fix a small bug in kaggle scenario caused by the second RAG update (microsoft#273)

Author: peteryang1

rdagent/app/kaggle/loop.py

@@ -32,10 +32,6 @@ def __init__(self, PROP_SETTING: BasePropSetting):
             scen: Scenario = import_class(PROP_SETTING.scen)(PROP_SETTING.competition)
             logger.log_object(scen, tag="scenario")
 
-            self.vector_base = KaggleExperienceBase()
-            if KAGGLE_IMPLEMENT_SETTING.rag_path:
-                self.vector_base.load(KAGGLE_IMPLEMENT_SETTING.rag_path)
-
             self.hypothesis_gen: HypothesisGen = import_class(PROP_SETTING.hypothesis_gen)(scen)
             logger.log_object(self.hypothesis_gen, tag="hypothesis generator")
 
@@ -86,7 +82,7 @@ def main(path=None, step_n=None, competition=None):
 
     .. code-block:: bash
 
-        dotenv run -- python rdagent/app/kaggle/loop.py [--competition titanic] $LOG_PATH/__session__/1/0_propose  --step_n 1   # `step_n` is a optional paramter
+        dotenv run -- python rdagent/app/kaggle/loop.py [--competition titanic] $LOG_PATH/__session__/1/0_propose  --step_n 1   # `step_n` is a optional parameter
         rdagent kaggle --competition playground-series-s4e8  # You are encouraged to use this one.
 
     """

rdagent/scenarios/kaggle/experiment/scenario.py

@@ -38,7 +38,7 @@ def __init__(self, competition: str) -> None:
 
         # all competitions are based on the same vector base
         self.vector_base = KaggleExperienceBase()
-        if KAGGLE_IMPLEMENT_SETTING.rag_path:
+        if KAGGLE_IMPLEMENT_SETTING.rag_path and Path(KAGGLE_IMPLEMENT_SETTING.rag_path).exists():
             self.vector_base.load(KAGGLE_IMPLEMENT_SETTING.rag_path)
 
     def _analysis_competition_description(self):

rdagent/scenarios/kaggle/proposal/proposal.py

@@ -93,7 +93,7 @@ def prepare_context(self, trace: Trace) -> Tuple[dict, bool]:
 
         context_dict = {
             "hypothesis_and_feedback": hypothesis_feedback,
-            "RAG": rag_content,
+            "RAG": None,
             "hypothesis_output_format": prompt_dict["hypothesis_output_format"],
             "hypothesis_specification": None,
         }