diff --git a/docs/examples/chains/chatgpt_clone.ipynb b/docs/examples/chains/chatgpt_clone.ipynb
index f958b9234fe..64fe36f7504 100644
--- a/docs/examples/chains/chatgpt_clone.ipynb
+++ b/docs/examples/chains/chatgpt_clone.ipynb
@@ -963,7 +963,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.8"
   }
  },
  "nbformat": 4,
diff --git a/docs/getting_started/data_augmented_generation.ipynb b/docs/getting_started/data_augmented_generation.ipynb
index 51bcf663301..177ae8e9ce4 100644
--- a/docs/getting_started/data_augmented_generation.ipynb
+++ b/docs/getting_started/data_augmented_generation.ipynb
@@ -37,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "91d307ed",
    "metadata": {},
    "outputs": [],
@@ -56,7 +56,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "id": "10a93bf9",
    "metadata": {},
    "outputs": [],
@@ -77,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "fa0f3066",
    "metadata": {},
    "outputs": [],
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "id": "8465b4b7",
    "metadata": {},
    "outputs": [],
@@ -107,7 +107,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "611be801",
    "metadata": {},
    "outputs": [
@@ -143,7 +143,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "id": "b6255b02",
    "metadata": {},
    "outputs": [],
@@ -153,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "ec4eacad",
    "metadata": {},
    "outputs": [],
@@ -163,17 +163,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "59c7508d",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "\" The president said that Ketanji Brown Jackson is one of our nation's top legal minds, a former top litigator in private practice, a former federal public defender, and from a family of public school educators and police officers. The president also said that Ketanji Brown Jackson is a consensus builder and has received a broad range of support from the Fraternal Order of Police to former judges appointed by Democrats and Republicans.\""
+       "\" The president said that Ketanji Brown Jackson is one of the nation's top legal minds and will continue Justice Breyer's legacy of excellence.\""
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/langchain/chains/base.py b/langchain/chains/base.py
index 123794a320e..24f90ea0bcd 100644
--- a/langchain/chains/base.py
+++ b/langchain/chains/base.py
@@ -88,14 +88,19 @@ class Chain(BaseModel, ABC):
 
         """
         if not isinstance(inputs, dict):
-            if len(self.input_keys) != 1:
+            _input_keys = set(self.input_keys)
+            if self.memory is not None:
+                # If there are multiple input keys, but some get set by memory so that
+                # only one is not set, we can still figure out which key it is.
+                _input_keys = _input_keys.difference(self.memory.memory_variables)
+            if len(_input_keys) != 1:
                 raise ValueError(
                     f"A single string input was passed in, but this chain expects "
-                    f"multiple inputs ({self.input_keys}). When a chain expects "
+                    f"multiple inputs ({_input_keys}). When a chain expects "
                     f"multiple inputs, please call it by passing in a dictionary, "
                     "eg `chain({'foo': 1, 'bar': 2})`"
                 )
-            inputs = {self.input_keys[0]: inputs}
+            inputs = {list(_input_keys)[0]: inputs}
         if self.memory is not None:
             external_context = self.memory.load_memory_variables(inputs)
             inputs = dict(inputs, **external_context)
diff --git a/tests/unit_tests/chains/test_base.py b/tests/unit_tests/chains/test_base.py
index ade2d318eef..69dfd6bf7cc 100644
--- a/tests/unit_tests/chains/test_base.py
+++ b/tests/unit_tests/chains/test_base.py
@@ -1,10 +1,31 @@
 """Test logic on base chain class."""
-from typing import Dict, List
+from typing import Any, Dict, List
 
 import pytest
 from pydantic import BaseModel
 
-from langchain.chains.base import Chain
+from langchain.chains.base import Chain, Memory
+
+
+class FakeMemory(Memory, BaseModel):
+    """Fake memory class for testing purposes."""
+
+    @property
+    def memory_variables(self) -> List[str]:
+        """Return baz variable."""
+        return ["baz"]
+
+    def load_memory_variables(self, inputs: Dict[str, Any]) -> Dict[str, str]:
+        """Return baz variable."""
+        return {"baz": "foo"}
+
+    def save_context(self, inputs: Dict[str, Any], outputs: Dict[str, str]) -> None:
+        """Pass."""
+        pass
+
+    def clear(self) -> None:
+        """Pass."""
+        pass
 
 
 class FakeChain(Chain, BaseModel):
@@ -106,3 +127,9 @@ def test_multiple_output_keys_error() -> None:
     chain = FakeChain(the_output_keys=["foo", "bar"])
     with pytest.raises(ValueError):
         chain.run("bar")
+
+
+def test_run_arg_with_memory() -> None:
+    """Test run method works when arg is passed."""
+    chain = FakeChain(the_input_keys=["foo", "baz"], memory=FakeMemory())
+    chain.run("bar")