From 775fd990adc6c78c3b8de63fb64ba2e858a1f8a4 Mon Sep 17 00:00:00 2001
From: rjarun8 <50106442+rjarun8@users.noreply.github.com>
Date: Sat, 22 Jul 2023 08:45:47 +0530
Subject: [PATCH] Update rag.en.mdx

---
 pages/techniques/rag.en.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pages/techniques/rag.en.mdx b/pages/techniques/rag.en.mdx
index 4694ca54d..34816bc15 100644
--- a/pages/techniques/rag.en.mdx
+++ b/pages/techniques/rag.en.mdx
@@ -22,4 +22,4 @@ This shows the potential of RAG as a viable option for enhancing outputs of lang
 
 More recently, these retriever-based approaches have become more popular and are combined with popular LLMs like ChatGPT to improve capabilities and factual consistency.
 
-You can find a [simple example of how to use retrievers and LLMs for question answering with sources](https://python.langchain.com/en/latest/modules/chains/index_examples/vector_db_qa_with_sources.html) from the LangChain documentation.
\ No newline at end of file
+You can find a [simple example of how to use retrievers and LLMs for question answering with sources](https://python.langchain.com/docs/modules/chains/popular/vector_db_qa) from the LangChain documentation.