**feat(tests): add tests for TextEncoder, TensorFlow.js, and fallback mechanisms**

- Introduced `test-fallback-function.js` and `test-fallback-simple.js` to validate `executeInThread` fallback functionality with both named and anonymous compute-intensive functions.
- Added `test-tensorflow-textencoder.js` for TensorFlow.js and TextEncoder tests in a Node.js environment.
- Created `test-tensorflow-textencoder.html` for browser-based TensorFlow.js and TextEncoder tests.
- Implemented cross-environment test support in `cli-package/src/test-tensorflow-textencoder.ts` for CLI functionality.
- Enhanced `src/utils/embedding.ts`, `textEncoding.ts`, and `brainy-wrapper.js` to include updated global `TextEncoder` and `TextDecoder` utilities for compatibility and worker improvements.
- Standardized and expanded utility methods in `PlatformNode` for broader support, including `isFloat32Array` and `isTypedArray` checks.
- Updated Node.js requirement to `>= 24.4.0` across documentation and configuration files for compatibility improvements.

This update introduces comprehensive testing for fallback mechanisms, TensorFlow.js, and TextEncoder across multiple environments, ensuring robustness and compatibility.

cli-package/src/cli.ts

@@ -5,13 +5,8 @@
  * A command-line interface for interacting with the Brainy vector database
  */
 
-// Import the unified text encoding utilities
-// This needs to be done before importing @soulcraft/brainy
-import { applyTensorFlowPatch } from './utils/textEncoding.js'
-
-// Apply the TensorFlow.js platform patch if needed
+// Log environment information
 console.log('Brainy running in Node.js environment')
-applyTensorFlowPatch()
 
 import {
   BrainyData,
@@ -1360,6 +1355,21 @@ augmentCommand
 // Add the augment command to the program
 program.addCommand(augmentCommand)
 
+// Add a top-level test-tensorflow-textencoder command
+program
+  .command('test-tensorflow-textencoder')
+  .description('Test TensorFlow.js and TextEncoder functionality')
+  .action(async () => {
+    try {
+      // Import the test function from the test file
+      const { runTest } = await import('./test-tensorflow-textencoder.js')
+      await runTest()
+    } catch (error) {
+      console.error('Error:', (error as Error).message)
+      process.exit(1)
+    }
+  })
+
 // Add a top-level test-pipeline command that redirects to augment test-pipeline
 program
   .command('test-pipeline')