chore: snapshot before performance optimization

keep-notes/lib/ai/services/auto-label-creation.service.ts

@@ -454,7 +454,7 @@ Deine Antwort (nur JSON):
         let names: string[] = []
         if (note.labels) {
           try {
-            const parsed = JSON.parse(note.labels) as unknown
+            const parsed = note.labels as unknown
             names = Array.isArray(parsed)
               ? parsed.filter((n): n is string => typeof n === 'string' && n.trim().length > 0)
               : []
@@ -471,7 +471,7 @@ Deine Antwort (nur JSON):
         await prisma.note.update({
           where: { id: noteId },
           data: {
-            labels: JSON.stringify(names),
+            labels: names as any,
             labelRelations: {
               connect: { id: label.id },
             },

keep-notes/lib/ai/services/embedding.service.ts

@@ -175,26 +175,17 @@ export class EmbeddingService {
   }
 
   /**
-   * Serialize embedding to JSON-safe format (for storage)
+   * Pass-through — embeddings are stored as native JSONB in PostgreSQL
    */
-  serialize(embedding: number[]): string {
-    return JSON.stringify(embedding)
+  serialize(embedding: number[]): number[] {
+    return embedding
   }
 
   /**
-   * Deserialize embedding from JSON string
+   * Pass-through — embeddings come back already parsed from PostgreSQL
    */
-  deserialize(jsonString: string): number[] {
-    try {
-      const parsed = JSON.parse(jsonString)
-      if (!Array.isArray(parsed)) {
-        throw new Error('Invalid embedding format')
-      }
-      return parsed
-    } catch (error) {
-      console.error('Error deserializing embedding:', error)
-      throw new Error('Failed to deserialize embedding')
-    }
+  deserialize(embedding: number[]): number[] {
+    return embedding
   }
 
   /**

keep-notes/lib/ai/services/memory-echo.service.ts

@@ -77,11 +77,11 @@ export class MemoryEchoService {
       return [] // Need at least 2 notes to find connections
     }
 
-    // Parse embeddings
+    // Parse embeddings (already native Json from PostgreSQL)
     const notesWithEmbeddings = notes
       .map(note => ({
         ...note,
-        embedding: note.embedding ? JSON.parse(note.embedding) : null
+        embedding: note.embedding ? JSON.parse(note.embedding) as number[] : null
       }))
       .filter(note => note.embedding && Array.isArray(note.embedding))
 
@@ -108,7 +108,7 @@ export class MemoryEchoService {
         }
 
         // Calculate cosine similarity
-        const similarity = cosineSimilarity(note1.embedding, note2.embedding)
+        const similarity = cosineSimilarity(note1.embedding!, note2.embedding!)
 
         // Similarity threshold for meaningful connections
         if (similarity >= similarityThreshold) {
@@ -348,9 +348,9 @@ Explain in one brief sentence (max 15 words) why these notes are connected. Focu
           feedbackType: feedback,
           feature: 'memory_echo',
           originalContent: JSON.stringify({ insightId }),
-          metadata: JSON.stringify({
+          metadata: {
             timestamp: new Date().toISOString()
-          })
+          } as any
         }
       })
     }
@@ -426,8 +426,9 @@ Explain in one brief sentence (max 15 words) why these notes are connected. Focu
       return []
     }
 
-    // Parse target note embedding
-    const targetEmbedding = JSON.parse(targetNote.embedding)
+    // Target note embedding (already native Json from PostgreSQL)
+    const targetEmbedding = targetNote.embedding ? JSON.parse(targetNote.embedding) as number[] : null
+    if (!targetEmbedding) return []
 
     // Check if user has demo mode enabled
     const settings = await prisma.userAISettings.findUnique({
@@ -444,7 +445,8 @@ Explain in one brief sentence (max 15 words) why these notes are connected. Focu
     for (const otherNote of otherNotes) {
       if (!otherNote.embedding) continue
 
-      const otherEmbedding = JSON.parse(otherNote.embedding)
+      const otherEmbedding = otherNote.embedding ? JSON.parse(otherNote.embedding) as number[] : null
+      if (!otherEmbedding) continue
 
       // Check if this connection was dismissed
       const pairKey1 = `${targetNote.id}-${otherNote.id}`

keep-notes/lib/ai/services/semantic-search.service.ts

@@ -192,7 +192,7 @@ export class SemanticSearchService {
 
       // Calculate similarities for all notes
       const similarities = notes.map(note => {
-        const noteEmbedding = embeddingService.deserialize(note.embedding || '[]')
+        const noteEmbedding = note.embedding ? JSON.parse(note.embedding) as number[] : []
         const similarity = embeddingService.calculateCosineSimilarity(
           queryEmbedding,
           noteEmbedding
@@ -283,7 +283,7 @@ export class SemanticSearchService {
       // Check if embedding needs regeneration
       const shouldRegenerate = embeddingService.shouldRegenerateEmbedding(
         note.content,
-        note.embedding,
+        note.embedding as any,
         note.lastAiAnalysis
       )
 
@@ -298,7 +298,7 @@ export class SemanticSearchService {
       await prisma.note.update({
         where: { id: noteId },
         data: {
-          embedding: embeddingService.serialize(embedding),
+          embedding: embeddingService.serialize(embedding) as any,
           lastAiAnalysis: new Date()
         }
       })