fix: search_mode reflects actual search path, not result count

code_review_graph/search.py

@@ -313,6 +313,7 @@ def hybrid_search(
     context_files: Optional[list[str]] = None,
     model: Optional[str] = None,
     provider: Optional[str] = None,
+    _out_mode: Optional[list] = None,
 ) -> list[dict[str, Any]]:
     """Hybrid search combining FTS5 BM25 and vector embeddings via RRF.
 
@@ -362,9 +363,18 @@ def hybrid_search(
         if emb_results:
             lists_to_merge.append(emb_results)
         merged = rrf_merge(*lists_to_merge)
+        if _out_mode is not None:
+            if fts_results and emb_results:
+                _out_mode.append("hybrid")
+            elif fts_results:
+                _out_mode.append("fts")
+            else:
+                _out_mode.append("semantic")
     else:
         # Fallback: keyword LIKE matching
         keyword_results = _keyword_search(conn, query, limit=fetch_limit)
+        if _out_mode is not None:
+            _out_mode.append("keyword")
         if not keyword_results:
             return []
         merged = keyword_results

code_review_graph/tools/query.py

@@ -1,4 +1,4 @@
-"""Tools 2, 3, 5, 6, 9: query / search / stats helpers."""
+code_review_graph/tools/query.py"""Tools 2, 3, 5, 6, 9: query / search / stats helpers."""
 
 from __future__ import annotations
 
@@ -403,14 +403,13 @@ def semantic_search_nodes(
     """
     store, root = _get_store(repo_root)
     try:
+        mode_out: list[str] = []
         results = hybrid_search(
             store, query, kind=kind, limit=limit, context_files=context_files,
-            model=model, provider=provider,
+            model=model, provider=provider, _out_mode=mode_out,
         )
 
-        search_mode = "hybrid"
-        if not results:
-            search_mode = "keyword"
+        search_mode = mode_out[0] if mode_out else "keyword"
 
         summary = f"Found {len(results)} node(s) matching '{query}'" + (
             f" (kind={kind})" if kind else ""