Update rag_engine.py

rag_engine.py

@@ -139,7 +139,7 @@ class KnowledgeBase:
         except Exception as e:
             return f"Error vectorizing: {e}"
 
-    def search(self, query: str, top_k: int = 15) -> str:
+    def search(self, query: str, top_k: int = 10) -> str:
         """
         Retrieves docs using FAISS -> Reranks using FlashRank.
         """
@@ -164,7 +164,7 @@ class KnowledgeBase:
         results = self.ranker.rerank(rerank_request)
         
         # Return Top 5 re-ranked chunks
-        top_results = results[:5]
+        top_results = results[:1]
         return "\n\n".join([f"[Local RAG] {r['text']}" for r in top_results])
 
 local_kb = KnowledgeBase()