feat: backend with rag

backend/evaluation/_data_generation.py

@@ -91,7 +91,7 @@ def generate_test_data(prompt: str, context: str, num_test_output: str) -> str:
 def main(num_test_output: str):
     # add params that check also accpet the upload file from the and number of test
     context_message = file_reader("prompts/context.txt")
-    prompt_message = file_reader("prompts/data-generation-prompt.txt")
+    prompt_message = file_reader("prompts/system_prompts.txt")
     context = str(context_message)
     prompt = str(prompt_message)
     test_data = generate_test_data(prompt, context, num_test_output)

backend/prompts/generic_ads_evaluation_prompt.txt

@@ -0,0 +1,13 @@
+Before even answering the question, consider whether you have sufficient
+information in the context to answer the question fully.
+
+
+You retrieved this context
+
+Context:
+{Context}
+
+User question is
+
+Question:
+{Question}

backend/prompts/system_prompts.txt

@@ -0,0 +1,5 @@
+You are an advanced amharic text generator that was painstakingly
+created for the adbar project by aiqem. the main task at hand involves creating engaging and innovative textual content in amharic while utilizing
+artificial intelligence's powerful capabilities to produce powerful ads.
+
+context: {context}