remove logs

app/pipeline.py

@@ -53,19 +53,21 @@ class RAGPipeline:
                 )
                 self.documents.append(document)
 
-        # print 10 documents
-        for doc in self.documents[:10]:
-            print(f"Content: {doc.content}")
-            print(f"Metadata: {doc.meta}")
-            print("-"*100)
+ # Documents loaded silently - remove verbose output
         
         # Initialize components
         self.document_store = InMemoryDocumentStore()
         self.doc_embedder = SentenceTransformersDocumentEmbedder(
-            model=embedding_model or MODEL_CONFIG["embedding_model"]
+            model=embedding_model or MODEL_CONFIG["embedding_model"],
+            progress_bar=False
         )
         self.text_embedder = SentenceTransformersTextEmbedder(
-            model=embedding_model or MODEL_CONFIG["embedding_model"]
+            model=embedding_model or MODEL_CONFIG["embedding_model"],
+            progress_bar=False
+        )
+        self.text_embedder = SentenceTransformersTextEmbedder(
+            model=embedding_model or MODEL_CONFIG["embedding_model"],
+            progress_bar=False
         )
         self.retriever = InMemoryEmbeddingRetriever(self.document_store)