diff --git a/vectordb_bench/backend/clients/doris/config.py b/vectordb_bench/backend/clients/doris/config.py
index bd7c91c7b..a15309922 100644
--- a/vectordb_bench/backend/clients/doris/config.py
+++ b/vectordb_bench/backend/clients/doris/config.py
@@ -35,9 +35,11 @@ def to_dict(self) -> dict:
 
 class DorisCaseConfig(BaseModel, DBCaseConfig):
     metric_type: MetricType | None = None
-    # Optional explicit HNSW params for convenience
+    # Optional explicit HNSW/IVF params for convenience
+    index_type: str | None = None
     m: int | None = None
     ef_construction: int | None = None
+    nlist: int | None = None
     # Arbitrary index properties and session variables
     index_properties: dict[str, str] | None = None
     session_vars: dict[str, str] | None = None
@@ -59,15 +61,30 @@ def get_metric_fn(self) -> str:
 
     def index_param(self) -> dict:
         # Use exact metric function name for index creation by removing '_approximate' suffix
-        metric_fn = self.get_metric_fn()
-        if metric_fn.endswith("_approximate"):
-            metric_fn = metric_fn[: -len("_approximate")]
-        props = {"metric_fn": metric_fn}
+        metric_type = self.get_metric_fn()
+        if metric_type.endswith("_approximate"):
+            metric_type = metric_type[: -len("_approximate")]
+        props = {"metric_type": metric_type}
+
+        if self.index_type is not None:
+            props.setdefault("index_type", self.index_type)
+        else:
+            props.setdefault("index_type", "hnsw")
+
         # Merge optional HNSW params
-        if self.m is not None:
-            props.setdefault("max_degree", str(self.m))
-        if self.ef_construction is not None:
-            props.setdefault("ef_construction", str(self.ef_construction))
+        props["index_type"] = str.lower(props["index_type"])
+        if props["index_type"] == "hnsw":
+            if self.m is not None:
+                props.setdefault("max_degree", str(self.m))
+            if self.ef_construction is not None:
+                props.setdefault("ef_construction", str(self.ef_construction))
+        elif props["index_type"] == "ivf":
+            if self.nlist is not None:
+                props.setdefault("nlist", str(self.nlist))
+        else:
+            msg = f"Unsupported index type: {props['index_type']}"
+            raise ValueError(msg)
+
         # Merge user provided index_properties
         if self.index_properties:
             props.update(self.index_properties)
diff --git a/vectordb_bench/backend/clients/doris/doris.py b/vectordb_bench/backend/clients/doris/doris.py
index 1805a60c9..82b3a12da 100644
--- a/vectordb_bench/backend/clients/doris/doris.py
+++ b/vectordb_bench/backend/clients/doris/doris.py
@@ -166,36 +166,26 @@ def _create_table(self):
 
     def _build_index_options(self) -> IndexOptions | None:
         index_param = self.case_config.index_param()
-        metric_type = index_param.get("metric_fn", "l2_distance")
-        index_options = IndexOptions(
-            index_type="hnsw",
-            metric_type=metric_type,
-            dim=self.dim,
+        index_options = IndexOptions()
+
+        applied, not_applied = {}, {}
+        for key, value in index_param.items():
+            attr_name = key
+            if hasattr(index_options, attr_name):
+                try:
+                    setattr(index_options, attr_name, value)
+                    applied[key] = value
+                except Exception:
+                    not_applied[key] = value
+            else:
+                not_applied[key] = value
+
+        log.info(
+            "Index options prepared: applied_props=%s not_applied_props=%s",
+            applied,
+            not_applied,
         )
 
-        extra_props = {k: v for k, v in index_param.items() if k != "metric_fn"}
-        if extra_props:
-            applied, stored = {}, {}
-            for key, value in extra_props.items():
-                attr_name = key
-                if hasattr(index_options, attr_name):
-                    try:
-                        setattr(index_options, attr_name, value)
-                        applied[key] = value
-                    except Exception:
-                        stored[key] = value
-                else:
-                    stored[key] = value
-            if stored:
-                index_options.properties = {**getattr(index_options, "properties", {}), **stored}
-            log.info(
-                "Index options prepared: metric=%s applied_props=%s stored_props=%s",
-                metric_type,
-                applied,
-                stored,
-            )
-        else:
-            log.info("Index options prepared: metric=%s (no extra properties)", metric_type)
         log.info("Creating table %s with index %s", self.table_name, index_param)
         return index_options