diff --git a/docs/docs_skeleton/docs/get_started/quickstart.mdx b/docs/docs_skeleton/docs/get_started/quickstart.mdx
index 3bbbc331ea9..8250083adc4 100644
--- a/docs/docs_skeleton/docs/get_started/quickstart.mdx
+++ b/docs/docs_skeleton/docs/get_started/quickstart.mdx
@@ -47,7 +47,7 @@ import ChatModel from "@snippets/get_started/quickstart/chat_model.mdx"
 
 ## Prompt templates
 
-Most LLM applications do not pass user input directly into to an LLM. Usually they will add the user input to a larger piece of text, called a prompt template, that provides additional context on the specific task at hand.
+Most LLM applications do not pass user input directly into an LLM. Usually they will add the user input to a larger piece of text, called a prompt template, that provides additional context on the specific task at hand.
 
 In the previous example, the text we passed to the model contained instructions to generate a company name. For our application, it'd be great if the user only had to provide the description of a company/product, without having to worry about giving the model instructions.
 
@@ -155,4 +155,4 @@ You can use Memory with chains and agents initialized with chat models. The main
 <MemoryChatModel/>
 
 </TabItem>
-</Tabs>
\ No newline at end of file
+</Tabs>