Update app.py

app.py

@@ -440,8 +440,10 @@ async def tool_library_info(question, history=None, model="gpt"):
     best_score = min(score for _, score in docs_with_scores)
     print(f"RAG best_score={best_score:.3f} for: {question[:60]}")
 
-    if best_score > 1.8:
-        print(f"RAG skipped — score {best_score:.3f} too high")
+    # Threshold 1.2: Only answer from KB when docs are clearly relevant
+    # "who is Indian PM", "what is photosynthesis" etc score >1.2 against library KB
+    if best_score > 1.2:
+        print(f"RAG skipped — score {best_score:.3f} exceeds 1.2 threshold")
         return {"answer": "", "sources": [], "has_answer": False}
 
     docs = [doc for doc, _ in docs_with_scores]