docs: comprehensive documentation for NotebookLM-RAG integration

Update documentation to reflect new integration features:

README.md:
- Add 'Integrazione NotebookLM + RAG' section after Overview
- Update DocuMente component section with new endpoints
- Add notebooklm_sync.py and notebooklm_indexer.py to architecture
- Add integration API examples
- Add link to docs/integration.md

SKILL.md:
- Add RAG Integration to Capabilities table
- Update Autonomy Rules with new endpoints
- Add RAG Integration section to Quick Reference
- Add Sprint 2 changelog with integration features
- Update Skill Version to 1.2.0

docs/integration.md (NEW):
- Complete integration guide with architecture diagram
- API reference for all sync and query endpoints
- Usage examples and workflows
- Best practices and troubleshooting
- Performance considerations and limitations
- Roadmap for future features

All documentation now accurately reflects the unified
NotebookLM + RAG agent capabilities.

SKILL.md

@@ -31,6 +31,7 @@ Interfaccia agentica per Google NotebookLM tramite API REST e webhook. Automatiz
 | **Generazione** | Audio (podcast), Video, Slide, Infografiche, Quiz, Flashcard, Report, Mappe mentali, Tabelle |
 | **Artifacts** | Monitorare stato, scaricare in vari formati |
 | **Webhook** | Registrare endpoint, ricevere notifiche eventi |
+| **RAG Integration** | Sincronizzare notebook, ricerche semantiche, query multi-notebook |
 
 ---
 
@@ -73,6 +74,10 @@ http://localhost:8000/health
 | `GET /api/v1/notebooks/{id}/chat/history` | Read-only |
 | `GET /api/v1/notebooks/{id}/artifacts` | Read-only |
 | `GET /api/v1/notebooks/{id}/artifacts/{id}/status` | Read-only |
+| `GET /api/v1/notebooklm/indexed` | Read-only |
+| `GET /api/v1/notebooklm/sync/{id}/status` | Read-only |
+| `POST /api/v1/query` | Read-only (ricerca) |
+| `POST /api/v1/query/notebooks` | Read-only (ricerca) |
 | `GET /health` | Health check |
 | `POST /api/v1/webhooks/{id}/test` | Test non distruttivo |
 
@@ -86,6 +91,8 @@ http://localhost:8000/health
 | `POST /api/v1/notebooks/{id}/generate/*` | Lungo, può fallire |
 | `GET /api/v1/notebooks/{id}/artifacts/{id}/download` | Scrive filesystem |
 | `POST /api/v1/webhooks` | Configura endpoint |
+| `POST /api/v1/notebooklm/sync/{id}` | Indicizza dati (tempo/risorse) |
+| `DELETE /api/v1/notebooklm/sync/{id}` | Rimuove dati indicizzati |
 
 ---
 
@@ -242,6 +249,46 @@ curl http://localhost:8000/api/v1/notebooks/{id}/artifacts/{artifact_id}/downloa
   -o artifact.mp3
 ```
 
+### RAG Integration
+
+```bash
+# Sincronizzare notebook nel vector store
+curl -X POST http://localhost:8000/api/v1/notebooklm/sync/{notebook_id} \
+  -H "X-API-Key: your-key"
+
+# Lista notebook sincronizzati
+curl http://localhost:8000/api/v1/notebooklm/indexed \
+  -H "X-API-Key: your-key"
+
+# Query sui notebook (solo contenuto notebook)
+curl -X POST http://localhost:8000/api/v1/query/notebooks \
+  -H "X-API-Key: your-key" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "question": "Quali sono i punti chiave?",
+    "notebook_ids": ["uuid-1", "uuid-2"],
+    "k": 10,
+    "provider": "openai"
+  }'
+
+# Query mista (documenti + notebook)
+curl -X POST http://localhost:8000/api/v1/query \
+  -H "X-API-Key: your-key" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "question": "Confronta le informazioni tra documenti e notebook",
+    "notebook_ids": ["uuid-1"],
+    "include_documents": true,
+    "provider": "anthropic"
+  }'
+
+# Rimuovere sincronizzazione
+curl -X DELETE http://localhost:8000/api/v1/notebooklm/sync/{notebook_id} \
+  -H "X-API-Key: your-key"
+```
+
+---
+
 ### Webhook Management
 
 ```bash
@@ -555,7 +602,7 @@ curl http://localhost:8000/api/v1/notebooks -H "X-API-Key: your-key"
 
 ---
 
-**Skill Version:** 1.1.0  
+**Skill Version:** 1.2.0  
 **API Version:** v1  
 **Last Updated:** 2026-04-06
 
@@ -585,3 +632,38 @@ curl http://localhost:8000/api/v1/notebooks -H "X-API-Key: your-key"
 - Chat functionality
 - Content generation (audio, video, etc.)
 - Webhook system
+
+---
+
+## Changelog Sprint 2
+
+### 2026-04-06 - NotebookLM + RAG Integration
+
+**Implemented:**
+- ✅ `POST /api/v1/notebooklm/sync/{id}` - Sync notebook to RAG vector store
+- ✅ `GET /api/v1/notebooklm/indexed` - List synced notebooks
+- ✅ `DELETE /api/v1/notebooklm/sync/{id}` - Remove notebook from RAG
+- ✅ `GET /api/v1/notebooklm/sync/{id}/status` - Check sync status
+- ✅ `POST /api/v1/query/notebooks` - Query only notebook content
+- ✅ Enhanced `POST /api/v1/query` - Filter by notebook_ids
+
+**Features:**
+- NotebookLMIndexerService for content extraction and indexing
+- Vector store integration with Qdrant
+- Metadata preservation (notebook_id, source_id, source_title)
+- Multi-notebook queries
+- Hybrid search (documents + notebooks)
+- Support for all LLM providers in notebook queries
+- Comprehensive test coverage (428 lines of tests)
+
+**Architecture:**
+- Service layer: NotebookLMIndexerService
+- API routes: notebooklm_sync.py
+- Enhanced RAGService with notebook filtering
+- Extended VectorStoreService with filter support
+
+**Documentation:**
+- ✅ Updated README.md with integration overview
+- ✅ Created docs/integration.md with full guide
+- ✅ Updated SKILL.md with new capabilities
+- ✅ API examples and best practices