Make vector test compatible with Meilisearch v1.6+

spec/meilisearch/index/search/vector_search_spec.rb

@@ -5,16 +5,27 @@
     enable_vector_store(true)
 
     documents = [
-      { objectId: 0, _vectors: [0, 0.8, -0.2], title: 'Across The Universe' },
-      { objectId: 1, _vectors: [1, -0.2, 0], title: 'All Things Must Pass' },
-      { objectId: 2, _vectors: [0.5, 3, 1], title: 'And Your Bird Can Sing' }
+      { objectId: 0, _vectors: {custom: [0, 0.8, -0.2] }, title: 'Across The Universe' },
+      { objectId: 1, _vectors: {custom: [1, -0.2, 0] }, title: 'All Things Must Pass' },
+      { objectId: 2, _vectors: {custom: [0.5, 3, 1] }, title: 'And Your Bird Can Sing' }
     ]
+    settings = {
+      embedders: {
+        custom: {
+          source: "userProvided",
+          dimensions: 3
+        }
+      }
+    }
 
     client.create_index('vector_test_search').await
     new_index = client.index('vector_test_search')
+    new_index.update_settings(settings).await
     new_index.add_documents(documents).await
 
-    expect(new_index.search(vector: [9, 9, 9])['hits']).to be_empty
+    expect(new_index.search("", { vector: [9, 9, 9], hybrid: { embedder: "custom", semanticRatio: 1.0}})['hits']).not_to be_empty
+    expect(new_index.search("", {vector: [9, 9, 9], hybrid: { embedder: "custom", semanticRatio: 1.0}})['semanticHitCount']).to be 3
+    expect(new_index.search("All Things Must Pass", {vector: [9, 9, 9], hybrid: { embedder: "custom", semanticRatio: 0.1}})['semanticHitCount']).to be 2
     expect(new_index.search('All Things Must Pass')['hits']).not_to be_empty
   end
 end