feat: Add vectorized summary field and migration tools

- Add 'summary' field to Chunk collection (vectorized with text2vec)
- Migrate from Dynamic index to HNSW + RQ for both Chunk and Summary
- Add LLM summarizer module (utils/llm_summarizer.py)
- Add migration scripts (migrate_add_summary.py, restore_*.py)
- Add summary generation utilities and progress tracking
- Add testing and cleaning tools (outils_test_and_cleaning/)
- Add comprehensive documentation (ANALYSE_*.md, guides)
- Remove obsolete files (linear_config.py, old test files)
- Update .gitignore to exclude backups and temp files

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

generations/library_rag/check_progress.py

@@ -0,0 +1,67 @@
+"""Script pour vérifier la progression de la génération de résumés."""
+
+import json
+import sys
+from datetime import datetime
+from pathlib import Path
+
+import weaviate
+
+# Fix encoding
+if sys.platform == 'win32' and hasattr(sys.stdout, 'reconfigure'):
+    sys.stdout.reconfigure(encoding='utf-8')
+
+PROGRESS_FILE = Path("summary_generation_progress.json")
+
+print("=" * 80)
+print("PROGRESSION GÉNÉRATION DE RÉSUMÉS")
+print("=" * 80)
+
+# Lire la progression
+if not PROGRESS_FILE.exists():
+    print("\n⚠ Aucune progression sauvegardée")
+    print("  → Lancez resume_summaries.bat pour démarrer")
+    sys.exit(0)
+
+with open(PROGRESS_FILE, "r", encoding="utf-8") as f:
+    progress = json.load(f)
+
+processed = progress["total_processed"]
+last_update = progress.get("last_update", "N/A")
+
+print(f"\n📊 Chunks traités      : {processed}")
+print(f"🕒 Dernière MAJ        : {last_update}")
+
+# Connexion Weaviate pour vérifier le total
+try:
+    client = weaviate.connect_to_local(host="localhost", port=8080, grpc_port=50051)
+
+    chunk_collection = client.collections.get("Chunk")
+    all_chunks = chunk_collection.query.fetch_objects(limit=10000)
+
+    without_summary = sum(1 for obj in all_chunks.objects if not obj.properties.get("summary", ""))
+    total = len(all_chunks.objects)
+    with_summary = total - without_summary
+
+    print(f"\n📈 Total chunks        : {total}")
+    print(f"✓  Avec résumé        : {with_summary} ({with_summary/total*100:.1f}%)")
+    print(f"⏳ Sans résumé        : {without_summary} ({without_summary/total*100:.1f}%)")
+
+    if without_summary > 0:
+        print(f"\n🎯 Progression estimée : {with_summary}/{total} chunks")
+        print(f"   Reste à traiter     : {without_summary} chunks")
+
+        # Estimation temps restant (basé sur 50s/chunk)
+        time_remaining_hours = (without_summary * 50) / 3600
+        print(f"   ETA (~50s/chunk)    : {time_remaining_hours:.1f} heures")
+    else:
+        print("\n✅ TERMINÉ ! Tous les chunks ont un résumé !")
+
+    client.close()
+
+except Exception as e:
+    print(f"\n⚠ Erreur connexion Weaviate: {e}")
+
+print("\n" + "=" * 80)
+print("Pour relancer la génération : resume_summaries.bat")
+print("=" * 80)