diff --git a/llama_stack/providers/inline/vector_io/faiss/faiss.py b/llama_stack/providers/inline/vector_io/faiss/faiss.py
index 355750b25..62a98413d 100644
--- a/llama_stack/providers/inline/vector_io/faiss/faiss.py
+++ b/llama_stack/providers/inline/vector_io/faiss/faiss.py
@@ -73,7 +73,15 @@ class FaissIndex(EmbeddingIndex):
             self.chunk_by_index = {int(k): Chunk.model_validate_json(v) for k, v in data["chunk_by_index"].items()}
 
             buffer = io.BytesIO(base64.b64decode(data["faiss_index"]))
-            self.index = faiss.deserialize_index(np.loadtxt(buffer, dtype=np.uint8))
+            try:
+                self.index = faiss.deserialize_index(np.load(buffer, allow_pickle=False))
+            except Exception as e:
+                logger.debug(e, exc_info=True)
+                raise ValueError(
+                    "Error deserializing Faiss index from storage. If you recently upgraded your Llama Stack, Faiss, "
+                    "or NumPy versions, you may need to delete the index and re-create it again or downgrade versions.\n"
+                    f"The problematic index is stored in the key value store {self.kvstore} under the key '{index_key}'."
+                ) from e
 
     async def _save_index(self):
         if not self.kvstore or not self.bank_id:
@@ -81,7 +89,7 @@ class FaissIndex(EmbeddingIndex):
 
         np_index = faiss.serialize_index(self.index)
         buffer = io.BytesIO()
-        np.savetxt(buffer, np_index)
+        np.save(buffer, np_index, allow_pickle=False)
         data = {
             "chunk_by_index": {k: v.model_dump_json() for k, v in self.chunk_by_index.items()},
             "faiss_index": base64.b64encode(buffer.getvalue()).decode("utf-8"),
diff --git a/llama_stack/providers/utils/kvstore/sqlite/sqlite.py b/llama_stack/providers/utils/kvstore/sqlite/sqlite.py
index 4e49e4d8c..6a6a170dc 100644
--- a/llama_stack/providers/utils/kvstore/sqlite/sqlite.py
+++ b/llama_stack/providers/utils/kvstore/sqlite/sqlite.py
@@ -18,6 +18,9 @@ class SqliteKVStoreImpl(KVStore):
         self.db_path = config.db_path
         self.table_name = "kvstore"
 
+    def __str__(self):
+        return f"SqliteKVStoreImpl(db_path={self.db_path}, table_name={self.table_name})"
+
     async def initialize(self):
         os.makedirs(os.path.dirname(self.db_path), exist_ok=True)
         async with aiosqlite.connect(self.db_path) as db: