add todo list in readme.md

Author: peng3307165

README.md

@@ -251,11 +251,23 @@ In ModelCache, we adopted the main idea of GPTCache,  includes core modules: ada
    - Asynchronous log write-back capability for data analysis and statistics. 
    - Added model field and data statistics field for feature expansion.
 
-Future Features Under Development: 
+## Todo List
+### Adapter
+- [ ] Register adapter for Milvus：Based on the "model" parameter in the scope, initialize the corresponding Collection and perform the load operation.
+### Embedding model&inference
+- [ ] Inference Optimization: Optimizing the speed of embedding inference, compatible with inference engines such as FasterTransformer, TurboTransformers, and ByteTransformer.
+- [ ] Compatibility with Hugging Face models and ModelScope models, offering more methods for model loading.
+### Scalar Storage
+- [ ] Support MongoDB
+- [ ] Support ElasticSearch
+### Vector Storage
+- [ ] Adapts Faiss storage in multimodal scenarios.
+### Rank能力
+- [ ] Add ranking model to refine the order of data after embedding recall.
+### Service
+- [ ] Supports FastAPI.
+- [ ] Add visual interface to offer a more direct user experience.
 
-- [ ] Data isolation based on hyperparameters. 
-- [ ] System prompt partitioning storage capability to enhance accuracy and efficiency of similarity matching.
-- [ ] More versatile embedding models and similarity evaluation algorithms.
 ## Acknowledgements
 This project has referenced the following open-source projects. We would like to express our gratitude to the projects and their developers for their contributions and research.<br />[GPTCache](https://github.com/zilliztech/GPTCache)
 

README_CN.md

@@ -253,19 +253,19 @@ https://mp.weixin.qq.com/s/ExIRu2o7yvXa6nNLZcCfhQ
 ## Todo List
 ### Adapter
 - [ ] register adapter for Milvus：根据scope中的model参数，初始化对应Collection 并且执行load操作。
-Embedding model&inference
-- [ ] inference优化：优化embedding推理速度，适配fastertransformer, TurboTransformers, ByteTransformer等推理引擎
+### Embedding model&inference
+- [ ] inference优化：优化embedding推理速度，适配fastertransformer, TurboTransformers, ByteTransformer等推理引擎。
 - [ ] 兼容huggingface模型和modelscope模型，提供更多模型加载方式。
 ### Scalar Storage
-- [ ] Support MongoDB
-- [ ] Support ElasticSearch
+- [ ] Support MongoDB。
+- [ ] Support ElasticSearch。
 ### Vector Storage
-- [ ] 在多模态场景中适配faiss存储
-### Rank能力
-- [ ] 增加Rank模型，对embedding召回后的数据，进行精排
+- [ ] 在多模态场景中适配faiss存储。
+### Ranking
+- [ ] 增加Rank模型，对embedding召回后的数据，进行精排。
 ### Service
-- [ ] 支持fastapi
-- [ ] 增加前端界面，用于测试
+- [ ] 支持fastapi。
+- [ ] 增加前端界面，用于测试。
 
 ## 致谢
 本项目参考了以下开源项目，在此对相关项目和研究开发人员表示感谢。<br />[GPTCache](https://github.com/zilliztech/GPTCache)