update functions

backend/embeddings.py

@@ -10,15 +10,19 @@ class EmbeddingGenerator:
         response = self.client.embed(
             texts=[text],
             model=Config.EMBED_MODEL,
-            input_type="document"
+            input_type="search_document"
         )
         return response.embeddings[0]
 
     def rerank_issues(self, issues: list, query: str, top_n: int = 5):
+        # Handle empty issues list
+        if not issues:
+            return []
+
         response = self.client.rerank(
             query=query,
             documents=issues,
-            top_n=top_n,
+            top_n=min(top_n, len(issues)),
             model=Config.RERANK_MODEL
         )
         return [result.document for result in response.results]