Add factory and unit tests for multi2vecjina module

src/collections/config/types/vectorizer.ts

@@ -24,6 +24,7 @@ export type Vectorizer =
   | 'multi2vec-bind'
   | Multi2VecPalmVectorizer
   | 'multi2vec-google'
+  | 'multi2vec-jina'
   | 'multi2vec-voyageai'
   | 'ref2vec-centroid'
   | 'text2vec-aws'
@@ -170,7 +171,7 @@ export type Multi2VecGoogleConfig = {
   videoFields?: string[];
   /** The model ID in use. */
   modelId?: string;
-  /** The number of dimensions in use. */
+  /** The dimensionality of the vector once embedded. */
   dimensions?: number;
   /** Whether the collection name is vectorized. */
   vectorizeCollectionName?: boolean;
@@ -185,6 +186,32 @@ export type Multi2VecGoogleConfig = {
   };
 };
 
+/** The configuration for multi-media vectorization using the Jina module.
+ *
+ * See the [documentation](https://weaviate.io/developers/weaviate/model-providers/jinaai/embeddings-multimodal) for detailed usage.
+ */
+export type Multi2VecJinaConfig = {
+  /** The base URL to use where API requests should go. */
+  baseURL?: string;
+  /** The dimensionality of the vector once embedded. */
+  dimensions?: number;
+  /** The image fields used when vectorizing. */
+  imageFields?: string[];
+  /** The model to use. */
+  model?: string;
+  /** The text fields used when vectorizing. */
+  textFields?: string[];
+  /** Whether the collection name is vectorized. */
+  vectorizeCollectionName?: boolean;
+  /** The weights of the fields used for vectorization. */
+  weights?: {
+    /** The weights of the image fields. */
+    imageFields?: number[];
+    /** The weights of the text fields. */
+    textFields?: number[];
+  };
+};
+
 /** The configuration for multi-media vectorization using the VoyageAI module.
  *
  * See the [documentation](https://weaviate.io/developers/weaviate/model-providers/transformers/embeddings-multimodal) for detailed usage.
@@ -359,7 +386,7 @@ export type Text2VecOllamaConfig = {
 export type Text2VecOpenAIConfig = {
   /** The base URL to use where API requests should go. */
   baseURL?: string;
-  /** The dimensions to use. */
+  /** The dimensionality of the vector once embedded. */
   dimensions?: number;
   /** The model to use. */
   model?: 'text-embedding-3-small' | 'text-embedding-3-large' | 'text-embedding-ada-002' | string;
@@ -434,7 +461,7 @@ export type Text2VecVoyageAIConfig = {
 export type Text2VecWeaviateConfig = {
   /** The base URL to use where API requests should go. */
   baseURL?: string;
-  /** The dimensions to use. */
+  /** The dimensionality of the vector once embedded. */
   dimensions?: number;
   /** The model to use. */
   model?: 'Snowflake/snowflake-arctic-embed-m-v1.5' | string;
@@ -478,6 +505,8 @@ export type VectorizerConfigType<V> = V extends 'img2vec-neural'
   ? Multi2VecBindConfig | undefined
   : V extends 'multi2vec-google'
   ? Multi2VecGoogleConfig
+  : V extends 'multi2vec-jina'
+  ? Multi2VecJinaConfig | undefined
   : V extends Multi2VecPalmVectorizer
   ? Multi2VecPalmConfig
   : V extends 'multi2vec-voyageai'

src/collections/configure/types/vectorizer.ts

@@ -127,6 +127,19 @@ export type Multi2VecCohereConfigCreate = {
   vectorizeCollectionName?: boolean;
 };
 
+export type Multi2VecJinaConfigCreate = {
+  /** The base URL to use where API requests should go. */
+  baseURL?: string;
+  /** The dimensionality of the vector once embedded. */
+  dimensions?: number;
+  /** The image fields to use in vectorization. Can be string of `Multi2VecField` type. If string, weight 0 will be assumed. */
+  imageFields?: string[] | Multi2VecField[];
+  /** The text fields to use in vectorization. Can be string of `Multi2VecField` type. If string, weight 0 will be assumed. */
+  textFields?: string[] | Multi2VecField[];
+  /** Whether to vectorize the collection name. */
+  vectorizeCollectionName?: boolean;
+};
+
 /** @deprecated Use `Multi2VecGoogleConfigCreate` instead.*/
 export type Multi2VecPalmConfigCreate = Multi2VecGoogleConfigCreate;
 
@@ -144,7 +157,7 @@ export type Multi2VecGoogleConfigCreate = {
   videoFields?: string[] | Multi2VecField[];
   /** The model ID to use. */
   modelId?: string;
-  /** The number of dimensions to use. */
+  /** The dimensionality of the vector once embedded. */
   dimensions?: number;
   /** Whether to vectorize the collection name. */
   vectorizeCollectionName?: boolean;
@@ -200,6 +213,8 @@ export type VectorizerConfigCreateType<V> = V extends 'img2vec-neural'
   ? Multi2VecCohereConfigCreate | undefined
   : V extends 'multi2vec-bind'
   ? Multi2VecBindConfigCreate | undefined
+  : V extends 'multi2vec-jina'
+  ? Multi2VecJinaConfigCreate | undefined
   : V extends 'multi2vec-palm'
   ? Multi2VecPalmConfigCreate
   : V extends 'multi2vec-google'

src/collections/configure/unit.test.ts

@@ -621,7 +621,53 @@ describe('Unit testing of the vectorizer factory class', () => {
       },
     });
   });
-
+  it('should create the correct Multi2VecJinaConfig type with defaults', () => {
+    const config = configure.vectorizer.multi2VecJina();
+    expect(config).toEqual<VectorConfigCreate<never, undefined, 'hnsw', 'multi2vec-jina'>>({
+      name: undefined,
+      vectorIndex: {
+        name: 'hnsw',
+        config: undefined,
+      },
+      vectorizer: {
+        name: 'multi2vec-jina',
+        config: undefined,
+      },
+    });
+  });
+  it('should create the correct Multi2VecJinaConfig type with all values and weights', () => {
+    const config = configure.vectorizer.multi2VecJina({
+      name: 'test',
+      imageFields: [
+        { name: 'field1', weight: 0.1 },
+        { name: 'field2', weight: 0.2 },
+      ],
+      textFields: [
+        { name: 'field3', weight: 0.3 },
+        { name: 'field4', weight: 0.4 },
+      ],
+      vectorizeCollectionName: true,
+    });
+    expect(config).toEqual<VectorConfigCreate<never, 'test', 'hnsw', 'multi2vec-jina'>>({
+      name: 'test',
+      vectorIndex: {
+        name: 'hnsw',
+        config: undefined,
+      },
+      vectorizer: {
+        name: 'multi2vec-jina',
+        config: {
+          imageFields: ['field1', 'field2'],
+          textFields: ['field3', 'field4'],
+          vectorizeCollectionName: true,
+          weights: {
+            imageFields: [0.1, 0.2],
+            textFields: [0.3, 0.4],
+          },
+        },
+      },
+    });
+  });
   it('should create the correct Multi2VecPalmConfig type using deprecated method with defaults', () => {
     const config = configure.vectorizer.multi2VecPalm({
       projectId: 'project-id',

src/collections/configure/vectorizer.ts

@@ -196,6 +196,39 @@ export const vectorizer = {
       },
     });
   },
+  /**
+   * Create a `VectorConfigCreate` object with the vectorizer set to `'multi2vec-jina'`.
+   *
+   * See the [documentation](https://weaviate.io/developers/weaviate/model-providers/jinaai/embeddings-multimodal) for detailed usage.
+   *
+   * @param {ConfigureNonTextVectorizerOptions<N, I, 'multi2vec-jina'>} [opts] The configuration options for the `multi2vec-jina` vectorizer.
+   * @returns {VectorConfigCreate<PrimitiveKeys<T>[], N, I, 'multi2vec-jina'>} The configuration object.
+   */
+  multi2VecJina: <N extends string | undefined = undefined, I extends VectorIndexType = 'hnsw'>(
+    opts?: ConfigureNonTextVectorizerOptions<N, I, 'multi2vec-jina'>
+  ): VectorConfigCreate<never, N, I, 'multi2vec-jina'> => {
+    const { name, vectorIndexConfig, ...config } = opts || {};
+    const imageFields = config.imageFields?.map(mapMulti2VecField);
+    const textFields = config.textFields?.map(mapMulti2VecField);
+    let weights: Multi2VecBindConfig['weights'] = {};
+    weights = formatMulti2VecFields(weights, 'imageFields', imageFields);
+    weights = formatMulti2VecFields(weights, 'textFields', textFields);
+    return makeVectorizer(name, {
+      vectorIndexConfig,
+      vectorizerConfig: {
+        name: 'multi2vec-jina',
+        config:
+          Object.keys(config).length === 0
+            ? undefined
+            : {
+                ...config,
+                imageFields: imageFields?.map((f) => f.name),
+                textFields: textFields?.map((f) => f.name),
+                weights: Object.keys(weights).length === 0 ? undefined : weights,
+              },
+      },
+    });
+  },
   /**
    * Create a `VectorConfigCreate` object with the vectorizer set to `'multi2vec-palm'`.
    *