From 3f8b6c5bbda7b3fcb1236c2bcb441094c1674d96 Mon Sep 17 00:00:00 2001
From: yichuan520030910320 <yichuan_wang@berkeley.edu>
Date: Mon, 21 Jul 2025 18:15:00 -0700
Subject: [PATCH] [Readme]

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index e547f01..a0466de 100755
--- a/README.md
+++ b/README.md
@@ -30,9 +30,9 @@ LEANN achieves this through *graph-based selective recomputation* with *high-deg
 
 🔒 **Privacy:** Your data never leaves your laptop. No OpenAI, no cloud, no "terms of service".
 
-🪶 **Lightweight:** Smart graph pruning means less storage, less memory usage, better performance on your existing hardware.
+🪶 **Lightweight:** Graph-based recomputation eliminates heavy embedding storage, while smart graph pruning and CSR format minimize graph storage overhead. Always less storage, less memory usage!
 
-📈 **Scalability:** Organize our messy personal data that would crash traditional vector DBs, with performance that gets better as your data grows more personalized.
+📈 **Scalability:** Handle messy personal data that would crash traditional vector DBs, easily managing your growing personalized datasets.
 
 ✨ **No Accuracy Loss:** Maintain the same search quality as heavyweight solutions while using 97% less storage.