add news in readme file

README.md

@@ -25,7 +25,8 @@ Codefuse-ModelCache
 - [Acknowledgements](#Acknowledgements)
 - [Contributing](#Contributing)
 ## news
-- [2023.11.20] codefuse-ModelCache has integrated local storage, such as sqlite and faiss, providing users with the convenience of quickly initiating tests.
+- 🔥🔥[2023.12.10] we integrate LLM embedding frameworks such as 'llmEmb', 'ONNX', 'PaddleNLP', 'FastText', alone with the image embedding framework 'timm', to bolster embedding functionality.
+- 🔥🔥[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

@@ -25,7 +25,8 @@ Codefuse-ModelCache
 - [致谢](#致谢)
 - [Contributing](#Contributing)
 ## 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。
+- 🔥🔥[2023.12.10] 增加llmEmb、onnx、paddlenlp、fasttext等LLM embedding框架，并增加timm 图片embedding框架，用于提供更丰富的embedding能力。
+- 🔥🔥[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。