add multi2multivec-weaviate vectorizer

Author: augustas1

weaviate/collections/classes/config_vectorizers.py

@@ -131,6 +131,7 @@ class Vectorizers(str, Enum):
     MULTI2VEC_COHERE = "multi2vec-cohere"
     MULTI2VEC_JINAAI = "multi2vec-jinaai"
     MULTI2MULTI_JINAAI = "multi2multivec-jinaai"
+    MULTI2MULTI_WEAVIATE = "multi2multivec-weaviate"
     MULTI2VEC_BIND = "multi2vec-bind"
     MULTI2VEC_PALM = "multi2vec-palm"  # change to google once 1.27 is the lowest supported version
     MULTI2VEC_VOYAGEAI = "multi2vec-voyageai"
@@ -507,6 +508,20 @@ def _to_dict(self) -> Dict[str, Any]:
         return ret_dict
 
 
+class _Multi2MultiVecWeaviateConfig(_Multi2VecBase):
+    vectorizer: Union[Vectorizers, _EnumLikeStr] = Field(
+        default=Vectorizers.MULTI2MULTI_WEAVIATE, frozen=True, exclude=True
+    )
+    baseURL: Optional[AnyHttpUrl]
+    model: Optional[str]
+
+    def _to_dict(self) -> Dict[str, Any]:
+        ret_dict = super()._to_dict()
+        if self.baseURL is not None:
+            ret_dict["baseURL"] = self.baseURL.unicode_string()
+        return ret_dict
+
+
 class _Multi2VecClipConfig(_Multi2VecBase):
     vectorizer: Union[Vectorizers, _EnumLikeStr] = Field(
         default=Vectorizers.MULTI2VEC_CLIP, frozen=True, exclude=True

weaviate/collections/classes/config_vectors.py

@@ -40,6 +40,7 @@
     _Img2VecNeuralConfig,
     _map_multi2vec_fields,
     _Multi2MultiVecJinaConfig,
+    _Multi2MultiVecWeaviateConfig,
     _Multi2VecAWSConfig,
     _Multi2VecBindConfig,
     _Multi2VecClipConfig,
@@ -287,6 +288,47 @@ def multi2vec_jinaai(
             ),
         )
 
+    @staticmethod
+    def multi2vec_weaviate(
+        *,
+        name: Optional[str] = None,
+        encoding: Optional[_MultiVectorEncodingConfigCreate] = None,
+        quantizer: Optional[_QuantizerConfigCreate] = None,
+        base_url: Optional[AnyHttpUrl] = None,
+        image_fields: Optional[Union[List[str], List[Multi2VecField]]] = None,
+        model: Optional[Union[JinaMultimodalModel, str]] = None,
+        multi_vector_config: Optional[_MultiVectorConfigCreate] = None,
+        vector_index_config: Optional[_VectorIndexConfigCreate] = None,
+    ) -> _VectorConfigCreate:
+        """Create a vector using the `multi2multivec-weaviate` module.
+
+        See the [documentation](TODO)
+        for detailed usage.
+
+        Args:
+            name: The name of the vector.
+            encoding: The type of multi-vector encoding to use in the vector index. Defaults to `None`, which uses the server-defined default.
+            quantizer: The quantizer to use for the vector index. If not provided, no quantization will be applied.
+            base_url: The base URL to use where API requests should go. Defaults to `None`, which uses the server-defined default.
+            image_fields: The image fields to use in vectorization.
+            model: The model to use. Defaults to `None`, which uses the server-defined default.
+            multi_vector_config: The configuration for the multi-vector index. Use `wvc.config.Configure.VectorIndex.MultiVector` to create a multi-vector configuration. None by default
+            vector_index_config: The configuration for Weaviate's vector index. Use `wvc.config.Configure.VectorIndex` to create a vector index configuration. None by default
+        """
+        return _VectorConfigCreate(
+            name=name,
+            vectorizer=_Multi2MultiVecWeaviateConfig(
+                baseURL=base_url,
+                model=model,
+                imageFields=_map_multi2vec_fields(image_fields),
+                # TODO: figure out how to workaround not supporting text fields
+                textFields=_map_multi2vec_fields(None),
+            ),
+            vector_index_config=_IndexWrappers.multi(
+                vector_index_config, quantizer, multi_vector_config, encoding
+            ),
+        )
+
 
 class _Vectors:
     @staticmethod