From b7af661850e693e395b355b2d77e6a87a9787c64 Mon Sep 17 00:00:00 2001
From: Fuegovic <32828263+fuegovic@users.noreply.github.com>
Date: Sun, 12 May 2024 11:33:35 -0400
Subject: [PATCH] Update rag_api.mdx

---
 pages/docs/configuration/rag_api.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pages/docs/configuration/rag_api.mdx b/pages/docs/configuration/rag_api.mdx
index e55d22e16..56feda8bc 100644
--- a/pages/docs/configuration/rag_api.mdx
+++ b/pages/docs/configuration/rag_api.mdx
@@ -25,7 +25,7 @@ To set up the RAG API with LibreChat, follow these steps:
 
 ### Docker Setup
 
-For Docker, the setup is configured for you in both the default `docker-compose.yml` and `deploy-compose.yml` files, and you will just need to make sure you are using the latest docker image and compose files. Make sure to read the [Updating LibreChat guide for Docker](../install/installation/docker_compose_install.md#updating-librechat) if you are unsure how to update your Docker instance.
+For Docker, the setup is configured for you in both the default `docker-compose.yml` and `deploy-compose.yml` files, and you will just need to make sure you are using the latest docker image and compose files. Make sure to read the [Updating LibreChat guide for Docker](/docs/local/docker#update-librechat) if you are unsure how to update your Docker instance.
 
 Docker uses the "lite" image of the RAG API by default, which only supports remote embeddings, leveraging embeddings proccesses from OpenAI or a remote service you have configured for HuggingFace/Ollama.