**feat: add importSparseData method to handle sparse data operations**

### Changes:
- Introduced the `importSparseData` method in `src/brainyData.ts` to allow importing sparse data into the database.
  - Supports embedding generation for nouns if vectors are missing.
  - Includes options to clear existing data during import.
  - Returns counts of imported nouns and verbs for tracking.

### Purpose:
Added a new method to manage sparse data imports, improving functionality and ensuring alignment with updated terminology across the application. This addition enhances flexibility in handling database operations.

src/brainyData.ts

@@ -1631,6 +1631,38 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
     }
   }
 
+  /**
+   * Import sparse data into the database
+   * @param data The sparse data to import
+   *             If vectors are not present for nouns, they will be created using the embedding function
+   * @param options Import options
+   * @returns Object containing counts of imported items
+   */
+  public async importSparseData(
+    data: {
+      nouns: VectorDocument<T>[]
+      verbs: GraphVerb[]
+      nounTypes?: string[]
+      verbTypes?: string[]
+      hnswIndex?: {
+        entryPointId: string | null
+        maxLevel: number
+        dimension: number | null
+        config: HNSWConfig
+        connections: Record<string, Record<string, string[]>>
+      }
+      version: string
+    },
+    options: {
+      clearExisting?: boolean
+    } = {}
+  ): Promise<{
+    nounsRestored: number
+    verbsRestored: number
+  }> {
+    return this.restore(data, options);
+  }
+
   /**
    * Restore data into the database from a previously backed up format
    * @param data The data to restore, in the format returned by backup()