feat: voyage-multimodal-3.5 (video!)

docs/weaviate/model-providers/_includes/provider.vectorizer.py

@@ -1207,18 +1207,22 @@
     properties=[
         Property(name="title", data_type=DataType.TEXT),
         Property(name="poster", data_type=DataType.BLOB),
+        Property(name="trailer", data_type=DataType.BLOB),
     ],
     vector_config=[
         Configure.Vectors.multi2vec_voyageai(
             name="title_vector",
-            model="voyage-multimodal-3",
-            # Define the fields to be used for the vectorization - using image_fields, text_fields
+            model="voyage-multimodal-3.5",
+            # Define the fields to be used for the vectorization - using image_fields, text_fields, video_fields
             image_fields=[
-                Multi2VecField(name="poster", weight=0.9)
+                Multi2VecField(name="poster", weight=0.7)
             ],
             text_fields=[
                 Multi2VecField(name="title", weight=0.1)
             ],
+            video_fields=[
+                Multi2VecField(name="trailer", weight=0.2)
+            ],
         )
     ],
     # highlight-end
@@ -1238,19 +1242,23 @@
     properties=[
         Property(name="title", data_type=DataType.TEXT),
         Property(name="poster", data_type=DataType.BLOB),
+        Property(name="trailer", data_type=DataType.BLOB),
     ],
     vector_config=[
         Configure.Vectors.multi2vec_voyageai(
             name="title_vector",
-            # Define the fields to be used for the vectorization - using image_fields, text_fields
+            # Define the fields to be used for the vectorization - using image_fields, text_fields, video_fields
             image_fields=[
-                Multi2VecField(name="poster", weight=0.9)
+                Multi2VecField(name="poster", weight=0.7)
             ],
             text_fields=[
                 Multi2VecField(name="title", weight=0.1)
             ],
+            video_fields=[
+                Multi2VecField(name="trailer", weight=0.2)
+            ],
             # Further options
-            # model="voyage-multimodal-3",
+            # model="voyage-multimodal-3.5",
             # truncation="true",  # or "false",
             # output_encoding="base64", # or "null"
             # base_url="<custom_voyageai_url>"

docs/weaviate/model-providers/_includes/provider.vectorizer.ts

@@ -1350,20 +1350,28 @@ await client.collections.create({
       name: 'poster',
       dataType: weaviate.configure.dataType.BLOB,
     },
+    {
+      name: 'trailer',
+      dataType: weaviate.configure.dataType.BLOB,
+    },
   ],
   vectorizers: [
     weaviate.configure.vectors.multi2VecVoyageAI({
       name: "title_vector",
-      // Define the fields to be used for the vectorization - using imageFields, textFields
+      // Define the fields to be used for the vectorization - using imageFields, textFields, videoFields
       imageFields: [{
         name: "poster",
-        weight: 0.9
+        weight: 0.7
       }],
       textFields: [{
         name: "title",
         weight: 0.1
       }],
-      model: "voyage-multimodal-3",
+      videoFields: [{
+        name: "trailer",
+        weight: 0.2
+      }],
+      model: "voyage-multimodal-3.5",
     })],
     // highlight-end
     // Additional parameters not shown
@@ -1387,21 +1395,29 @@ await client.collections.create({
       name: 'poster',
       dataType: weaviate.configure.dataType.BLOB,
     },
+    {
+      name: 'trailer',
+      dataType: weaviate.configure.dataType.BLOB,
+    },
   ],
   vectorizers: [
     weaviate.configure.vectors.multi2VecVoyageAI({
       name: "title_vector",
-      // Define the fields to be used for the vectorization - using imageFields, textFields
+      // Define the fields to be used for the vectorization - using imageFields, textFields, videoFields
       imageFields: [{
         name: "poster",
-        weight: 0.9
+        weight: 0.7
       }],
       textFields: [{
         name: "title",
         weight: 0.1
       }],
+      videoFields: [{
+        name: "trailer",
+        weight: 0.2
+      }],
       // Further options
-      model: "voyage-multimodal-3",
+      model: "voyage-multimodal-3.5",
       truncate: true,  // or false
       // outputEncoding: "base64"  // or "null"
       // baseURL: "<custom_voyageai_url>"

docs/weaviate/model-providers/voyageai/embeddings-multimodal.md

@@ -312,6 +312,11 @@ The query below returns the `n` most similar objects to the input image from the
 ### Available models
 
 - `voyage-multimodal-3` (Default)
+- `voyage-multimodal-3.5`
+
+:::info Video support
+The `voyage-multimodal-3.5` model supports video embeddings in addition to text and images. Configure `video_fields` (Python) or `videoFields` (TypeScript) to enable video vectorization.
+:::
 
 ## Further resources