diff --git a/libs/community/langchain_community/embeddings/localai.py b/libs/community/langchain_community/embeddings/localai.py
index b5a926e8fe2ca..d1203bb971155 100644
--- a/libs/community/langchain_community/embeddings/localai.py
+++ b/libs/community/langchain_community/embeddings/localai.py
@@ -42,11 +42,11 @@ def _create_retry_decorator(embeddings: LocalAIEmbeddings) -> Callable[[Any], An
         stop=stop_after_attempt(embeddings.max_retries),
         wait=wait_exponential(multiplier=1, min=min_seconds, max=max_seconds),
         retry=(
-            retry_if_exception_type(openai.error.Timeout)
-            | retry_if_exception_type(openai.error.APIError)
-            | retry_if_exception_type(openai.error.APIConnectionError)
-            | retry_if_exception_type(openai.error.RateLimitError)
-            | retry_if_exception_type(openai.error.ServiceUnavailableError)
+            retry_if_exception_type(openai.APITimeoutError)
+            | retry_if_exception_type(openai.APIError)
+            | retry_if_exception_type(openai.APIConnectionError)
+            | retry_if_exception_type(openai.RateLimitError)
+            | retry_if_exception_type(openai.InternalServerError)
         ),
         before_sleep=before_sleep_log(logger, logging.WARNING),
     )
@@ -64,11 +64,11 @@ def _async_retry_decorator(embeddings: LocalAIEmbeddings) -> Any:
         stop=stop_after_attempt(embeddings.max_retries),
         wait=wait_exponential(multiplier=1, min=min_seconds, max=max_seconds),
         retry=(
-            retry_if_exception_type(openai.error.Timeout)
-            | retry_if_exception_type(openai.error.APIError)
-            | retry_if_exception_type(openai.error.APIConnectionError)
-            | retry_if_exception_type(openai.error.RateLimitError)
-            | retry_if_exception_type(openai.error.ServiceUnavailableError)
+            retry_if_exception_type(openai.APITimeoutError)
+            | retry_if_exception_type(openai.APIError)
+            | retry_if_exception_type(openai.APIConnectionError)
+            | retry_if_exception_type(openai.RateLimitError)
+            | retry_if_exception_type(openai.InternalServerError)
         ),
         before_sleep=before_sleep_log(logger, logging.WARNING),
     )
@@ -89,7 +89,7 @@ def _check_response(response: dict) -> dict:
     if any(len(d["embedding"]) == 1 for d in response["data"]):
         import openai
 
-        raise openai.error.APIError("LocalAI API returned an empty embedding")
+        raise openai.APIError("LocalAI API returned an empty embedding")
     return response