**feat: integrate optimized index functionality into BrainyData**

### Changes:
- Enhanced `BrainyData` class to support `HNSWIndexOptimized` alongside the standard HNSW index.
- Added a new configuration parameter `hnswOptimized` for enabling optimized indexing.
- Created utility methods for handling optimized index-specific functionalities such as memory usage tracking and disk-based index management.
- Updated vector addition, retrieval, and management methods to accommodate both standard and optimized indices.
- Introduced support for using pre-defined IDs during vector and relationship creation.
- Standardized metadata handling for error resilience and embedding integrations.
- Implemented a `getAllNouns` method to retrieve all indexed data.
- Added validation for vector dimensions during relationship creation to ensure consistency.
- Refactored method signatures to improve readability and alignment.

### Purpose:
Improved the BrainyData API to support optimized indexing functionality powered by `HNSWIndexOptimized`, enhancing scalability for large datasets while maintaining backward compatibility. Elevated overall code structure and usability.

src/hnsw/hnswIndex.ts

@@ -379,6 +379,34 @@ export class HNSWIndex {
     return this.distanceFunction
   }
 
+  /**
+   * Get the entry point ID
+   */
+  public getEntryPointId(): string | null {
+    return this.entryPointId
+  }
+
+  /**
+   * Get the maximum level
+   */
+  public getMaxLevel(): number {
+    return this.maxLevel
+  }
+
+  /**
+   * Get the dimension
+   */
+  public getDimension(): number | null {
+    return this.dimension
+  }
+
+  /**
+   * Get the configuration
+   */
+  public getConfig(): HNSWConfig {
+    return { ...this.config }
+  }
+
   /**
    * Search within a specific layer
    * Returns a map of noun IDs to distances, sorted by distance