diff --git a/api/app/core/rag/nlp/search.py b/api/app/core/rag/nlp/search.py
index 774c7036..572f2e3c 100644
--- a/api/app/core/rag/nlp/search.py
+++ b/api/app/core/rag/nlp/search.py
@@ -28,7 +28,9 @@ from app.core.rag.common.float_utils import get_float
 from app.core.rag.common.constants import PAGERANK_FLD, TAG_FLD
 from app.core.rag.llm.chat_model import Base
 from app.core.rag.llm.embedding_model import OpenAIEmbed
+import logging
 
+logger = logging.getLogger(__name__)
 
 def knowledge_retrieval(
         query: str,
@@ -171,10 +173,16 @@ def knowledge_retrieval(
                 return rerank(db=db, reranker_id=reranker_id, query=query, docs=all_results, top_k=reranker_top_k)
             except Exception as rerank_error:
                 # If reranker fails, log warning and continue with original results
-                print(f"Failed to rerank documents: {str(rerank_error)}")
-                print(f"Continuing with original retrieval results (count: {len(all_results)})")
-        
-        # use graph
+                logger.warning(
+                    "Reranker failed, falling back to original results",
+                    extra={
+                        "reranker_id": reranker_id,
+                        "query": query,
+                        "doc_count": len(all_results),
+                        "error": str(e),
+                    },
+                )
+
         if use_graph:
             try:
                 from app.core.rag.common.settings import kg_retriever