**feat: improve TensorFlow.js compatibility and remove unnecessary patches**

- Removed outdated Node.js v24 compatibility patches for `TextEncoder` and `TextDecoder` in `cli-wrapper.js` and other modules since TensorFlow.js now supports Node.js v24+ natively.
- Introduced a utility module `src/utils/tensorflowUtils.ts` for TensorFlow.js compatibility, defining global `PlatformNode` and related utilities.
- Enhanced `fileSystemStorage.ts` with improved Node.js module loading mechanisms for better compatibility across environments.
- Simplified dependency requirements by reducing the minimum Node.js version to `>=23.0.0`.
- Updated `package.json`, `cli-package/package.json`, and `README.md` versions to `0.9.25`.
- Harmonized `cli-package` and main package dependencies to ensure version alignment.
- Improved global compatibility with TensorFlow.js in mixed Node.js environments.

This update modernizes TensorFlow.js integration, reduces maintenance efforts, and aligns compatibility with current Node.js and TensorFlow.js capabilities.

src/utils/embedding.ts

@@ -20,6 +20,23 @@ export class UniversalSentenceEncoder implements EmbeddingModel {
   private use: any = null
   private backend: string = 'cpu' // Default to CPU
 
+  /**
+   * Add polyfills and patches for TensorFlow.js compatibility
+   * This addresses issues with TensorFlow.js in Node.js environments
+   */
+  private addNodeCompatibilityPolyfills(): void {
+    // Only apply in Node.js environment
+    if (
+      typeof process === 'undefined' ||
+      !process.versions ||
+      !process.versions.node
+    ) {
+      return
+    }
+
+    // No compatibility patches needed - TensorFlow.js now works correctly with Node.js 24+
+  }
+
   /**
    * Initialize the embedding model
    */
@@ -42,6 +59,9 @@ export class UniversalSentenceEncoder implements EmbeddingModel {
         originalWarn(message, ...optionalParams)
       }
 
+      // Add polyfills for TensorFlow.js compatibility
+      this.addNodeCompatibilityPolyfills()
+
       // TensorFlow.js will use its default EPSILON value
 
       // Dynamically import TensorFlow.js core module and backends