diff --git a/python/langsmith/async_client.py b/python/langsmith/async_client.py
index 4e1e2f9aa..faa5cf901 100644
--- a/python/langsmith/async_client.py
+++ b/python/langsmith/async_client.py
@@ -841,6 +841,7 @@ async def similar_examples(
         *,
         limit: int,
         dataset_id: ls_client.ID_TYPE,
+        filter: Optional[str] = None,
         **kwargs: Any,
     ) -> List[ls_schemas.ExampleSearch]:
         r"""Retrieve the dataset examples whose inputs best match the current inputs.
@@ -853,6 +854,9 @@ async def similar_examples(
                 input schema. Must be JSON serializable.
             limit (int): The maximum number of examples to return.
             dataset_id (str or UUID): The ID of the dataset to search over.
+            filter (str, optional): A filter string to apply to the search results. Uses
+                the same syntax as the `filter` parameter in `list_runs()`. Only a subset
+                of operations are supported. Defaults to None.
             kwargs (Any): Additional keyword args to pass as part of request body.
 
         Returns:
@@ -898,10 +902,18 @@ async def similar_examples(
 
         """  # noqa: E501
         dataset_id = ls_client._as_uuid(dataset_id, "dataset_id")
+        req = {
+            "inputs": inputs,
+            "limit": limit,
+            **kwargs,
+        }
+        if filter:
+            req["filter"] = filter
+
         resp = await self._arequest_with_retries(
             "POST",
             f"/datasets/{dataset_id}/search",
-            content=ls_client._dumps_json({"inputs": inputs, "limit": limit, **kwargs}),
+            content=ls_client._dumps_json(req),
         )
         ls_utils.raise_for_status_with_text(resp)
         examples = []
diff --git a/python/langsmith/client.py b/python/langsmith/client.py
index 11627143a..3e398c808 100644
--- a/python/langsmith/client.py
+++ b/python/langsmith/client.py
@@ -3488,6 +3488,7 @@ def similar_examples(
         *,
         limit: int,
         dataset_id: ID_TYPE,
+        filter: Optional[str] = None,
         **kwargs: Any,
     ) -> List[ls_schemas.ExampleSearch]:
         r"""Retrieve the dataset examples whose inputs best match the current inputs.
@@ -3500,6 +3501,12 @@ def similar_examples(
                 input schema. Must be JSON serializable.
             limit (int): The maximum number of examples to return.
             dataset_id (str or UUID): The ID of the dataset to search over.
+            filter (str, optional): A filter string to apply to the search results. Uses
+            the same syntax as the `filter` parameter in `list_runs()`. Only a subset
+            of operations are supported. Defaults to None.
+
+            For example, you can use `and(eq(metadata.some_tag, 'some_value'), neq(metadata.env, 'dev'))`
+            to filter only examples where some_tag has some_value, and the environment is not dev.
             kwargs (Any): Additional keyword args to pass as part of request body.
 
         Returns:
@@ -3545,11 +3552,19 @@ def similar_examples(
 
         """  # noqa: E501
         dataset_id = _as_uuid(dataset_id, "dataset_id")
+        req = {
+            "inputs": inputs,
+            "limit": limit,
+            **kwargs,
+        }
+        if filter is not None:
+            req["filter"] = filter
+
         resp = self.request_with_retries(
             "POST",
             f"/datasets/{dataset_id}/search",
             headers=self._headers,
-            data=json.dumps({"inputs": inputs, "limit": limit, **kwargs}),
+            data=json.dumps(req),
         )
         ls_utils.raise_for_status_with_text(resp)
         examples = []
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 66b8e5262..f860e587b 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langsmith"
-version = "0.1.113"
+version = "0.1.114"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 authors = ["LangChain <support@langchain.dev>"]
 license = "MIT"