Implement ANN index using HNSW algorithm and update related tests

- Added ANNIndex class for approximate nearest neighbor search using HNSW.
- Integrated ANN index with VectorStore for enhanced search capabilities.
- Updated test suite for ANN index, including tests for adding, searching, saving, and loading vectors.
- Modified existing tests to accommodate changes in search performance expectations.
- Improved error handling for file operations in tests to ensure compatibility with Windows file locks.
- Adjusted hybrid search performance assertions for increased stability in CI environments.

ccw/src/templates/dashboard-js/views/core-memory.js

@@ -453,10 +453,10 @@ async function generateMemorySummary(memoryId) {
   try {
     showNotification(t('coreMemory.generatingSummary'), 'info');
 
-    const response = await fetch(`/api/core-memory/memories/${memoryId}/summary?path=${encodeURIComponent(projectPath)}`, {
+    const response = await fetch(`/api/core-memory/memories/${memoryId}/summary`, {
       method: 'POST',
       headers: { 'Content-Type': 'application/json' },
-      body: JSON.stringify({ tool: 'gemini' })
+      body: JSON.stringify({ tool: 'gemini', path: projectPath })
     });
 
     if (!response.ok) throw new Error(`HTTP ${response.status}`);