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/sample_summaries.py

@@ -0,0 +1,32 @@
+"""Récupère des exemples de résumés générés."""
+import weaviate
+
+client = weaviate.connect_to_local()
+chunk_col = client.collections.get('Chunk')
+
+# Récupérer les 10 premiers chunks avec résumé
+response = chunk_col.query.fetch_objects(limit=100)
+
+summaries_found = 0
+for obj in response.objects:
+    summary = obj.properties.get('summary', '')
+    if summary and summary != '':
+        text = obj.properties.get('text', '')
+        work = obj.properties.get('work', {})
+
+        print("=" * 80)
+        print(f"WORK: {work.get('title', 'N/A')} - {work.get('author', 'N/A')}")
+        print("=" * 80)
+        print(f"\nTEXTE ORIGINAL ({len(text)} chars):")
+        print(text[:300] + "..." if len(text) > 300 else text)
+        print(f"\nRÉSUMÉ GÉNÉRÉ ({len(summary)} chars):")
+        print(summary)
+        print("\n")
+
+        summaries_found += 1
+        if summaries_found >= 5:
+            break
+
+client.close()
+
+print(f"\n✓ {summaries_found} exemples affichés")