Merge pull request #10 from codefuse-ai/modelcache_localDB_dev

update readme file with the latest news; update requirements;

Author: peng3307165

README.md

@@ -24,6 +24,7 @@ Codefuse-ModelCache
 - [Core-Features](#Core-Features)
 - [Acknowledgements](#Acknowledgements)
 ## news
+[2023.11.20] codefuse-ModelCache has integrated local storage, such as sqlite and faiss, providing users with the convenience of quickly initiating tests.
 [2023.08.26] codefuse-ModelCache...
 ### Introduction
 Codefuse-ModelCache is a semantic cache for large language models (LLMs). By caching pre-generated model results, it reduces response time for similar requests and improves user experience. <br />This project aims to optimize services by introducing a caching mechanism. It helps businesses and research institutions reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models.  Through open-source, we aim to share and exchange technologies related to large model semantic cache.

README_CN.md

@@ -10,7 +10,7 @@ Codefuse-ModelCache
     <p>
         <b>中文</b> |
         <a href="https://github.com/codefuse-ai/CodeFuse-ModelCache/blob/main/README.md">English</a>
-    <p>
+    </p>
 </h4>
 </div>
 
@@ -23,6 +23,7 @@ Codefuse-ModelCache
 - [架构大图](#架构大图)
 - [核心功能](#核心功能)
 ## 新闻
+[2023.11.20] codefuse-ModelCache增加本地存储能力, 适配了嵌入式数据库sqlite、faiss，方便用户快速启动测试。
 [2023.10.31] codefuse-ModelCache...
 ## 项目简介
 Codefuse-ModelCache 是一个开源的大模型语义缓存系统，通过缓存已生成的模型结果，降低类似请求的响应时间，提升用户体验。该项目从服务优化角度出发，引入缓存机制，在资源有限和对实时性要求较高的场景下，帮助企业和研究机构降低推理部署成本、提升模型性能和效率、提供规模化大模型服务。我们希望通过开源，分享交流大模型语义Cache的相关技术。

requirements.txt

@@ -9,3 +9,4 @@ PyMySQL==1.1.0
 Requests==2.31.0
 torch==2.1.0
 transformers==4.34.1
+faiss-cpu==1.7.4