fix: pandas depreciated document handling

retrieval/models/sentence_bert.py

@@ -19,7 +19,6 @@ class DenseRetriever(BaseRetriever):
         self.model = SentenceTransformer(model_name)
         self.corpus_embeddings = None
         self.embeddings_path = self._default_embeddings_path()
-        print(f"Using embeddings path: {self.embeddings_path}")
         self.load_index() if self._embeddings_exist() else self.build_index()
 
     def _default_embeddings_path(self) -> str:

retrieval/utils.py

@@ -33,7 +33,9 @@ def load_documents(db_path: str, columns=["agent_name", "agent_description"]) ->
     """
     agents_df = pd.read_csv(db_path)
     agent_ids = agents_df["agent_id"] # keep agent IDs (mapping back after retrieval)
-    documents = agents_df[columns].astype(str).agg(' '.join, axis=1).tolist()
+    documents = agents_df[columns].apply(
+        lambda row: ' '.join(row.fillna('').astype(str)), axis=1
+    ).tolist()
     return agent_ids, documents