From bea5798b04f3dd739cf598000779a1e5ab487d5a Mon Sep 17 00:00:00 2001
From: Kostadin Devedzhiev <48786151+kostadindev@users.noreply.github.com>
Date: Wed, 15 Jan 2025 10:10:14 -0500
Subject: [PATCH] docs: Fix typo in retrievers documentation: 'An vectorstore'
 -> 'A vectorstore' (#29221)

- [x] **PR title**: "docs: Fix typo in documentation"

- [x] **PR message**:
- **Description:** Fixed a typo in the documentation, changing "An
vectorstore" to "A vector store" for grammatical accuracy.
    - **Issue:** N/A (no issue filed for this typo fix)
    - **Dependencies:** None
    - **Twitter handle:** N/A


- [x] **Add tests and docs**: This is a minor documentation fix that
doesn't require additional tests or example notebooks.


- [x] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/
---
 docs/docs/concepts/retrievers.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/docs/concepts/retrievers.mdx b/docs/docs/concepts/retrievers.mdx
index 1fb55a3f1c5..baa3fc7c174 100644
--- a/docs/docs/concepts/retrievers.mdx
+++ b/docs/docs/concepts/retrievers.mdx
@@ -90,7 +90,7 @@ LangChain has retrievers for many popular lexical search algorithms / engines.
 ### Vector store 
 
 [Vector stores](/docs/concepts/vectorstores/) are a powerful and efficient way to index and retrieve unstructured data. 
-An vectorstore can be used as a retriever by calling the `as_retriever()` method.
+A vectorstore can be used as a retriever by calling the `as_retriever()` method.
 
 ```python
 vectorstore = MyVectorStore()