diff --git a/docs/snippets/modules/chains/popular/summarize.mdx b/docs/snippets/modules/chains/popular/summarize.mdx
index 1a48b8e600..e77c327bd3 100644
--- a/docs/snippets/modules/chains/popular/summarize.mdx
+++ b/docs/snippets/modules/chains/popular/summarize.mdx
@@ -184,6 +184,7 @@ You can also use prompt with multi input. In this example, we will use a MapRedu
 ```python
 from langchain.chains.combine_documents.map_reduce import MapReduceDocumentsChain
 from langchain.chains.combine_documents.stuff import StuffDocumentsChain
+from langchain.chains import ReduceDocumentsChain
 
 map_template_string = """Give the following python code information, generate a description that explains what the code does and also mention the time complexity.
 Code:
diff --git a/libs/langchain/langchain/chains/combine_documents/refine.py b/libs/langchain/langchain/chains/combine_documents/refine.py
index 76087a9877..025e264165 100644
--- a/libs/langchain/langchain/chains/combine_documents/refine.py
+++ b/libs/langchain/langchain/chains/combine_documents/refine.py
@@ -53,7 +53,7 @@ class RefineDocumentsChain(BaseCombineDocumentsChain):
             prompt = PromptTemplate.from_template(
                 "Summarize this content: {context}"
             )
-            llm_chain = LLMChain(llm=llm, prompt=prompt)
+            initial_llm_chain = LLMChain(llm=llm, prompt=prompt)
             initial_response_name = "prev_response"
             # The prompt here should take as an input variable the
             # `document_variable_name` as well as `initial_response_name`
@@ -61,7 +61,7 @@ class RefineDocumentsChain(BaseCombineDocumentsChain):
                 "Here's your first summary: {prev_response}. "
                 "Now add to it based on the following context: {context}"
             )
-            llm_chain_refine = LLMChain(llm=llm, prompt=prompt_refine)
+            refine_llm_chain = LLMChain(llm=llm, prompt=prompt_refine)
             chain = RefineDocumentsChain(
                 initial_llm_chain=initial_llm_chain,
                 refine_llm_chain=refine_llm_chain,