feat: integrate Paperless documents and volatile cache into Librarian

- Add Paperless document search to HybridRAG pipeline
- Add volatile cache (weather, forecast, news, stocks) to HybridRAG
- Add include_documents and include_volatile params to hybrid_search
- Add 📑 and ⚡ icons for document/volatile sources
- Update Librarian prompt with new data source awareness
- Fix Biographer routing: personal memory queries now route correctly
- Add location keywords to Steward pre-fetch logic

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

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

src/agents/librarian/tools.py

@@ -17,20 +17,26 @@ logger = get_logger(__name__)
 async def hybrid_search(
     query: str,
     include_web: bool = True,
+    include_documents: bool = True,
+    include_volatile: bool = True,
 ) -> str:
     """
     Search across all knowledge sources using HybridRAG.
 
     This is the primary research tool, combining:
-    - Vector search (semantic similarity over documents)
+    - Vector search (semantic similarity over wiki pages)
     - Knowledge graph (entities and relationships)
+    - Paperless documents (📑 indexed PDFs, scans, invoices)
+    - Volatile cache (⚡ weather, news, stocks - for user's configured items)
     - Web search (current information from SearXNG)
 
-    Results are fused and re-ranked by relevance.
+    Results are fused and re-ranked by relevance. Volatile data gets priority when fresh.
 
     Args:
         query: Natural language research query
         include_web: Whether to include web results (default: True)
+        include_documents: Whether to include Paperless documents (default: True)
+        include_volatile: Whether to include volatile cache data (default: True)
 
     Returns:
         Formatted search results with sources and context
@@ -38,12 +44,16 @@ async def hybrid_search(
     Examples:
         hybrid_search("How does Docker orchestration work with Kubernetes?")
         hybrid_search("What projects use Neo4j?", include_web=False)
+        hybrid_search("Find my electricity invoices", include_web=False, include_volatile=False)
+        hybrid_search("What's the weather in Rotterdam?")  # May hit volatile cache
     """
     try:
         async with LibraryDeskClient() as client:
             response = await client.hybrid_search(
                 query=query,
                 web_limit=5 if include_web else 0,
+                document_limit=5 if include_documents else 0,
+                volatile_limit=3 if include_volatile else 0,
             )
 
             if not response.results:
@@ -70,6 +80,8 @@ async def hybrid_search(
                     "vector": "📄",
                     "graph": "🔗",
                     "web": "🌐",
+                    "document": "📑",
+                    "volatile": "⚡",
                 }.get(result.source, "•")
 
                 output_parts.append(