feat(db): extraction des embeddings + mode WAL + config DB provider-agnostic

- Ajout de la table de relation 1-1 NoteEmbedding pour alléger Model Note
- Refactor complet des actions IA sémantique et Memory Echo pour utiliser la jointure
- Migration propre des 85 embeddings locaux existants
- Ajout PRAGMA journal_mode=WAL pour la concurrence au sein de lib/prisma
- Ajout npm run db:switch pour configuration auto SQLite / PostgreSQL
- Fix du compilateur Turbopack et Next-PWA

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

@@ -61,13 +61,13 @@ export class MemoryEchoService {
       where: {
         userId,
         isArchived: false,
-        embedding: { not: null } // Only notes with embeddings
+        noteEmbedding: { isNot: null } // Only notes with embeddings
       },
       select: {
         id: true,
         title: true,
         content: true,
-        embedding: true,
+        noteEmbedding: true,
         createdAt: true
       },
       orderBy: { createdAt: 'desc' }
@@ -81,7 +81,7 @@ export class MemoryEchoService {
     const notesWithEmbeddings = notes
       .map(note => ({
         ...note,
-        embedding: note.embedding ? JSON.parse(note.embedding) as number[] : null
+        embedding: note.noteEmbedding?.embedding ? JSON.parse(note.noteEmbedding.embedding) as number[] : null
       }))
       .filter(note => note.embedding && Array.isArray(note.embedding))
 
@@ -367,7 +367,7 @@ Explain in one brief sentence (max 15 words) why these notes are connected. Focu
         id: true,
         title: true,
         content: true,
-        embedding: true,
+        noteEmbedding: true,
         createdAt: true,
         userId: true
       }
@@ -377,7 +377,7 @@ Explain in one brief sentence (max 15 words) why these notes are connected. Focu
       return [] // Note not found or doesn't belong to user
     }
 
-    if (!targetNote.embedding) {
+    if (!targetNote.noteEmbedding) {
       return [] // Note has no embedding
     }
 
@@ -408,15 +408,15 @@ Explain in one brief sentence (max 15 words) why these notes are connected. Focu
     const otherNotes = await prisma.note.findMany({
       where: {
         userId,
-        id: { not: noteId }, // Exclude the target note
+        id: { not: noteId },
         isArchived: false,
-        embedding: { not: null }
+        noteEmbedding: { isNot: null }
       },
       select: {
         id: true,
         title: true,
         content: true,
-        embedding: true,
+        noteEmbedding: true,
         createdAt: true
       },
       orderBy: { createdAt: 'desc' }
@@ -427,7 +427,7 @@ Explain in one brief sentence (max 15 words) why these notes are connected. Focu
     }
 
     // Target note embedding (already native Json from PostgreSQL)
-    const targetEmbedding = targetNote.embedding ? JSON.parse(targetNote.embedding) as number[] : null
+    const targetEmbedding = targetNote.noteEmbedding?.embedding ? JSON.parse(targetNote.noteEmbedding.embedding) as number[] : null
     if (!targetEmbedding) return []
 
     // Check if user has demo mode enabled
@@ -443,9 +443,9 @@ Explain in one brief sentence (max 15 words) why these notes are connected. Focu
 
     // Compare target note with all other notes
     for (const otherNote of otherNotes) {
-      if (!otherNote.embedding) continue
+      if (!otherNote.noteEmbedding) continue
 
-      const otherEmbedding = otherNote.embedding ? JSON.parse(otherNote.embedding) as number[] : null
+      const otherEmbedding = otherNote.noteEmbedding?.embedding ? JSON.parse(otherNote.noteEmbedding.embedding) as number[] : null
       if (!otherEmbedding) continue
 
       // Check if this connection was dismissed

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

@@ -177,12 +177,12 @@ export class SemanticSearchService {
       const notes = await prisma.note.findMany({
         where: {
           ...(userId ? { userId } : {}),
-          ...(notebookId !== undefined ? { notebookId } : {}), // NEW: Notebook filter
-          embedding: { not: null }
+          ...(notebookId !== undefined ? { notebookId } : {}),
+          noteEmbedding: { isNot: null }
         },
         select: {
           id: true,
-          embedding: true
+          noteEmbedding: true
         }
       })
 
@@ -192,7 +192,7 @@ export class SemanticSearchService {
 
       // Calculate similarities for all notes
       const similarities = notes.map(note => {
-        const noteEmbedding = note.embedding ? JSON.parse(note.embedding) as number[] : []
+        const noteEmbedding = note.noteEmbedding?.embedding ? JSON.parse(note.noteEmbedding.embedding) as number[] : []
         const similarity = embeddingService.calculateCosineSimilarity(
           queryEmbedding,
           noteEmbedding
@@ -273,7 +273,7 @@ export class SemanticSearchService {
     try {
       const note = await prisma.note.findUnique({
         where: { id: noteId },
-        select: { content: true, embedding: true, lastAiAnalysis: true }
+        select: { content: true, noteEmbedding: true, lastAiAnalysis: true }
       })
 
       if (!note) {
@@ -283,7 +283,7 @@ export class SemanticSearchService {
       // Check if embedding needs regeneration
       const shouldRegenerate = embeddingService.shouldRegenerateEmbedding(
         note.content,
-        note.embedding as any,
+        note.noteEmbedding?.embedding as any,
         note.lastAiAnalysis
       )
 
@@ -295,10 +295,14 @@ export class SemanticSearchService {
       const { embedding } = await embeddingService.generateEmbedding(note.content)
 
       // Save to database
+      await prisma.noteEmbedding.upsert({
+        where: { noteId: noteId },
+        create: { noteId: noteId, embedding: embeddingService.serialize(embedding) as any },
+        update: { embedding: embeddingService.serialize(embedding) as any }
+      })
       await prisma.note.update({
         where: { id: noteId },
         data: {
-          embedding: embeddingService.serialize(embedding) as any,
           lastAiAnalysis: new Date()
         }
       })