fix:milvus readme

README.md

@@ -194,7 +194,9 @@ To use multiple models, modify the LLM_MODEL parameter in the .env configuration
 
 1.Place personal knowledge files or folders in the pilot/datasets directory.
 
-2.Run the knowledge repository script in the tools directory.
+2.set .env configuration set your vector store type, eg:VECTOR_STORE_TYPE=Chroma, now we support Chroma and Milvus(version > 2.1)
+
+3.Run the knowledge repository script in the tools directory.
 
 ```bash
 & python tools/knowledge_init.py
@@ -204,7 +206,7 @@ To use multiple models, modify the LLM_MODEL parameter in the .env configuration
 
 ```
 
-3.Add the knowledge repository in the interface by entering the name of your knowledge repository (if not specified, enter "default") so you can use it for Q&A based on your knowledge base. 
+4.Add the knowledge repository in the interface by entering the name of your knowledge repository (if not specified, enter "default") so you can use it for Q&A based on your knowledge base. 
 
 Note that the default vector model used is text2vec-large-chinese (which is a large model, so if your personal computer configuration is not enough, it is recommended to use text2vec-base-chinese). Therefore, ensure that you download the model and place it in the models directory.
 

README.zh.md

@@ -194,6 +194,8 @@ $ python webserver.py
 
 2.在.env文件指定你的向量数据库类型,VECTOR_STORE_TYPE(默认Chroma),目前支持Chroma,Milvus(需要设置MILVUS_URL和MILVUS_PORT)
 
+注意Milvus版本需要>2.1
+
 3.在tools目录执行知识入库脚本（）
 
 如果是选择默认知识库，不需要指定 --vector_name, 默认default

requirements.txt

@@ -46,7 +46,7 @@ wandb
 llama-index==0.5.27
 pymysql
 unstructured==0.6.3
-grpcio==1.54.2
+grpcio==1.47.5
 
 auto-gpt-plugin-template
 pymdown-extensions