read_consistency(cls, model: grpc.ReadConsistency) -> rest.ReadConsistency:
         name = model.WhichOneof("value")
         if name is None:
-            raise ValueError(f"invalid ReadConsistency model: {model}")
+            raise ValueError(f"invalid ReadConsistency model: {model}")  # pragma: no cover
         val = getattr(model, name)
         if name == "factor":
             return val
@@ -1415,7 +1554,7 @@ def convert_quantization_config(
     ) -> rest.QuantizationConfig:
         name = model.WhichOneof("quantization")
         if name is None:
-            raise ValueError(f"invalid QuantizationConfig model: {model}")
+            raise ValueError(f"invalid QuantizationConfig model: {model}")  # pragma: no cover
         val = getattr(model, name)
         if name == "scalar":
             return rest.ScalarQuantization(scalar=cls.convert_scalar_quantization_config(val))
@@ -1460,7 +1599,7 @@ def convert_point_group(cls, model: grpc.PointGroup) -> rest.PointGroup:
     def convert_group_id(cls, model: grpc.GroupId) -> rest.GroupId:
         name = model.WhichOneof("kind")
         if name is None:
-            raise ValueError(f"invalid GroupId model: {model}")
+            raise ValueError(f"invalid GroupId model: {model}")  # pragma: no cover
         val = getattr(model, name)
         return val
 
@@ -1486,7 +1625,7 @@ def convert_quantization_config_diff(
     ) -> rest.QuantizationConfigDiff:
         name = model.WhichOneof("quantization")
         if name is None:
-            raise ValueError(f"invalid QuantizationConfigDiff model: {model}")
+            raise ValueError(f"invalid QuantizationConfigDiff model: {model}")  # pragma: no cover
         val = getattr(model, name)
         if name == "scalar":
             return rest.ScalarQuantization(scalar=cls.convert_scalar_quantization_config(val))
@@ -1518,7 +1657,7 @@ def convert_vector_params_diff(cls, model: grpc.VectorParamsDiff) -> rest.Vector
     def convert_vectors_config_diff(cls, model: grpc.VectorsConfigDiff) -> rest.VectorsConfigDiff:
         name = model.WhichOneof("config")
         if name is None:
-            raise ValueError(f"invalid VectorsConfigDiff model: {model}")
+            raise ValueError(f"invalid VectorsConfigDiff model: {model}")  # pragma: no cover
         val = getattr(model, name)
 
         if name == "params":
@@ -1536,7 +1675,7 @@ def convert_points_update_operation(
     ) -> rest.UpdateOperation:
         name = model.WhichOneof("operation")
         if name is None:
-            raise ValueError(f"invalid PointsUpdateOperation model: {model}")
+            raise ValueError(f"invalid PointsUpdateOperation model: {model}")  # pragma: no cover
         val = getattr(model, name)
 
         if name == "upsert":
@@ -1712,7 +1851,7 @@ def convert_modifier(cls, model: grpc.Modifier) -> rest.Modifier:
             return rest.Modifier.IDF
         if model == getattr(grpc.Modifier, "None"):
             return rest.Modifier.NONE
-        raise ValueError(f"invalid Modifier model: {model}")
+        raise ValueError(f"invalid Modifier model: {model}")  # pragma: no cover
 
     @classmethod
     def convert_sparse_vector_params(
@@ -1739,7 +1878,7 @@ def convert_sparse_vector_config(
     def convert_shard_key(cls, model: grpc.ShardKey) -> rest.ShardKey:
         name = model.WhichOneof("key")
         if name is None:
-            raise ValueError(f"invalid ShardKey model: {model}")
+            raise ValueError(f"invalid ShardKey model: {model}")  # pragma: no cover
         val = getattr(model, name)
         return val
 
@@ -1793,7 +1932,7 @@ def convert_order_by(cls, model: grpc.OrderBy) -> rest.OrderBy:
     def convert_facet_value(cls, model: grpc.FacetValue) -> rest.FacetValue:
         name = model.WhichOneof("variant")
         if name is None:
-            raise ValueError(f"invalid FacetValue model: {model}")
+            raise ValueError(f"invalid FacetValue model: {model}")  # pragma: no cover
 
         val = getattr(model, name)
         return val
@@ -2099,7 +2238,9 @@ def convert_scored_point(cls, model: rest.ScoredPoint) -> grpc.ScoredPoint:
             id=cls.convert_extended_point_id(model.id),
             payload=cls.convert_payload(model.payload) if model.payload is not None else None,
             score=model.score,
-            vectors=cls.convert_vector_struct(model.vector) if model.vector is not None else None,
+            vectors=cls.convert_vector_struct_output(model.vector)
+            if model.vector is not None
+            else None,
             version=model.version,
             shard_key=cls.convert_shard_key(model.shard_key) if model.shard_key else None,
             order_value=cls.convert_order_value(model.order_value) if model.order_value else None,
@@ -2416,6 +2557,13 @@ def convert_sparse_vector_to_vector(cls, model: rest.SparseVector) -> grpc.Vecto
             indices=grpc.SparseIndices(data=model.indices),
         )
 
+    @classmethod
+    def convert_sparse_vector_to_vector_output(cls, model: rest.SparseVector) -> grpc.VectorOutput:
+        return grpc.VectorOutput(
+            data=model.values,
+            indices=grpc.SparseIndices(data=model.indices),
+        )
+
     @classmethod
     def convert_target_vector(cls, model: rest.RecommendExample) -> grpc.TargetVector:
         return grpc.TargetVector(single=cls.convert_recommend_example(model))
@@ -2519,7 +2667,7 @@ def convert_direction(cls, model: rest.Direction) -> grpc.Direction:
             return grpc.Direction.Asc
         if model == rest.Direction.DESC:
             return grpc.Direction.Desc
-        raise ValueError(f"invalid Direction model: {model}")
+        raise ValueError(f"invalid Direction model: {model}")  # pragma: no cover
 
     @classmethod
     def convert_order_by(cls, model: rest.OrderBy) -> grpc.OrderBy:
@@ -2534,15 +2682,13 @@ def convert_order_by(cls, model: rest.OrderBy) -> grpc.OrderBy:
         )
 
     @classmethod
-    def convert_order_by_interface(
-        cls, model: rest.OrderByInterface
-    ) -> grpc.OrderBy:  # pragma: no cover
+    def convert_order_by_interface(cls, model: rest.OrderByInterface) -> grpc.OrderBy:
         # using no cover because there is no OrderByInterface in grpc
         if isinstance(model, str):
             return grpc.OrderBy(key=model)
         if isinstance(model, rest.OrderBy):
             return cls.convert_order_by(model)
-        raise ValueError(f"invalid OrderByInterface model: {model}")
+        raise ValueError(f"invalid OrderByInterface model: {model}")  # pragma: no cover
 
     @classmethod
     def convert_facet_value(cls, model: rest.FacetValue) -> grpc.FacetValue:
@@ -2551,7 +2697,7 @@ def convert_facet_value(cls, model: rest.FacetValue) -> grpc.FacetValue:
         if isinstance(model, int):
             return grpc.FacetValue(integer_value=model)
 
-        raise ValueError(f"invalid FacetValue model: {model}")
+        raise ValueError(f"invalid FacetValue model: {model}")  # pragma: no cover
 
     @classmethod
     def convert_facet_value_hit(cls, model: rest.FacetValueHit) -> grpc.FacetHit:
@@ -2565,7 +2711,9 @@ def convert_record(cls, model: rest.Record) -> grpc.RetrievedPoint:
         return grpc.RetrievedPoint(
             id=cls.convert_extended_point_id(model.id),
             payload=cls.convert_payload(model.payload),
-            vectors=cls.convert_vector_struct(model.vector) if model.vector is not None else None,
+            vectors=cls.convert_vector_struct_output(model.vector)
+            if model.vector is not None
+            else None,
             shard_key=cls.convert_shard_key(model.shard_key) if model.shard_key else None,
             order_value=cls.convert_order_value(model.order_value) if model.order_value else None,
         )
@@ -2678,10 +2826,51 @@ def convert_vector(vector: Union[List[float], List[List[float]]]) -> grpc.Vector
                     vectors.update({key: convert_vector(val)})
                 elif isinstance(val, rest.SparseVector):
                     vectors.update({key: cls.convert_sparse_vector_to_vector(val)})
+                elif isinstance(val, rest.Document):
+                    vectors.update({key: grpc.Vector(document=cls.convert_document(val))})
+                elif isinstance(val, rest.Image):
+                    vectors.update({key: grpc.Vector(image=cls.convert_image(val))})
+                elif isinstance(val, rest.InferenceObject):
+                    vectors.update({key: grpc.Vector(object=cls.convert_inference_object(val))})
             return grpc.Vectors(vectors=grpc.NamedVectors(vectors=vectors))
+        elif isinstance(model, rest.Document):
+            return grpc.Vectors(vector=grpc.Vector(document=cls.convert_document(model)))
+        elif isinstance(model, rest.Image):
+            return grpc.Vectors(vector=grpc.Vector(image=cls.convert_image(model)))
+        elif isinstance(model, rest.InferenceObject):
+            return grpc.Vectors(vector=grpc.Vector(object=cls.convert_inference_object(model)))
         else:
             raise ValueError(f"invalid VectorStruct model: {model}")  # pragma: no cover
 
+    @classmethod
+    def convert_vector_struct_output(cls, model: rest.VectorStructOutput) -> grpc.VectorsOutput:
+        def convert_vector(vector: Union[List[float], List[List[float]]]) -> grpc.VectorOutput:
+            if len(vector) != 0 and isinstance(
+                vector[0], list
+            ):  # we can't say whether it is an empty dense or multi-dense vector
+                return grpc.VectorOutput(
+                    data=[
+                        inner_vector
+                        for multi_vector in vector
+                        for inner_vector in multi_vector  # type: ignore
+                    ],
+                    vectors_count=len(vector),
+                )
+            return grpc.VectorOutput(data=vector)
+
+        if isinstance(model, list):
+            return grpc.VectorsOutput(vector=convert_vector(model))
+        elif isinstance(model, dict):
+            vectors: Dict = {}
+            for key, val in model.items():
+                if isinstance(val, list):
+                    vectors.update({key: convert_vector(val)})
+                elif isinstance(val, rest.SparseVector):
+                    vectors.update({key: cls.convert_sparse_vector_to_vector_output(val)})
+            return grpc.VectorsOutput(vectors=grpc.NamedVectorsOutput(vectors=vectors))
+        else:
+            raise ValueError(f"invalid VectorStructOutput model: {model}")  # pragma: no cover
+
     @classmethod
     def convert_with_vectors(cls, model: rest.WithVector) -> grpc.WithVectorsSelector:
         if isinstance(model, bool):
@@ -2733,6 +2922,24 @@ def convert_multi_dense_vector(cls, model: List[List[float]]) -> grpc.MultiDense
             vectors=[cls.convert_dense_vector(vector) for vector in model]
         )
 
+    @classmethod
+    def convert_document(cls, model: rest.Document) -> grpc.Document:
+        return grpc.Document(
+            text=model.text, model=model.model, options=payload_to_grpc(model.options)
+        )
+
+    @classmethod
+    def convert_image(cls, model: rest.Image) -> grpc.Image:
+        return grpc.Image(
+            image=model.image, model=model.model, options=payload_to_grpc(model.options)
+        )
+
+    @classmethod
+    def convert_inference_object(cls, model: rest.InferenceObject) -> grpc.InferenceObject:
+        return grpc.InferenceObject(
+            object=model.object, model=model.model, options=payload_to_grpc(model.options)
+        )
+
     @classmethod
     def convert_vector_input(cls, model: rest.VectorInput) -> grpc.VectorInput:
         if isinstance(model, list):
@@ -2745,6 +2952,12 @@ def convert_vector_input(cls, model: rest.VectorInput) -> grpc.VectorInput:
             return grpc.VectorInput(sparse=cls.convert_sparse_vector(model))
         if isinstance(model, get_args_subscribed(rest.ExtendedPointId)):
             return grpc.VectorInput(id=cls.convert_extended_point_id(model))
+        if isinstance(model, rest.Document):
+            return grpc.VectorInput(document=cls.convert_document(model))
+        if isinstance(model, rest.Image):
+            return grpc.VectorInput(image=cls.convert_image(model))
+        if isinstance(model, rest.InferenceObject):
+            return grpc.VectorInput(object=cls.convert_inference_object(model))
 
         raise ValueError(f"invalid VectorInput model: {model}")  # pragma: no cover
 
@@ -2795,14 +3008,14 @@ def convert_fusion(cls, model: rest.Fusion) -> grpc.Fusion:
         if model == rest.Fusion.DBSF:
             return grpc.Fusion.DBSF
 
-        raise ValueError(f"invalid Fusion model: {model}")
+        raise ValueError(f"invalid Fusion model: {model}")  # pragma: no cover
 
     @classmethod
     def convert_sample(cls, model: rest.Sample) -> grpc.Sample:
         if model == rest.Sample.RANDOM:
             return grpc.Sample.Random
 
-        raise ValueError(f"invalid Sample model: {model}")
+        raise ValueError(f"invalid Sample model: {model}")  # pragma: no cover
 
     @classmethod
     def convert_query(cls, model: rest.Query) -> grpc.Query:
@@ -3562,7 +3775,7 @@ def convert_modifier(cls, model: rest.Modifier) -> grpc.Modifier:
         elif model == rest.Modifier.NONE:
             return getattr(grpc.Modifier, "None")
         else:
-            raise ValueError(f"invalid Modifier model: {model}")
+            raise ValueError(f"invalid Modifier model: {model}")  # pragma: no cover
 
     @classmethod
     def convert_sparse_vector_params(
diff --git a/qdrant_client/grpc/points_pb2.py b/qdrant_client/grpc/points_pb2.py
index d96a9efa..bd8ff4dc 100644
--- a/qdrant_client/grpc/points_pb2.py
+++ b/qdrant_client/grpc/points_pb2.py
@@ -18,7 +18,7 @@
 from . import json_with_int_pb2 as json__with__int__pb2
 
 
-DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x0cpoints.proto\x12\x06qdrant\x1a\x11\x63ollections.proto\x1a\x1fgoogle/protobuf/timestamp.proto\x1a\x13json_with_int.proto\"8\n\rWriteOrdering\x12\'\n\x04type\x18\x01 \x01(\x0e\x32\x19.qdrant.WriteOrderingType\"Y\n\x0fReadConsistency\x12+\n\x04type\x18\x01 \x01(\x0e\x32\x1b.qdrant.ReadConsistencyTypeH\x00\x12\x10\n\x06\x66\x61\x63tor\x18\x02 \x01(\x04H\x00\x42\x07\n\x05value\"<\n\x07PointId\x12\r\n\x03num\x18\x01 \x01(\x04H\x00\x12\x0e\n\x04uuid\x18\x02 \x01(\tH\x00\x42\x12\n\x10point_id_options\"\x1d\n\rSparseIndices\x12\x0c\n\x04\x64\x61ta\x18\x01 \x03(\r\"}\n\x06Vector\x12\x0c\n\x04\x64\x61ta\x18\x01 \x03(\x02\x12+\n\x07indices\x18\x02 \x01(\x0b\x32\x15.qdrant.SparseIndicesH\x00\x88\x01\x01\x12\x1a\n\rvectors_count\x18\x03 \x01(\rH\x01\x88\x01\x01\x42\n\n\x08_indicesB\x10\n\x0e_vectors_count\"\x1b\n\x0b\x44\x65nseVector\x12\x0c\n\x04\x64\x61ta\x18\x01 \x03(\x02\"/\n\x0cSparseVector\x12\x0e\n\x06values\x18\x01 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
 _WRITEORDERINGTYPE = DESCRIPTOR.enum_types_by_name['WriteOrderingType']
 WriteOrderingType = enum_type_wrapper.EnumTypeWrapper(_WRITEORDERINGTYPE)
@@ -67,7 +67,14 @@
 _READCONSISTENCY = DESCRIPTOR.message_types_by_name['ReadConsistency']
 _POINTID = DESCRIPTOR.message_types_by_name['PointId']
 _SPARSEINDICES = DESCRIPTOR.message_types_by_name['SparseIndices']
+_DOCUMENT = DESCRIPTOR.message_types_by_name['Document']
+_DOCUMENT_OPTIONSENTRY = _DOCUMENT.nested_types_by_name['OptionsEntry']
+_IMAGE = DESCRIPTOR.message_types_by_name['Image']
+_IMAGE_OPTIONSENTRY = _IMAGE.nested_types_by_name['OptionsEntry']
+_INFERENCEOBJECT = DESCRIPTOR.message_types_by_name['InferenceObject']
+_INFERENCEOBJECT_OPTIONSENTRY = _INFERENCEOBJECT.nested_types_by_name['OptionsEntry']
 _VECTOR = DESCRIPTOR.message_types_by_name['Vector']
+_VECTOROUTPUT = DESCRIPTOR.message_types_by_name['VectorOutput']
 _DENSEVECTOR = DESCRIPTOR.message_types_by_name['DenseVector']
 _SPARSEVECTOR = DESCRIPTOR.message_types_by_name['SparseVector']
 _MULTIDENSEVECTOR = DESCRIPTOR.message_types_by_name['MultiDenseVector']
@@ -90,7 +97,10 @@
 _WITHPAYLOADSELECTOR = DESCRIPTOR.message_types_by_name['WithPayloadSelector']
 _NAMEDVECTORS = DESCRIPTOR.message_types_by_name['NamedVectors']
 _NAMEDVECTORS_VECTORSENTRY = _NAMEDVECTORS.nested_types_by_name['VectorsEntry']
+_NAMEDVECTORSOUTPUT = DESCRIPTOR.message_types_by_name['NamedVectorsOutput']
+_NAMEDVECTORSOUTPUT_VECTORSENTRY = _NAMEDVECTORSOUTPUT.nested_types_by_name['VectorsEntry']
 _VECTORS = DESCRIPTOR.message_types_by_name['Vectors']
+_VECTORSOUTPUT = DESCRIPTOR.message_types_by_name['VectorsOutput']
 _VECTORSSELECTOR = DESCRIPTOR.message_types_by_name['VectorsSelector']
 _WITHVECTORSSELECTOR = DESCRIPTOR.message_types_by_name['WithVectorsSelector']
 _QUANTIZATIONSEARCHPARAMS = DESCRIPTOR.message_types_by_name['QuantizationSearchParams']
@@ -221,6 +231,51 @@
   })
 _sym_db.RegisterMessage(SparseIndices)
 
+Document = _reflection.GeneratedProtocolMessageType('Document', (_message.Message,), {
+
+  'OptionsEntry' : _reflection.GeneratedProtocolMessageType('OptionsEntry', (_message.Message,), {
+    'DESCRIPTOR' : _DOCUMENT_OPTIONSENTRY,
+    '__module__' : 'points_pb2'
+    # @@protoc_insertion_point(class_scope:qdrant.Document.OptionsEntry)
+    })
+  ,
+  'DESCRIPTOR' : _DOCUMENT,
+  '__module__' : 'points_pb2'
+  # @@protoc_insertion_point(class_scope:qdrant.Document)
+  })
+_sym_db.RegisterMessage(Document)
+_sym_db.RegisterMessage(Document.OptionsEntry)
+
+Image = _reflection.GeneratedProtocolMessageType('Image', (_message.Message,), {
+
+  'OptionsEntry' : _reflection.GeneratedProtocolMessageType('OptionsEntry', (_message.Message,), {
+    'DESCRIPTOR' : _IMAGE_OPTIONSENTRY,
+    '__module__' : 'points_pb2'
+    # @@protoc_insertion_point(class_scope:qdrant.Image.OptionsEntry)
+    })
+  ,
+  'DESCRIPTOR' : _IMAGE,
+  '__module__' : 'points_pb2'
+  # @@protoc_insertion_point(class_scope:qdrant.Image)
+  })
+_sym_db.RegisterMessage(Image)
+_sym_db.RegisterMessage(Image.OptionsEntry)
+
+InferenceObject = _reflection.GeneratedProtocolMessageType('InferenceObject', (_message.Message,), {
+
+  'OptionsEntry' : _reflection.GeneratedProtocolMessageType('OptionsEntry', (_message.Message,), {
+    'DESCRIPTOR' : _INFERENCEOBJECT_OPTIONSENTRY,
+    '__module__' : 'points_pb2'
+    # @@protoc_insertion_point(class_scope:qdrant.InferenceObject.OptionsEntry)
+    })
+  ,
+  'DESCRIPTOR' : _INFERENCEOBJECT,
+  '__module__' : 'points_pb2'
+  # @@protoc_insertion_point(class_scope:qdrant.InferenceObject)
+  })
+_sym_db.RegisterMessage(InferenceObject)
+_sym_db.RegisterMessage(InferenceObject.OptionsEntry)
+
 Vector = _reflection.GeneratedProtocolMessageType('Vector', (_message.Message,), {
   'DESCRIPTOR' : _VECTOR,
   '__module__' : 'points_pb2'
@@ -228,6 +283,13 @@
   })
 _sym_db.RegisterMessage(Vector)
 
+VectorOutput = _reflection.GeneratedProtocolMessageType('VectorOutput', (_message.Message,), {
+  'DESCRIPTOR' : _VECTOROUTPUT,
+  '__module__' : 'points_pb2'
+  # @@protoc_insertion_point(class_scope:qdrant.VectorOutput)
+  })
+_sym_db.RegisterMessage(VectorOutput)
+
 DenseVector = _reflection.GeneratedProtocolMessageType('DenseVector', (_message.Message,), {
   'DESCRIPTOR' : _DENSEVECTOR,
   '__module__' : 'points_pb2'
@@ -384,6 +446,21 @@
 _sym_db.RegisterMessage(NamedVectors)
 _sym_db.RegisterMessage(NamedVectors.VectorsEntry)
 
+NamedVectorsOutput = _reflection.GeneratedProtocolMessageType('NamedVectorsOutput', (_message.Message,), {
+
+  'VectorsEntry' : _reflection.GeneratedProtocolMessageType('VectorsEntry', (_message.Message,), {
+    'DESCRIPTOR' : _NAMEDVECTORSOUTPUT_VECTORSENTRY,
+    '__module__' : 'points_pb2'
+    # @@protoc_insertion_point(class_scope:qdrant.NamedVectorsOutput.VectorsEntry)
+    })
+  ,
+  'DESCRIPTOR' : _NAMEDVECTORSOUTPUT,
+  '__module__' : 'points_pb2'
+  # @@protoc_insertion_point(class_scope:qdrant.NamedVectorsOutput)
+  })
+_sym_db.RegisterMessage(NamedVectorsOutput)
+_sym_db.RegisterMessage(NamedVectorsOutput.VectorsEntry)
+
 Vectors = _reflection.GeneratedProtocolMessageType('Vectors', (_message.Message,), {
   'DESCRIPTOR' : _VECTORS,
   '__module__' : 'points_pb2'
@@ -391,6 +468,13 @@
   })
 _sym_db.RegisterMessage(Vectors)
 
+VectorsOutput = _reflection.GeneratedProtocolMessageType('VectorsOutput', (_message.Message,), {
+  'DESCRIPTOR' : _VECTORSOUTPUT,
+  '__module__' : 'points_pb2'
+  # @@protoc_insertion_point(class_scope:qdrant.VectorsOutput)
+  })
+_sym_db.RegisterMessage(VectorsOutput)
+
 VectorsSelector = _reflection.GeneratedProtocolMessageType('VectorsSelector', (_message.Message,), {
   'DESCRIPTOR' : _VECTORSSELECTOR,
   '__module__' : 'points_pb2'
@@ -1122,10 +1206,18 @@
 
   DESCRIPTOR._options = None
   DESCRIPTOR._serialized_options = b'\252\002\022Qdrant.Client.Grpc'
+  _DOCUMENT_OPTIONSENTRY._options = None
+  _DOCUMENT_OPTIONSENTRY._serialized_options = b'8\001'
+  _IMAGE_OPTIONSENTRY._options = None
+  _IMAGE_OPTIONSENTRY._serialized_options = b'8\001'
+  _INFERENCEOBJECT_OPTIONSENTRY._options = None
+  _INFERENCEOBJECT_OPTIONSENTRY._serialized_options = b'8\001'
   _SETPAYLOADPOINTS_PAYLOADENTRY._options = None
   _SETPAYLOADPOINTS_PAYLOADENTRY._serialized_options = b'8\001'
   _NAMEDVECTORS_VECTORSENTRY._options = None
   _NAMEDVECTORS_VECTORSENTRY._serialized_options = b'8\001'
+  _NAMEDVECTORSOUTPUT_VECTORSENTRY._options = None
+  _NAMEDVECTORSOUTPUT_VECTORSENTRY._serialized_options = b'8\001'
   _POINTSUPDATEOPERATION_SETPAYLOAD_PAYLOADENTRY._options = None
   _POINTSUPDATEOPERATION_SETPAYLOAD_PAYLOADENTRY._serialized_options = b'8\001'
   _POINTSUPDATEOPERATION_OVERWRITEPAYLOAD_PAYLOADENTRY._options = None
@@ -1140,22 +1232,22 @@
   _RETRIEVEDPOINT_PAYLOADENTRY._serialized_options = b'8\001'
   _POINTSTRUCT_PAYLOADENTRY._options = None
   _POINTSTRUCT_PAYLOADENTRY._serialized_options = b'8\001'
-  _WRITEORDERINGTYPE._serialized_start=22799
-  _WRITEORDERINGTYPE._serialized_end=22852
-  _READCONSISTENCYTYPE._serialized_start=22854
-  _READCONSISTENCYTYPE._serialized_end=22910
-  _FIELDTYPE._serialized_start=22913
-  _FIELDTYPE._serialized_end=23086
-  _DIRECTION._serialized_start=23088
-  _DIRECTION._serialized_end=23118
-  _RECOMMENDSTRATEGY._serialized_start=23120
-  _RECOMMENDSTRATEGY._serialized_end=23173
-  _FUSION._serialized_start=23175
-  _FUSION._serialized_end=23202
-  _SAMPLE._serialized_start=23204
-  _SAMPLE._serialized_end=23224
-  _UPDATESTATUS._serialized_start=23226
-  _UPDATESTATUS._serialized_end=23317
+  _WRITEORDERINGTYPE._serialized_start=24250
+  _WRITEORDERINGTYPE._serialized_end=24303
+  _READCONSISTENCYTYPE._serialized_start=24305
+  _READCONSISTENCYTYPE._serialized_end=24361
+  _FIELDTYPE._serialized_start=24364
+  _FIELDTYPE._serialized_end=24537
+  _DIRECTION._serialized_start=24539
+  _DIRECTION._serialized_end=24569
+  _RECOMMENDSTRATEGY._serialized_start=24571
+  _RECOMMENDSTRATEGY._serialized_end=24624
+  _FUSION._serialized_start=24626
+  _FUSION._serialized_end=24653
+  _SAMPLE._serialized_start=24655
+  _SAMPLE._serialized_end=24675
+  _UPDATESTATUS._serialized_start=24677
+  _UPDATESTATUS._serialized_end=24768
   _WRITEORDERING._serialized_start=97
   _WRITEORDERING._serialized_end=153
   _READCONSISTENCY._serialized_start=155
@@ -1164,256 +1256,276 @@
   _POINTID._serialized_end=306
   _SPARSEINDICES._serialized_start=308
   _SPARSEINDICES._serialized_end=337
-  _VECTOR._serialized_start=339
-  _VECTOR._serialized_end=464
-  _DENSEVECTOR._serialized_start=466
-  _DENSEVECTOR._serialized_end=493
-  _SPARSEVECTOR._serialized_start=495
-  _SPARSEVECTOR._serialized_end=542
-  _MULTIDENSEVECTOR._serialized_start=544
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+  _SEARCHRESPONSE._serialized_end=19917
+  _QUERYRESPONSE._serialized_start=19919
+  _QUERYRESPONSE._serialized_end=19985
+  _QUERYBATCHRESPONSE._serialized_start=19987
+  _QUERYBATCHRESPONSE._serialized_end=20058
+  _QUERYGROUPSRESPONSE._serialized_start=20060
+  _QUERYGROUPSRESPONSE._serialized_end=20133
+  _BATCHRESULT._serialized_start=20135
+  _BATCHRESULT._serialized_end=20185
+  _SEARCHBATCHRESPONSE._serialized_start=20187
+  _SEARCHBATCHRESPONSE._serialized_end=20259
+  _SEARCHGROUPSRESPONSE._serialized_start=20261
+  _SEARCHGROUPSRESPONSE._serialized_end=20335
+  _COUNTRESPONSE._serialized_start=20337
+  _COUNTRESPONSE._serialized_end=20403
+  _SCROLLRESPONSE._serialized_start=20406
+  _SCROLLRESPONSE._serialized_end=20545
+  _COUNTRESULT._serialized_start=20547
+  _COUNTRESULT._serialized_end=20575
+  _RETRIEVEDPOINT._serialized_start=20578
+  _RETRIEVEDPOINT._serialized_end=20921
+  _RETRIEVEDPOINT_PAYLOADENTRY._serialized_start=3841
+  _RETRIEVEDPOINT_PAYLOADENTRY._serialized_end=3902
+  _GETRESPONSE._serialized_start=20923
+  _GETRESPONSE._serialized_end=20990
+  _RECOMMENDRESPONSE._serialized_start=20992
+  _RECOMMENDRESPONSE._serialized_end=21062
+  _RECOMMENDBATCHRESPONSE._serialized_start=21064
+  _RECOMMENDBATCHRESPONSE._serialized_end=21139
+  _DISCOVERRESPONSE._serialized_start=21141
+  _DISCOVERRESPONSE._serialized_end=21210
+  _DISCOVERBATCHRESPONSE._serialized_start=21212
+  _DISCOVERBATCHRESPONSE._serialized_end=21286
+  _RECOMMENDGROUPSRESPONSE._serialized_start=21288
+  _RECOMMENDGROUPSRESPONSE._serialized_end=21365
+  _UPDATEBATCHRESPONSE._serialized_start=21367
+  _UPDATEBATCHRESPONSE._serialized_end=21440
+  _FACETRESPONSE._serialized_start=21442
+  _FACETRESPONSE._serialized_end=21503
+  _SEARCHMATRIXPAIRSRESPONSE._serialized_start=21505
+  _SEARCHMATRIXPAIRSRESPONSE._serialized_end=21589
+  _SEARCHMATRIXOFFSETSRESPONSE._serialized_start=21591
+  _SEARCHMATRIXOFFSETSRESPONSE._serialized_end=21679
+  _FILTER._serialized_start=21682
+  _FILTER._serialized_end=21854
+  _MINSHOULD._serialized_start=21856
+  _MINSHOULD._serialized_end=21925
+  _CONDITION._serialized_start=21928
+  _CONDITION._serialized_end=22209
+  _ISEMPTYCONDITION._serialized_start=22211
+  _ISEMPTYCONDITION._serialized_end=22242
+  _ISNULLCONDITION._serialized_start=22244
+  _ISNULLCONDITION._serialized_end=22274
+  _HASIDCONDITION._serialized_start=22276
+  _HASIDCONDITION._serialized_end=22325
+  _NESTEDCONDITION._serialized_start=22327
+  _NESTEDCONDITION._serialized_end=22389
+  _FIELDCONDITION._serialized_start=22392
+  _FIELDCONDITION._serialized_end=22701
+  _MATCH._serialized_start=22704
+  _MATCH._serialized_end=22995
+  _REPEATEDSTRINGS._serialized_start=22997
+  _REPEATEDSTRINGS._serialized_end=23031
+  _REPEATEDINTEGERS._serialized_start=23033
+  _REPEATEDINTEGERS._serialized_end=23069
+  _RANGE._serialized_start=23071
+  _RANGE._serialized_end=23178
+  _DATETIMERANGE._serialized_start=23181
+  _DATETIMERANGE._serialized_end=23408
+  _GEOBOUNDINGBOX._serialized_start=23410
+  _GEOBOUNDINGBOX._serialized_end=23502
+  _GEORADIUS._serialized_start=23504
+  _GEORADIUS._serialized_end=23565
+  _GEOLINESTRING._serialized_start=23567
+  _GEOLINESTRING._serialized_end=23616
+  _GEOPOLYGON._serialized_start=23618
+  _GEOPOLYGON._serialized_end=23713
+  _VALUESCOUNT._serialized_start=23715
+  _VALUESCOUNT._serialized_end=23828
+  _POINTSSELECTOR._serialized_start=23830
+  _POINTSSELECTOR._serialized_end=23947
+  _POINTSIDSLIST._serialized_start=23949
+  _POINTSIDSLIST._serialized_end=23994
+  _POINTSTRUCT._serialized_start=23997
+  _POINTSTRUCT._serialized_end=24210
+  _POINTSTRUCT_PAYLOADENTRY._serialized_start=3841
+  _POINTSTRUCT_PAYLOADENTRY._serialized_end=3902
+  _GEOPOINT._serialized_start=24212
+  _GEOPOINT._serialized_end=24248
 # @@protoc_insertion_point(module_scope)
diff --git a/qdrant_client/proto/points.proto b/qdrant_client/proto/points.proto
index 03fa593c..618733d9 100644
--- a/qdrant_client/proto/points.proto
+++ b/qdrant_client/proto/points.proto
@@ -46,11 +46,48 @@ message SparseIndices {
   repeated uint32 data = 1;
 }
 
+message Document {
+  string text = 1; // Text of the document
+  optional string model = 3; // Model name
+  map<string, Value> options = 4; // Model options
+}
+
+message Image {
+  string image = 1; // Image data, either base64 encoded or URL
+  optional string model = 2; // Model name
+  map<string, Value> options = 3; // Model options
+}
+
+message InferenceObject {
+  Value object = 1; // Object to infer
+  optional string model = 2; // Model name
+  map<string, Value> options = 3; // Model options
+}
+
 // Legacy vector format, which determines the vector type by the configuration of its fields.
 message Vector {
-  repeated float data = 1; // Vector data (flatten for multi vectors)
-  optional SparseIndices indices = 2; // Sparse indices for sparse vectors
-  optional uint32 vectors_count = 3; // Number of vectors per multi vector
+  repeated float data = 1; // Vector data (flatten for multi vectors), deprecated
+  optional SparseIndices indices = 2; // Sparse indices for sparse vectors, deprecated
+  optional uint32 vectors_count = 3; // Number of vectors per multi vector, deprecated
+  oneof vector {
+    DenseVector dense = 101; // Dense vector
+    SparseVector sparse = 102; // Sparse vector
+    MultiDenseVector multi_dense = 103; // Multi dense vector
+    Document document = 104;
+    Image image = 105;
+    InferenceObject object = 106;
+  }
+}
+
+message VectorOutput {
+  repeated float data = 1; // Vector data (flatten for multi vectors), deprecated
+  optional SparseIndices indices = 2; // Sparse indices for sparse vectors, deprecated
+  optional uint32 vectors_count = 3; // Number of vectors per multi vector, deprecated
+  oneof vector {
+    DenseVector dense = 101; // Dense vector
+    SparseVector sparse = 102; // Sparse vector
+    MultiDenseVector multi_dense = 103; // Multi dense vector
+  }
 }
 
 message DenseVector {
@@ -73,6 +110,9 @@ message VectorInput {
     DenseVector dense = 2;
     SparseVector sparse = 3;
     MultiDenseVector multi_dense = 4;
+    Document document = 5;
+    Image image = 6;
+    InferenceObject object = 7;
   }
 }
 
@@ -214,6 +254,10 @@ message NamedVectors {
   map<string, Vector> vectors = 1;
 }
 
+message NamedVectorsOutput {
+  map<string, VectorOutput> vectors = 1;
+}
+
 message Vectors {
   oneof vectors_options {
     Vector vector = 1;
@@ -221,6 +265,13 @@ message Vectors {
   }
 }
 
+message VectorsOutput {
+  oneof vectors_options {
+    VectorOutput vector = 1;
+    NamedVectorsOutput vectors = 2;
+  }
+}
+
 message VectorsSelector {
   repeated string names = 1; // List of vectors to include into result
 }
@@ -737,7 +788,7 @@ message ScoredPoint {
   float score = 3; // Similarity score
   reserved 4; // deprecated "vector" field
   uint64 version = 5; // Last update operation applied to this point
-  optional Vectors vectors = 6; // Vectors to search
+  optional VectorsOutput vectors = 6; // Vectors to search
   optional ShardKey shard_key = 7; // Shard key
   optional OrderValue order_value = 8; // Order by value
 }
@@ -816,7 +867,7 @@ message RetrievedPoint {
   PointId id = 1;
   map<string, Value> payload = 2;
   reserved 3; // deprecated "vector" field
-  optional Vectors vectors = 4;
+  optional VectorsOutput vectors = 4;
   optional ShardKey shard_key = 5; // Shard key
   optional OrderValue order_value = 6; // Order-by value
 }
diff --git a/tests/conversions/fixtures.py b/tests/conversions/fixtures.py
index cfbae2a8..3d8a550c 100644
--- a/tests/conversions/fixtures.py
+++ b/tests/conversions/fixtures.py
@@ -5,7 +5,7 @@
 from google.protobuf.timestamp_pb2 import Timestamp
 
 from qdrant_client import grpc as grpc
-from qdrant_client.conversions.conversion import payload_to_grpc
+from qdrant_client.conversions.conversion import payload_to_grpc, json_to_value
 from qdrant_client.grpc import SparseIndices
 
 point_id = grpc.PointId(num=1)
@@ -291,16 +291,66 @@
 multi_vector = grpc.Vectors(
     vector=grpc.Vector(data=[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], vectors_count=2)
 )
+single_dense_vector = grpc.Vectors(
+    vector=grpc.Vector(dense=grpc.DenseVector(data=[1.0, 2.0, 3.0]))
+)
+single_sparse_vector = grpc.Vectors(
+    vectors=grpc.NamedVectors(
+        vectors={
+            "sparse": grpc.Vector(
+                sparse=grpc.SparseVector(values=[1.0, 2.0, 3.0], indices=[1, 2, 3])
+            )
+        }
+    )
+)
+single_multidense_vector = grpc.Vectors(
+    vector=grpc.Vector(
+        multi_dense=grpc.MultiDenseVector(vectors=[grpc.DenseVector(data=[1.0, 2.0, 3.0])])
+    )
+)
+document_with_options = grpc.Document(
+    text="random text", model="bert", options=payload_to_grpc({"a": 2, "b": [1, 2], "c": "useful"})
+)
+document_without_options = grpc.Document(text="random text", model="bert")
+document_only_text = grpc.Document(text="random text")
+image_with_options = grpc.Image(
+    image="base64", model="resnet", options=payload_to_grpc({"a": 2, "b": [1, 2], "c": "useful"})
+)
+image_without_options = grpc.Image(image="base64", model="resnet")
+image_only_image = grpc.Image(image="base64")
+inference_object_with_options = grpc.InferenceObject(
+    object=json_to_value("text"),
+    model="bert",
+    options=payload_to_grpc({"a": 2, "b": [1, 2], "c": "useful"}),
+)
+inference_object_without_options = grpc.InferenceObject(object=json_to_value("text"), model="bert")
+inference_object_only_object = grpc.InferenceObject(object=json_to_value("text"))
 order_value_int = grpc.OrderValue(int=42)
 order_value_float = grpc.OrderValue(float=42.0)
+single_vector_output = grpc.VectorsOutput(vector=grpc.VectorOutput(data=[1.0, 2.0, 3.0, 4.0]))
+multi_vector_output = grpc.VectorsOutput(
+    vector=grpc.VectorOutput(data=[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], vectors_count=2)
+)
+named_vectors_output = grpc.VectorsOutput(
+    vectors=grpc.NamedVectorsOutput(
+        vectors={
+            "sparse": grpc.VectorOutput(
+                data=[1.0, 2.0, 3.0, 4.0], indices=grpc.SparseIndices(data=[1, 2, 3, 4])
+            ),
+            "dense": grpc.VectorOutput(data=[1.0, 2.0, 3.0, 4.0]),
+            "multi": multi_vector_output.vector,
+        }
+    )
+)
+
 scored_point = grpc.ScoredPoint(
-    id=point_id, payload=payload, score=0.99, vectors=single_vector, version=12
+    id=point_id, payload=payload, score=0.99, vectors=single_vector_output, version=12
 )
 scored_point_order_value_int = grpc.ScoredPoint(
     id=point_id,
     payload=payload,
     score=0.99,
-    vectors=single_vector,
+    vectors=single_vector_output,
     version=12,
     order_value=order_value_int,
 )
@@ -308,15 +358,15 @@
     id=point_id,
     payload=payload,
     score=0.99,
-    vectors=single_vector,
+    vectors=named_vectors_output,
     version=12,
-    order_value=order_value_int,
+    order_value=order_value_float,
 )
 scored_point_multivector = grpc.ScoredPoint(
     id=point_id,
     payload=payload,
     score=0.99,
-    vectors=multi_vector,
+    vectors=multi_vector_output,
     version=12,
     order_value=order_value_float,
 )
@@ -678,6 +728,24 @@
     payload=payload_to_grpc({"my_payload": payload_value}),
 )
 
+point_struct_doc = grpc.PointStruct(
+    id=point_id_1,
+    vectors=grpc.Vectors(vector=grpc.Vector(document=document_with_options)),
+    payload=payload_to_grpc({"my_payload": payload_value}),
+)
+
+point_struct_image = grpc.PointStruct(
+    id=point_id_1,
+    vectors=grpc.Vectors(vector=grpc.Vector(image=image_with_options)),
+    payload=payload_to_grpc({"my_payload": payload_value}),
+)
+
+point_struct_obj = grpc.PointStruct(
+    id=point_id_1,
+    vectors=grpc.Vectors(vector=grpc.Vector(object=inference_object_with_options)),
+    payload=payload_to_grpc({"my_payload": payload_value}),
+)
+
 many_vectors = grpc.Vectors(
     vectors=grpc.NamedVectors(
         vectors={
@@ -687,6 +755,9 @@
                 data=[1.0, 2.0, -1.0, -0.2], indices=SparseIndices(data=[1, 2, 3])
             ),
             "multi": grpc.Vector(data=[1.0, 2.0, 3.0, 4.0], vectors_count=2),
+            "doc_raw": grpc.Vector(document=document_with_options),
+            "image_raw": grpc.Vector(image=image_with_options),
+            "obj_raw": grpc.Vector(object=inference_object_with_options),
         }
     )
 )
@@ -776,13 +847,13 @@
 retrieved_point = grpc.RetrievedPoint(
     id=point_id_1,
     payload=payload_to_grpc({"key": payload_value}),
-    vectors=single_vector,
+    vectors=single_vector_output,
 )
 
 retrieved_point_with_order_value = grpc.RetrievedPoint(
     id=point_id_1,
     payload=payload_to_grpc({"key": payload_value}),
-    vectors=single_vector,
+    vectors=single_vector_output,
     order_value=order_value_int,
 )
 
@@ -834,6 +905,7 @@
     vector_name="abc",
     with_vectors=grpc.WithVectorsSelector(include=grpc.VectorsSelector(names=["abc", "def"])),
     shard_key_selector=shard_key_selector,
+    sparse_indices=grpc.SparseIndices(data=[1, 2, 3]),
 )
 
 search_points_all_vectors = grpc.SearchPoints(
@@ -961,6 +1033,12 @@
     vectors=many_vectors,
 )
 
+point_vector_3 = grpc.PointVectors(id=point_id_1, vectors=single_dense_vector)
+
+point_vector_4 = grpc.PointVectors(id=point_id_1, vectors=single_sparse_vector)
+
+point_vector_5 = grpc.PointVectors(id=point_id_1, vectors=single_multidense_vector)
+
 group_id_1 = grpc.GroupId(unsigned_value=123)
 group_id_2 = grpc.GroupId(integer_value=-456)
 group_id_3 = grpc.GroupId(string_value="abc")
@@ -1172,10 +1250,37 @@
 vector_input_dense_2 = grpc.VectorInput(dense=dense_vector_2)
 vector_input_sparse = grpc.VectorInput(sparse=sparse_vector)
 vector_input_multi = grpc.VectorInput(multi_dense=multi_dense_vector)
+vector_input_doc_with_options = grpc.VectorInput(document=document_with_options)
+vector_input_doc_without_options = grpc.VectorInput(document=document_without_options)
+vector_input_doc_only_text = grpc.VectorInput(document=document_only_text)
+vector_input_image_with_options = grpc.VectorInput(image=image_with_options)
+vector_input_image_without_options = grpc.VectorInput(image=image_without_options)
+vector_input_image_only_image = grpc.VectorInput(image=image_only_image)
+vector_input_inference_with_options = grpc.VectorInput(object=inference_object_with_options)
+vector_input_inference_without_options = grpc.VectorInput(object=inference_object_without_options)
+vector_input_inference_only_object = grpc.VectorInput(object=inference_object_only_object)
+
 recommend_input = grpc.RecommendInput(
-    positive=[vector_input_dense],
+    positive=[
+        vector_input_dense,
+    ],
     negative=[vector_input_dense_2],
 )
+recommend_input_raw = grpc.RecommendInput(
+    positive=[
+        vector_input_doc_with_options,
+        vector_input_doc_without_options,
+        vector_input_doc_only_text,
+    ],
+    negative=[
+        vector_input_image_with_options,
+        vector_input_image_without_options,
+        vector_input_image_only_image,
+        vector_input_inference_with_options,
+        vector_input_inference_without_options,
+        vector_input_inference_only_object,
+    ],
+)
 recommend_input_strategy = grpc.RecommendInput(
     positive=[vector_input_id],
     strategy=recommend_strategy,
@@ -1190,6 +1295,7 @@
 query_nearest = grpc.Query(nearest=vector_input_sparse)
 query_recommend = grpc.Query(recommend=recommend_input)
 query_recommend_id = grpc.Query(recommend=recommend_input_strategy)
+query_recommend_raw = grpc.Query(recommend=recommend_input_raw)
 query_discover = grpc.Query(discover=discover_input)
 query_context = grpc.Query(context=context_input)
 query_order_by = grpc.Query(order_by=order_by)
@@ -1291,7 +1397,13 @@
     "IsEmptyCondition": [is_empty],
     "IsNullCondition": [is_null],
     "DeleteAlias": [delete_alias],
-    "PointStruct": [point_struct, point_struct_many],
+    "PointStruct": [
+        point_struct,
+        point_struct_many,
+        point_struct_doc,
+        point_struct_image,
+        point_struct_obj,
+    ],
     "CollectionDescription": [collection_description],
     "GeoPoint": [geo_point],
     "WalConfigDiff": [wal_config],
@@ -1354,7 +1466,13 @@
     "QuantizationConfig": [quantization_config, binary_quantization_config]
     + product_quantizations,
     "QuantizationSearchParams": [quantization_search_params],
-    "PointVectors": [point_vector_1, point_vector_2],
+    "PointVectors": [
+        point_vector_1,
+        point_vector_2,
+        # point_vector_3,  # todo: uncomment as of 1.14.0
+        # point_vector_4,  # todo: uncomment as of 1.14.0
+        # point_vector_5,  # todo: uncomment as of 1.14.0
+    ],
     "GroupId": [group_id_1, group_id_2, group_id_3],
     "GroupsResult": [group_result],
     "WithLookup": [with_lookup],
@@ -1389,6 +1507,7 @@
     "Query": [
         query_nearest,
         query_recommend,
+        query_recommend_raw,
         query_discover,
         query_context,
         query_order_by,
diff --git a/tests/conversions/test_validate_conversions.py b/tests/conversions/test_validate_conversions.py
index 352005d8..33b17909 100644
--- a/tests/conversions/test_validate_conversions.py
+++ b/tests/conversions/test_validate_conversions.py
@@ -377,3 +377,63 @@ def test_query_points():
     assert recovered.using == query_request.using
     assert recovered.with_payload == query_request.with_payload
     assert recovered.prefetch[0] == query_request.prefetch
+
+
+def test_extended_vectors():
+    # todo: test in fixtures.py from v1.14.0
+    import numpy as np
+
+    from qdrant_client import grpc, models
+    from qdrant_client.conversions.conversion import GrpcToRest
+
+    # region grpc.Vector
+    dense_vector = grpc.Vector(dense=grpc.DenseVector(data=[0.2, 0.3, 0.4]))
+    sparse_vector = grpc.Vector(
+        sparse=grpc.SparseVector(values=[0.1, 0.2, 0.3], indices=[1, 42, 240])
+    )
+    multi_dense_vector = grpc.Vector(
+        multi_dense=grpc.MultiDenseVector(
+            vectors=[
+                grpc.DenseVector(data=[0.1, 0.3, 0.5]),
+                grpc.DenseVector(data=[0.2, 0.4, 0.6]),
+            ]
+        )
+    )
+
+    rest_dense_vector = GrpcToRest.convert_vector(dense_vector)
+    rest_sparse_vector = GrpcToRest.convert_vector(sparse_vector)
+    rest_multi_dense_vector = GrpcToRest.convert_vector(multi_dense_vector)
+    assert np.allclose(rest_dense_vector, [0.2, 0.3, 0.4])
+    assert (
+        isinstance(rest_sparse_vector, models.SparseVector)
+        and np.allclose(rest_sparse_vector.values, [0.1, 0.2, 0.3])
+        and rest_sparse_vector.indices == [1, 42, 240]
+    )
+    assert np.allclose(rest_multi_dense_vector, np.array([[0.1, 0.3, 0.5], [0.2, 0.4, 0.6]]))
+    # endregion
+
+    # region grpc.VectorOutput
+    dense_vector_output = grpc.VectorOutput(dense=grpc.DenseVector(data=[0.2, 0.3, 0.4]))
+    sparse_vector_output = grpc.VectorOutput(
+        sparse=grpc.SparseVector(values=[0.1, 0.2, 0.3], indices=[1, 42, 240])
+    )
+    multi_dense_vector_output = grpc.VectorOutput(
+        multi_dense=grpc.MultiDenseVector(
+            vectors=[
+                grpc.DenseVector(data=[0.1, 0.3, 0.5]),
+                grpc.DenseVector(data=[0.2, 0.4, 0.6]),
+            ]
+        )
+    )
+
+    rest_dense_vector = GrpcToRest.convert_vector_output(dense_vector_output)
+    rest_sparse_vector = GrpcToRest.convert_vector_output(sparse_vector_output)
+    rest_multi_dense_vector = GrpcToRest.convert_vector_output(multi_dense_vector_output)
+    assert np.allclose(rest_dense_vector, [0.2, 0.3, 0.4])
+    assert (
+        isinstance(rest_sparse_vector, models.SparseVector)
+        and np.allclose(rest_sparse_vector.values, [0.1, 0.2, 0.3])
+        and rest_sparse_vector.indices == [1, 42, 240]
+    )
+    assert np.allclose(rest_multi_dense_vector, np.array([[0.1, 0.3, 0.5], [0.2, 0.4, 0.6]]))
+    # endregion
diff --git a/tests/coverage-test.sh b/tests/coverage-test.sh
index b23bf8d4..2b969408 100755
--- a/tests/coverage-test.sh
+++ b/tests/coverage-test.sh
@@ -3,4 +3,6 @@
 set -ex
 
 coverage run --include='qdrant_client/conversions/conversion.py' -m pytest tests/conversions/test_validate_conversions.py -vv -s
-coverage report --fail-under=97
+coverage report --fail-under=98
+
+#coverage html