Update app.py

app.py

@@ -453,33 +453,23 @@ class PearlyBot:
                 - Professional limits"""
             }
             
-        os.makedirs("knowledge_base", exist_ok=True)
-        
-        # Create and process documents
-        documents = []
-        for filename, content in knowledge_base.items():
-            with open(f"knowledge_base/{filename}", "w") as f:
-                f.write(content)
-            documents.append(content)
-        
-        # Setup embeddings and vector store
-        self.embeddings = HuggingFaceEmbeddings(
-            model_name="sentence-transformers/all-MiniLM-L6-v2"
-        )
-        
-        text_splitter = RecursiveCharacterTextSplitter(
-            chunk_size=300,
-            chunk_overlap=100
-        )
-        
-        texts = text_splitter.split_text("\n\n".join(documents))
-        self.vector_store = FAISS.from_texts(texts, self.embeddings)
-        logger.info("RAG system setup complete")
-
-        return knowledge_base
-    except Exception as e:
-        logger.error(f"Error setting up RAG: {str(e)}")
-        raise
+            # Create knowledge base directory
+            os.makedirs("knowledge_base", exist_ok=True)
+            
+            # Write files and process documents
+            documents = []
+            for filename, content in knowledge_base.items():
+                filepath = os.path.join("knowledge_base", filename)
+                with open(filepath, "w", encoding="utf-8") as f:
+                    f.write(content)
+                documents.append(content)
+                logger.info(f"Written knowledge base file: {filename}")
+            
+            return knowledge_base
+    
+        except Exception as e:
+            logger.error(f"Error loading knowledge base: {str(e)}")
+            raise
 
     def _validate_rag_setup(self):
         """Validate RAG system setup"""