test: add named vector test case

Author: bevzzz

src/collections/integration.test.ts

@@ -657,21 +657,41 @@ describe('Testing of the collections.create method', () => {
     ).toEqual(true);
   });
 
-  requireAtLeast(1, 32, 0).it('should be able to create a collection with uncompressed vectors', async () => {
-    const collectionName = 'TestCollectionUncompressedVector';
+  requireAtLeast(1, 32, 0).describe('uncompressed vectors', () => {
+    it('should be able to create a collection with uncompressed default vector', async () => {
+      const collectionName = 'TestCollectionUncompressedVector';
 
-    await contextionary.collections.create({
-      name: collectionName,
-      vectorizers: weaviate.configure.vectors.text2VecContextionary({
-        vectorIndexConfig: weaviate.configure.vectorIndex.hnsw({
-          quantizer: weaviate.configure.vectorIndex.quantizer.none(),
+      await contextionary.collections.create({
+        name: collectionName,
+        vectorizers: weaviate.configure.vectors.text2VecContextionary({
+          vectorIndexConfig: weaviate.configure.vectorIndex.hnsw({
+            quantizer: weaviate.configure.vectorIndex.quantizer.none(),
+          }),
         }),
-      }),
+      });
+
+      const collection = await contextionary.collections.export(collectionName);
+
+      expect((collection.vectorizers.default.indexConfig as VectorIndexConfigHNSW).quantizer).toBeUndefined();
     });
 
-    const collection = await contextionary.collections.export(collectionName);
+    it('should be able to create a collection with uncompressed named vector', async () => {
+      const collectionName = 'TestCollectionUncompressedVectorNamed';
 
-    expect((collection.vectorizers.default.indexConfig as VectorIndexConfigHNSW).quantizer).toBeUndefined();
+      await contextionary.collections.create({
+        name: collectionName,
+        vectorizers: weaviate.configure.vectors.text2VecContextionary({
+          name: 'custom_vec',
+          vectorIndexConfig: weaviate.configure.vectorIndex.hnsw({
+            quantizer: weaviate.configure.vectorIndex.quantizer.none(),
+          }),
+        }),
+      });
+
+      const collection = await contextionary.collections.export(collectionName);
+
+      expect((collection.vectorizers['custom_vec'].indexConfig as VectorIndexConfigHNSW).quantizer).toBeUndefined();
+    });
   });
 
   it('should be able to create a collection with an openai vectorizer with configure.vectors', async () => {