From bf02bee9fa35896447c0a53257ff63d0105113ab Mon Sep 17 00:00:00 2001
From: Christopher Krah <48338417+chrikrah@users.noreply.github.com>
Date: Thu, 29 Oct 2026 17:20:44 +0100
Subject: [PATCH] fix(config): map skip_vectorization for properties created
 with vector_config

`_CollectionConfigCreate.__add_props` read the vectorizers only from the
deprecated `vectorizer_config`. A collection created with
`vector_config=Configure.Vectors...` passed `None` to `Property._to_dict`,
so `skip_vectorization` and `vectorize_property_name` went out as raw
snake_case keys that the server ignores, and the property was vectorized
anyway. Collect the vectorizers from `vector_config` too, so the property
gets a `moduleConfig` entry per vectorizer, as it does for named vectors.

Signed-off-by: Christopher Krah <48338417+chrikrah@users.noreply.github.com>
---
 test/collection/test_config.py         | 30 ++++++++++++++++++++++++
 weaviate/collections/classes/config.py | 32 +++++++++++++++-----------
 2 files changed, 49 insertions(+), 13 deletions(-)

diff --git a/test/collection/test_config.py b/test/collection/test_config.py
index 360a0d138..996bdc4cd 100644
--- a/test/collection/test_config.py
+++ b/test/collection/test_config.py
@@ -874,6 +874,36 @@ def test_config_with_vectorizer_and_properties(
     }
 
 
+def test_config_with_vector_config_and_properties() -> None:
+    config = _CollectionConfigCreate(
+        name="test",
+        properties=[
+            Property(
+                name="text",
+                data_type=DataType.TEXT,
+                skip_vectorization=True,
+                vectorize_property_name=False,
+            )
+        ],
+        vector_config=[
+            Configure.Vectors.text2vec_transformers(name="first"),
+            Configure.Vectors.self_provided(name="second"),
+        ],
+    )
+    assert config._to_dict()["properties"] == [
+        {
+            "dataType": ["text"],
+            "name": "text",
+            "moduleConfig": {
+                "text2vec-transformers": {
+                    "skip": True,
+                    "vectorizePropertyName": False,
+                }
+            },
+        }
+    ]
+
+
 TEST_CONFIG_WITH_GENERATIVE = [
     (
         Configure.Generative.openai(),
diff --git a/weaviate/collections/classes/config.py b/weaviate/collections/classes/config.py
index 81456001f..9bc440712 100644
--- a/weaviate/collections/classes/config.py
+++ b/weaviate/collections/classes/config.py
@@ -2782,22 +2782,28 @@ def __add_props(
     ) -> None:
         if props is None:
             return
+        vectorizers: Optional[List[Union[Vectorizers, _EnumLikeStr]]] = (
+            [self.vectorizerConfig.vectorizer]
+            if isinstance(self.vectorizerConfig, _VectorizerConfigCreate)
+            else (
+                None
+                if self.vectorizerConfig is None
+                else [conf.vectorizer.vectorizer for conf in self.vectorizerConfig]
+            )
+        )
+        if self.vectorConfig is not None:
+            vector_configs = (
+                [self.vectorConfig]
+                if isinstance(self.vectorConfig, VectorConfigCreate)
+                else self.vectorConfig
+            )
+            vectorizers = (vectorizers or []) + [
+                conf.vectorizer.vectorizer for conf in vector_configs
+            ]
         existing_props = ret_dict.get("properties", [])
         existing_props.extend(
             [
-                (
-                    prop._to_dict(
-                        [self.vectorizerConfig.vectorizer]
-                        if isinstance(self.vectorizerConfig, _VectorizerConfigCreate)
-                        else (
-                            None
-                            if self.vectorizerConfig is None
-                            else [conf.vectorizer.vectorizer for conf in self.vectorizerConfig]
-                        )
-                    )
-                    if isinstance(prop, Property)
-                    else prop._to_dict()
-                )
+                prop._to_dict(vectorizers) if isinstance(prop, Property) else prop._to_dict()
                 for prop in props
             ]
         )