From f9561fd7c5a24cd61f0bd9b31c767252ac7ae0a1 Mon Sep 17 00:00:00 2001
From: Bagatur <22008038+baskaryan@users.noreply.github.com>
Date: Sun, 17 Sep 2023 15:54:59 -0700
Subject: [PATCH] docs intro nit (#10711)

---
 docs/docs_skeleton/docs/get_started/introduction.mdx | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/docs_skeleton/docs/get_started/introduction.mdx b/docs/docs_skeleton/docs/get_started/introduction.mdx
index 23ec1b18f0c..1ab13d6e8c6 100644
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@@ -5,8 +5,8 @@ sidebar_position: 0
 # Introduction
 
 **LangChain** is a framework for developing applications powered by language models. It enables applications that:
-- **Are context-aware**: connect a language model to other sources of context (prompt instructions, few shot examples, content to ground it's response in)
-- **Reason**: rely on a language model to reason (about how to answer based on provided context, what actions to take, etc)
+- **Are context-aware**: connect a language model to sources of context (prompt instructions, few shot examples, content to ground its response in, etc.)
+- **Reason**: rely on a language model to reason (about how to answer based on provided context, what actions to take, etc.)
 
 The main value props of LangChain are:
 1. **Components**: abstractions for working with language models, along with a collection of implementations for each abstraction. Components are modular and easy-to-use, whether you are using the rest of the LangChain framework or not