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Apache-2.0

VectoRex

纯 Java 实现的高性能向量搜索引擎

VectoRex

简介

VectoRex 是一款高性能、可扩展的向量搜索引擎,专为现代 AI 和大数据应用设计。它具备轻量级、可嵌入和独立部署使用等优势,能够轻松应对推荐系统、图像搜索、自然语言处理等复杂场景,为开发者提供强大而灵活的搜索解决方案。

核心优势

  • 轻量级:无需依赖复杂的外部库,核心功能全部由 Java 实现,易于集成和部署,跨平台兼容,真正实现“一次编写,到处运行”。
  • 可嵌入:提供 starter、solon-plugin,引包即用,可快速集成到现有系统,无缝融入各类应用架构。
  • 独立部署:支持独立部署的检索服务,具备完整的功能体系,可通过 RESTful API 接口方便地与客户端进行交互,满足不同场景下的使用需求。
  • SDK:: 提供 Java、Golang、Python 客户端 SDK,支持与 VectoRex 服务的交互,为开发者提供便捷的集成体验。

为什么选择 VectoRex?

技术特点

  • 高性能搜索:基于先进的 HNSW 算法,支持大规模向量的快速搜索,为用户提供高效的近似最近邻搜索(ANN)体验。
  • 混合查询:巧妙融合向量搜索与标量过滤,支持复杂的查询场景,如查找与某张图片最相似的图片且图片标签为“风景”,或查找与某段文本最相似的文档且发布时间在最近一周内。
  • 持久化存储:内置高效的数据存储机制,确保大规模数据集的存储安全与快速恢复,保障数据的完整性和可靠性。
  • 灵活的索引管理:涵盖标量索引(倒排索引、范围索引)和向量索引,支持动态添加、删除和更新向量数据,满足多样化的索引需求。

使用便捷性

  • vectorex-starter:作为 Spring Boot Starter,它提供了自动配置和便捷的 API,帮助开发者在 Spring Boot 应用中轻松集成 VectoRex 功能。通过 Maven 引入 VectoRex 时,只需添加以下依赖:
    <dependency>
        <groupId>io.github.javpower</groupId>
        <artifactId>vectorex-starter</artifactId>
        <version>1.2.0</version>
    </dependency>
    
  • vectorex-solon-plugin:作为 solon 插件,它提供了自动配置和便捷的 API,帮助开发者在 Solon 应用中轻松集成 VectoRex 功能。通过 Maven 引入 VectoRex 时,只需添加以下依赖:
    <dependency>
        <groupId>io.github.javpower</groupId>
        <artifactId>vectorex-solon-plugin</artifactId>
        <version>1.2.0</version>
    </dependency>
    
  • vectorex-server:作为一个独立部署的检索服务,具备创建集合、添加数据、查询数据等完整功能,为用户提供灵活的部署选项。
     docker run -d -p 8080:8382 --name vectorrex-server javpower/vectorex-server:v1.0.0
    
  • vectorex-client:作为 Java 客户端 SDK,提供了与 VectoRex 服务交互的丰富接口,包括创建集合、添加数据、查询数据等,助力开发者便捷地在应用中集成 VectoRex 服务。通过 Maven 引入 VectoRex 客户端时,只需添加以下依赖:
    <dependency>
        <groupId>io.github.javpower</groupId>
        <artifactId>vectorrex-client</artifactId>
        <version>1.2.0</version>
    </dependency>
    
  • vectorex-client-go:作为 Go 客户端 SDK,提供了与 VectoRex 服务交互的丰富接口,包括创建集合、添加数据、查询数据等功能。通过 Go Modules 引入 VectoRex 客户端时,只需运行以下命令:
     go get github.com/javpower/VectoRex/vectorex-client-go
    

性能 benchmark

  • 待补充

应用场景

  • 推荐系统:精准定位与用户兴趣高度匹配的内容,提升推荐效果和用户体验。
  • 图像搜索:基于图像特征的相似性搜索,快速找到与目标图像相似的图片资源。
  • 自然语言处理:实现语义搜索和文本相似度计算,助力自然语言处理相关应用的高效运行。
  • 生物信息学:应用于基因序列比对和蛋白质结构搜索,为生物信息学研究提供有力支持。

友情链接

以下是一些与项目相关的推荐资源或合作伙伴:

名称 描述 链接
VectoRex VectoRex 项目的官方文档,包含详细的使用指南和 API 参考。 查看文档
ImageRex 基于VectoRex 的以图搜图系统 查看文档
MilvusPlus Milvus向量数据库增强操作库 查看文档
Dante Cloud “一套代码、两种架构”的企业级多租户微服务系统 查看文档
Warm-Flow 国产工作流引擎🎉,简洁轻量,jar包快速引入设计器 查看文档
Skyeye云 集成OA、CRM、ERP、MES、PM、行政等为一体智能制造软件。 查看文档


许可证

VectoRex 基于 Apache License 2.0 开源。详情请参阅 LICENSE 文件。


联系我们


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简介

VectoRex 是一个 纯 Java 实现 的高性能、可扩展的向量搜索引擎,专为现代 AI 和大数据应用设计。它结合了高效的向量索引(HNSW)和强大的标量索引(倒排索引、范围索引),支持复杂的混合查询(向量 + 标量),适用于推荐系统、图像搜索、自然语言处理等场景。 展开 收起
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