diff --git a/docs/snippets/modules/data_connection/retrievers/self_query/get_started.mdx b/docs/snippets/modules/data_connection/retrievers/self_query/get_started.mdx
index 69d16202d0e..ef7fdc9bb33 100644
--- a/docs/snippets/modules/data_connection/retrievers/self_query/get_started.mdx
+++ b/docs/snippets/modules/data_connection/retrievers/self_query/get_started.mdx
@@ -3,7 +3,7 @@ We'll use a Pinecone vector store in this example.
 
 First we'll want to create a `Pinecone` VectorStore and seed it with some data. We've created a small demo set of documents that contain summaries of movies.
 
-To use Pinecone, you to have `pinecone` package installed and you must have an API key and an Environment. Here are the [installation instructions](https://docs.pinecone.io/docs/quickstart).
+To use Pinecone, you need to have `pinecone` package installed and you must have an API key and an Environment. Here are the [installation instructions](https://docs.pinecone.io/docs/quickstart).
 
 NOTE: The self-query retriever requires you to have `lark` package installed.
 
@@ -85,7 +85,7 @@ retriever = SelfQueryRetriever.from_llm(llm, vectorstore, document_content_descr
 ```
 
 ## Testing it out
-And now we can try actually using our retriever!
+And now we can actually try using our retriever!
 
 
 ```python
@@ -198,4 +198,4 @@ retriever = SelfQueryRetriever.from_llm(
 ```python
 # This example only specifies a relevant query
 retriever.get_relevant_documents("What are two movies about dinosaurs")
-```
\ No newline at end of file
+```