diff --git a/astrbot/core/provider/sources/openai_embedding_source.py b/astrbot/core/provider/sources/openai_embedding_source.py
index 126a41fdaf..9f87897ac8 100644
--- a/astrbot/core/provider/sources/openai_embedding_source.py
+++ b/astrbot/core/provider/sources/openai_embedding_source.py
@@ -70,7 +70,9 @@ def _embedding_kwargs(self) -> dict:
         kwargs = {}
         if "embedding_dimensions" in self.provider_config:
             try:
-                kwargs["dimensions"] = int(self.provider_config["embedding_dimensions"])
+                dim_val = int(self.provider_config["embedding_dimensions"])
+                if dim_val > 0:
+                    kwargs["dimensions"] = dim_val
             except (ValueError, TypeError):
                 logger.warning(
                     f"embedding_dimensions in embedding configs is not a valid integer: '{self.provider_config['embedding_dimensions']}', ignored."
diff --git a/astrbot/dashboard/services/knowledge_base_service.py b/astrbot/dashboard/services/knowledge_base_service.py
index ad2121c9aa..77f8c6c6ba 100644
--- a/astrbot/dashboard/services/knowledge_base_service.py
+++ b/astrbot/dashboard/services/knowledge_base_service.py
@@ -304,9 +304,11 @@ async def create_kb(self, data: object) -> tuple[dict[str, Any], str]:
             )
         try:
             vec = await provider.get_embedding("astrbot")
-            if len(vec) != provider.get_dim():
+            actual_dim = len(vec)
+            configured_dim = provider.get_dim()
+            if configured_dim != 0 and actual_dim != configured_dim:
                 raise ValueError(
-                    f"嵌入向量维度不匹配，实际是 {len(vec)}，然而配置是 {provider.get_dim()}",
+                    f"嵌入向量维度不匹配，实际是 {actual_dim}，然而配置是 {configured_dim}",
                 )
         except Exception as exc:
             raise KnowledgeBaseServiceError(f"测试嵌入模型失败: {exc!s}") from exc