Sprint 0-2: TS plugin scaffolding, LanceDB utils, tooling updates

- Add index-tool.ts command implementation
- Wire lancedb.ts vector search into plugin
- Update src/tools/index.ts exports
- Bump package deps (ts-jest, jest, typescript, lancedb)
- Add .claude/settings.local.json

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

python/obsidian_rag/vector_store.py

@@ -79,6 +79,9 @@ def create_table_if_not_exists(db: Any) -> Any:
     )
 
     tbl = db.create_table(TABLE_NAME, schema=schema, exist_ok=True)
+    # Create FTS index on chunk_text for DEGRADED mode fallback (Ollama down)
+    # replace=True makes this idempotent — safe to call on existing tables
+    tbl.create_fts_index("chunk_text", replace=True)
     return tbl
 
 
@@ -153,11 +156,11 @@ def search_chunks(
             chunk_text=r["chunk_text"],
             source_file=r["source_file"],
             source_directory=r["source_directory"],
-            section=r.get("section"),
-            date=r.get("date"),
-            tags=r.get("tags", []),
-            chunk_index=r.get("chunk_index", 0),
-            score=r.get("_score", 0.0),
+            section=r.get("section") if r.get("section") not in (None, "None") else None,
+            date=r.get("date") if r.get("date") not in (None, "None") else None,
+            tags=r.get("tags") or [],
+            chunk_index=r.get("chunk_index") or 0,
+            score=r.get("_distance") or 0.0,
         )
         for r in results
     ]