添加README

README.cn.md

@@ -26,8 +26,8 @@ MilvusPlus 是一个功能强大的 Java 库，旨在简化与 Milvus 向量数
 ```xml
 <dependency>
     <groupId>io.github.javpower</groupId>
-    <artifactId>MilvusPlus</artifactId>
+    <artifactId>milvus-plus-boot-starter</artifactId>
-    <version>0.0.1-SNAPSHOT</version>
+    <version>2.4.0</version>
 </dependency>
 ```
 
@@ -103,7 +103,7 @@ public static void main(String[] args) {
 
 ## 许可证
 
-MilvusPlus 是开源的，遵循 [MIT 许可证](https://github.com/yourusername/MilvusPlus/blob/master/LICENSE)。
+MilvusPlus 是开源的，遵循 [许可证](https://github.com/yourusername/MilvusPlus/blob/master/LICENSE)。
 
 ## 联系
 

README.md

@@ -0,0 +1,110 @@
+# MilvusPlus: Enhanced Operations for Vector Databases
+
+MilvusPlus is a powerful Java library that streamlines interactions with Milvus vector databases, offering an intuitive API for developers familiar with MyBatis-Plus style annotations and method invocations.
+
+## Table of Contents
+
+1. [Features](#features)
+2. [Getting Started](#getting-started)
+3. [Application Scenarios](#application-scenarios)
+4. [Annotations](#annotations)
+5. [Contributing](#contributing)
+6. [License](#license)
+
+## Features
+
+- **Annotation-based Configuration**: Similar to MyBatis-Plus, use annotations to configure your entity models.
+- **Intuitive API**: A straightforward API that makes vector database operations feel natural.
+- **Extensible**: Designed with extensibility in mind, allowing for easy addition of new features.
+- **Type-Safe**: Leverage Java's type safety to minimize errors.
+
+## Getting Started
+
+Add MilvusPlus to your project:
+
+**Maven:**
+```xml
+<dependency>
+    <groupId>io.github.javpower</groupId>
+    <artifactId>milvus-plus-boot-starter</artifactId>
+    <version>2.4.0</version>
+</dependency>
+```
+
+## Application Scenarios
+
+Vector databases are particularly useful in:
+
+- **Similarity Search**: Quickly find items most similar to a given vector.
+- **Recommendation Systems**: Recommend content based on user behavior and preferences.
+- **Image Retrieval**: Identify images most similar to a query image in a large database.
+- **Natural Language Processing**: Perform semantic searches by converting text to vectors.
+- **Bioinformatics**: Analyze and compare biological sequences like proteins and genomes.
+
+## Annotations
+
+MilvusPlus introduces several annotations to map your Java entities to Milvus collections:
+
+- `@MilvusCollection`: Denotes a Java class as a Milvus collection.
+- `@MilvusField`: Maps a Java field to a Milvus field with options for data type, dimension, and more.
+- `@MilvusIndex`: Defines an index on a Milvus field.
+
+Example usage:
+
+```java
+
+@Data
+@MilvusCollection(name = "face_collection") // 指定Milvus集合的名称
+public class Face {
+    @MilvusField(
+            name = "person_id", // 字段名称
+            dataType = DataType.Int64, // 数据类型为64位整数
+            isPrimaryKey = true, // 标记为主键
+            autoID = true // 假设这个ID是自动生成的
+    )
+    private Long personId; // 人员的唯一标识符
+
+    @MilvusField(
+            name = "face_vector", // 字段名称
+            dataType = DataType.FloatVector, // 数据类型为浮点型向量
+            dimension = 128, // 向量维度，假设人脸特征向量的维度是128
+            isPartitionKey = false // 假设这个字段不是分区键
+    )
+    @MilvusIndex(
+            indexType = IndexParam.IndexType.IVF_FLAT, // 使用IVF_FLAT索引类型
+            metricType = IndexParam.MetricType.L2, // 使用L2距离度量类型
+            indexName = "face_index", // 索引名称
+            extraParams = { // 指定额外的索引参数
+                    @ExtraParam(key = "nlist", value = "100") // 例如，IVF的nlist参数
+            }
+    )
+    private List<Float> faceVector; // 存储人脸特征的向量
+}
+```
+```
+public static void main(String[] args) {
+        MilvusWrapper<Face> wrapper=new MilvusWrapper();
+        List<Float> vector = Lists.newArrayList(0.1f,0.2f,0.3f);
+        MilvusResp<Face> resp = wrapper.lambda()
+                .eq(Face::getPersonId,1l)
+                .addVector(vector)
+                .query();
+    }
+
+
+```
+
+## Contributing
+
+Contributions are welcome!
+
+- Report issues or suggest features by [opening an issue](https://github.com/yourusername/MilvusPlus/issues/new).
+- Submit changes by [creating a pull request](https://github.com/yourusername/MilvusPlus/compare).
+
+## License
+
+MilvusPlus is open source and available under the [License](https://github.com/yourusername/MilvusPlus/blob/master/LICENSE).
+
+## Contact
+
+For questions or support, reach out to [javpower@163.com](mailto:javpower@163.com).