From e80e66dc04f965d9fb3ecd9c0e675f9b2c3123e5 Mon Sep 17 00:00:00 2001
From: Ray <mailtangyu@gmail.com>
Date: Wed, 23 Apr 2025 17:57:17 +0800
Subject: [PATCH] Update README.md

---
 README.md | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/README.md b/README.md
index c8f0b74..aeb4462 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,14 @@
+### ⚠️ Bug Fix Notice
+
+A bug was introduced on April 18 and has now been fixed.  If you pulled the repo between April 18–23, please update to the latest version:
+
+```bash
+git pull origin main
+```
+
+Thanks for your understanding 🙏
+
+
 # 📄 PageIndex
 
 Are you frustrated with vector database retrieval accuracy for long professional documents? Traditional vector-based RAG relies on semantic *similarity* rather than true *relevance*. But what we truly need in retrieval is **relevance** — which requires **reasoning**. When working with professional documents that demand domain expertise and multi-step reasoning, similarity search often falls short.