From b96f59f630345adf2ae5f47562d540f1cd9310f9 Mon Sep 17 00:00:00 2001
From: Brian Jordan <206973+bcjordan@users.noreply.github.com>
Date: Mon, 22 Jul 2024 16:47:34 -0400
Subject: [PATCH] fix typo in README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 2e6409e..5b66803 100644
--- a/README.md
+++ b/README.md
@@ -9,7 +9,7 @@ with an lru-cache.
 One significant challenge facing large language models (LLMs) is their tendency
 to generate syntactically correct but factually inaccurate responses, a
 phenomenon known as hallucination. To address this issue, vector databases
-provide LLMs with relevant context to structure it's response. This not only
+provide LLMs with relevant context to structure its response. This not only
 improves the accuracy of LLM responses but also minimizes computational costs
 incurred by irrelevant tokens. Additionally, vector databases ensure that LLMs
 are anchored to the required context.