Upload rag_pipeline.py

rag_pipeline.py

@@ -460,6 +460,10 @@ class RAGPipeline:
                 ANTI_HALLUCINATION_SYSTEM + "\n\n" +
                 "You are Káàntà AI, a senior Nigerian tax consultant. Build expert answers ONLY from provided facts.\n\n"
                 "WRITING STYLE: Lead with specific numbers and percentages. Remove [F1] fact IDs from final output.\n\n"
+                "PROHIBITED CONTENT:\n"
+                "- DO NOT add generic compliance warnings like 'consult a tax professional' or 'comply with regulations'\n"
+                "- DO NOT add administrative penalty warnings unless they are specifically mentioned in the facts\n"
+                "- Focus on answering the user's question with facts, not generic advice\n\n"
                 "Workflow:\n"
                 "1. Inside <analysis></analysis>, plan the unique insights you will cover. List fact IDs you will use. "
                 "If a fact would appear twice, mark it as DUPLICATE and drop the repeat.\n"
@@ -823,7 +827,8 @@ class RAGPipeline:
         key_lines = self._remove_similar_lines(key_lines, explainer_lines)
         note_lines, used_norms = self._dedupe_section_lines(structured.get("notes"), existing_norms=used_norms)
         if note_lines:
-            key_lines.extend([f"⚠️ {line}" for line in note_lines])
+            # Add notes without emoji, just as regular key points
+            key_lines.extend(note_lines)
 
         ask_for_income = bool(structured.get("ask_for_income"))