From 1388b5a063f2f9cf61d76f1f98abd33c34fb31e7 Mon Sep 17 00:00:00 2001
From: Fendy <40378371+septemberfd@users.noreply.github.com>
Date: Wed, 18 Oct 2023 15:41:06 +0800
Subject: [PATCH] update cover image for ingesting chaos blog (#272)

---
 ...nd-Handling-Unstructured-Data-Reliably-at-Scale-for-RAG.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/blog/en/Ingesting-Chaos-MLOps-Behind-Handling-Unstructured-Data-Reliably-at-Scale-for-RAG.md b/blog/en/Ingesting-Chaos-MLOps-Behind-Handling-Unstructured-Data-Reliably-at-Scale-for-RAG.md
index 2cd333a..2cb3327 100644
--- a/blog/en/Ingesting-Chaos-MLOps-Behind-Handling-Unstructured-Data-Reliably-at-Scale-for-RAG.md
+++ b/blog/en/Ingesting-Chaos-MLOps-Behind-Handling-Unstructured-Data-Reliably-at-Scale-for-RAG.md
@@ -5,7 +5,7 @@ title:
  Ingesting Chaos: The MLOps Behind Handling Unstructured Data Reliably at Scale for RAG 
 author: David Garnitz 
 date: 2023-10-16
-cover: assets.zilliz.com/69eba74e_4a9a_4c38_a2d9_2cde283e8a1d_e265515238.png
+cover: assets.zilliz.com/Ingesting_Chaos_20231017_110103_54fe2009cb.png
 tag: News
 tags: Milvus, Vector Database, Open Source, Data science, Artificial Intelligence, Retrieval Augmented Generation, RAG, Unstructured Data
 recommend: true
@@ -13,7 +13,7 @@ canonicalUrl: https://milvus.io/blog/Ingesting-Chaos-MLOps-Behind-Handling-Unstr
 ---
 
 
-![](https://assets.zilliz.com/69eba74e_4a9a_4c38_a2d9_2cde283e8a1d_e265515238.png)
+![](https://assets.zilliz.com/Ingesting_Chaos_20231017_110103_54fe2009cb.png)
 
 
 Data is being generated faster than ever before in every form imaginable. This data is the gasoline that will power a new wave of artificial intelligence applications, but these productivity enhancement engines need help ingesting this fuel. The wide range of scenarios and edge cases surrounding unstructured data makes it challenging to use in production AI systems.