diff --git a/docs/docs/use_cases/question_answering/quickstart.ipynb b/docs/docs/use_cases/question_answering/quickstart.ipynb
index 06138508c5..11b2475aec 100644
--- a/docs/docs/use_cases/question_answering/quickstart.ipynb
+++ b/docs/docs/use_cases/question_answering/quickstart.ipynb
@@ -514,7 +514,7 @@
     "\n",
     "First we need to define our logic for searching over documents. LangChain defines a [Retriever](/docs/modules/data_connection/retrievers/) interface which wraps an index that can return relevant `Documents` given a string query.\n",
     "\n",
-    "The most common type of `Retriever` is the [VectorStoreRetriever](/docs/modules/data_connection/retrievers/vectorstore), which uses the similarity search capabilities of a vector store to facillitate retrieval. Any `VectorStore` can easily be turned into a `Retriever` with `VectorStore.as_retriever()`:"
+    "The most common type of `Retriever` is the [VectorStoreRetriever](/docs/modules/data_connection/retrievers/vectorstore), which uses the similarity search capabilities of a vector store to facilitate retrieval. Any `VectorStore` can easily be turned into a `Retriever` with `VectorStore.as_retriever()`:"
    ]
   },
   {