feat(notion): Implement relational Competitive Radar import

- Added import_relational_radar.py for bidirectional database structure in Notion.
- Added refresh_references.py to populate analysis data with grounded facts via scraping.
- Updated documentation for Competitive Radar v2.0.

refresh_references.py

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+import asyncio
+import json
+import os
+import sys
+
+# Path to the orchestrator
+sys.path.append(os.path.join(os.getcwd(), 'competitor-analysis-app'))
+
+from competitor_analysis_orchestrator import analyze_single_competitor_references
+
+async def refresh_references():
+    json_path = 'analysis_robo-planet.de.json'
+    
+    with open(json_path, 'r') as f:
+        data = json.load(f)
+        
+    competitors = data.get('competitors_shortlist', [])
+    if not competitors:
+        competitors = data.get('competitor_candidates', [])
+
+    print(f"Refreshing references for {len(competitors)} competitors...")
+    
+    tasks = [analyze_single_competitor_references(c) for c in competitors]
+    results = await asyncio.gather(*tasks)
+    
+    # Filter and update
+    data['reference_analysis'] = [r for r in results if r is not None]
+    
+    with open(json_path, 'w') as f:
+        json.dump(data, f, indent=2)
+        
+    print(f"Successfully updated {json_path} with grounded reference data.")
+
+if __name__ == "__main__":
+    asyncio.run(refresh_references())