feat: Add Playbook Manager, Saved Searches, and Timeline View components

- Implemented PlaybookManager for creating and managing investigation playbooks with templates.
- Added SavedSearches component for managing bookmarked queries and recurring scans.
- Introduced TimelineView for visualizing forensic event timelines with zoomable charts.
- Enhanced backend processing with auto-queued jobs for dataset uploads and improved database concurrency.
- Updated frontend components for better user experience and performance optimizations.
- Documented changes in update log for future reference.

backend/app/services/triage.py

@@ -1,4 +1,4 @@
-"""Auto-triage service - fast LLM analysis of dataset batches via Roadrunner."""
+"""Auto-triage service - fast LLM analysis of dataset batches via Roadrunner."""
 
 from __future__ import annotations
 
@@ -15,7 +15,7 @@ from app.db.models import Dataset, DatasetRow, TriageResult
 
 logger = logging.getLogger(__name__)
 
-DEFAULT_FAST_MODEL = "qwen2.5-coder:7b-instruct-q4_K_M"
+DEFAULT_FAST_MODEL = settings.DEFAULT_FAST_MODEL
 ROADRUNNER_URL = f"{settings.roadrunner_url}/api/generate"
 
 ARTIFACT_FOCUS = {
@@ -80,7 +80,7 @@ async def triage_dataset(dataset_id: str) -> None:
             rows_result = await db.execute(
                 select(DatasetRow)
                 .where(DatasetRow.dataset_id == dataset_id)
-                .order_by(DatasetRow.row_number)
+                .order_by(DatasetRow.row_index)
                 .offset(offset)
                 .limit(batch_size)
             )
@@ -167,4 +167,4 @@ Be precise. Only flag genuinely suspicious items. Respond with valid JSON only."
 
             offset += batch_size
 
-    logger.info("Triage complete for dataset %s", dataset_id)
+    logger.info("Triage complete for dataset %s", dataset_id)