From af15426ad7e07149f50f7275a495163504055742 Mon Sep 17 00:00:00 2001
From: ehhuang <ehhuang@users.noreply.github.com>
Date: Thu, 6 Feb 2025 17:30:21 -0800
Subject: [PATCH] doc: getting started notebook (#996)

# What does this PR do?

Fix link

## Test Plan

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## Documentation

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 docs/source/building_applications/index.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/building_applications/index.md b/docs/source/building_applications/index.md
index 45dca5a1c..e89a90299 100644
--- a/docs/source/building_applications/index.md
+++ b/docs/source/building_applications/index.md
@@ -4,7 +4,7 @@ Llama Stack provides all the building blocks needed to create sophisticated AI a
 
 The best way to get started is to look at this notebook which walks through the various APIs (from basic inference, to RAG agents) and how to use them.
 
-**Notebook**: [Building AI Applications](https://github.com/meta-llama/llama-stack/blob/main/docs/notebooks/Llama_Stack_Benchmark_Evals.ipynb)
+**Notebook**: [Building AI Applications](https://github.com/meta-llama/llama-stack/blob/main/docs/getting_started.ipynb)
 
 Here are some key topics that will help you build effective agents: