RushDB开源程序 是现代应用程序和 AI 的即时数据库。建立在 Neo4j 之上

一、软件介绍

文末提供程序和源码下载

      RushDB 改变了您处理图形数据的方式 — 不需要 Schema，不需要复杂的查询，只需推送数据即可。

二、Key Features  ✨ 主要特点

• Instant Setup: Be productive in seconds, not days
  即时设置 ：在几秒钟内提高工作效率，而不是几天
• Push Any JSON: Nested objects are automatically normalized into a graph
  推送任何 JSON： 嵌套对象自动规范化为图形
• Fractal API: Same query syntax everywhere - learn once, use everywhere
  Fractal API：到处都是相同的查询语法 - 一次学习，到处使用
• Vector Search: Comprehensive similarity search for AI-powered applications
  向量搜索 ：AI 驱动的应用程序的全面相似性搜索
• Zero Schema Headaches: We handle the data structure so you can focus on building
  零架构麻烦 ：我们处理数据结构，因此您可以专注于构建

三、1.0 中的新增功能

• Vector Search: Comprehensive vector search with similarity aggregates and query builder support
  矢量搜索 ：具有相似性聚合和查询生成器支持的综合矢量搜索
• Member Management: Complete workspace membership system with invitations and access controls
  成员管理 ：完整的工作区会员系统，带有邀请和访问控制
• Remote Database: Connect to existing Neo4j/Aura databases
  远程数据库 ：连接到现有的 Neo4j/Aura 数据库
• Enhanced Auth: Google OAuth support and improved authorization flows
  增强的身份验证 ：Google OAuth 支持和改进的授权流程
• Documentation: Reworked docs with clear tutorials and guides
  文档 ：重新设计的文档，提供清晰的教程和指南

四、Quick Start  🚀 快速开始

1. Get RushDB  1. 获取 RushDB

Option A: Use RushDB Cloud (Free Tier Available)
选项 A：使用 RushDB Cloud（提供免费套餐）

# Sign up and get an API token at app.rushdb.com
# No installation required!

Option B: Self-Host with Docker
选项 B：使用 Docker 自托管

docker run -p 3000:3000 \--name rushdb \-e NEO4J_URL='neo4j+s://your-instance.neo4j.io' \-e NEO4J_USERNAME='neo4j' \-e NEO4J_PASSWORD='password' \rushdb/platform

2. Start Building  2. 开始构建

Python  蟒

from rushdb import RushDBdb = RushDB("your-api-token")# Push any nested JSON - RushDB normalizes it into a graph
db.records.create_many("COMPANY",{"name": "Google LLC","rating": 4.9,"DEPARTMENT": [{"name": "Research & Development","PROJECT": [{"name": "Bard AI","budget": 1200000000,"EMPLOYEE": [{"name": "Jeff Dean","position": "Head of AI Research",}],}],}],},
)# Traverse relationships with intuitive nested queries
employees = db.records.find({"labels": ["EMPLOYEE"],"where": {"position": {"$contains": "AI"},"PROJECT": {"DEPARTMENT": {"COMPANY": {"rating": {"$gte": 4}}}},},
})

TypeScript/JavaScript

import RushDB from '@rushdb/javascript-sdk';const db = new RushDB("your-api-token");// Push data with automatic relationship creation
await db.records.createMany({label: "COMPANY",payload: {name: 'Google LLC',rating: 4.9,DEPARTMENT: [{name: 'Research & Development',PROJECT: [{name: 'Bard AI',EMPLOYEE: [{name: 'Jeff Dean',position: 'Head of AI Research',}]}]}]}
});// Simple queries that traverse complex relationships
const aiExperts = await db.records.find({labels: ['EMPLOYEE'],where: {position: { $contains: 'AI' },PROJECT: { DEPARTMENT: { COMPANY: { rating: { $gte: 4 } } } },},
});

五、RushDB 的 Fractal API 的强大功能

RushDB uses a consistent query structure across all operations:
RushDB 在所有作中使用一致的查询结构：

interface SearchQuery {labels?: string[];     // Filter by record labelswhere?: WhereClause;   // Filter by properties and relationshipslimit?: number;        // Maximum records to returnskip?: number;         // Records to skip (pagination)orderBy?: OrderByClause; // Sorting configurationaggregate?: AggregateClause; // Data aggregation
}

This approach means:  这种方法意味着：

• Learn Once, Use Everywhere: The same pattern works across records, relationships, labels, and properties
  一次学习，随处使用 ：相同的模式适用于记录、关系、标签和属性
• Predictable API: No surprises as you build more complex features
  可预测的 API：当您构建更复杂的功能时，不会有任何意外
• Self-Discovering Database: The graph knows its own structure and exposes it consistently
  Self-Discovering Database：图形知道自己的结构并始终如一地公开它
• Perfect for AI & RAG: AI agents can explore and generate queries on-the-fly
  非常适合 AI 和 RAG：AI 代理可以即时探索并生成查询

🛠️ Self-Hosting Options  🛠️ 自托管选项

Requirements  要求

• Neo4j: Version 5.25.1 or higher
  Neo4j： 版本 5.25.1 或更高版本
• APOC Plugin: Required and can be installed either via volume mount or auto-install
  APOC 插件 ：必需，可以通过卷挂载或自动安装进行安装
• Graph Data Science Plugin: Required for advanced features like vector search and aggregations
  Graph Data Science Plugin：矢量搜索和聚合等高级功能需要

Docker Compose Setup  Docker Compose 设置

version: '3.8'
services:rushdb:image: rushdb/platformcontainer_name: rushdbports:- "3000:3000"environment:- NEO4J_URL=neo4j+s://your-instance.neo4j.io- NEO4J_USERNAME=neo4j- NEO4J_PASSWORD=password- RUSHDB_LOGIN=admin- RUSHDB_PASSWORD=secure-password

View all environment variables
查看所有环境变量

Development setup with local Neo4j
使用本地 Neo4j 进行开发设置

version: '3.8'
services:rushdb:image: rushdb/platformcontainer_name: rushdbdepends_on:neo4j:condition: service_healthyports:- "3000:3000"environment:- NEO4J_URL=bolt://neo4j- NEO4J_USERNAME=neo4j- NEO4J_PASSWORD=passwordneo4j:image: neo4j:5.25.1healthcheck:test: [ "CMD-SHELL", "wget --no-verbose --tries=1 --spider localhost:7474 || exit 1" ]interval: 5sretries: 30start_period: 10sports:- "7474:7474"- "7687:7687"environment:- NEO4J_ACCEPT_LICENSE_AGREEMENT=yes- NEO4J_AUTH=neo4j/password- NEO4J_PLUGINS=["apoc", "graph-data-science"]

CLI Commands  CLI 命令

View available CLI commands
查看可用的 CLI 命令

Create a New User

rushdb create-user [e-mail] securepassword123

Update User Password

rushdb update-password [e-mail] newsecurepassword456

六、软件下载

迅雷云盘

本文信息来源于GitHub作者地址：GitHub - rush-db/rushdb: RushDB is an Instant Database for Modern Apps & AI. Built on top of Neo4j.