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From an open-source graph SDK to an AI-ready graph application stack

relation-graph brings together an MIT-licensed graph SDK with AI development tools, knowledge assets, scenario products, and enterprise delivery services.

Native Support
React
Vue 3
Vue 2
Svelte
HTML

From visual experience to data structures, interaction logic, and technical concepts,

relation-graph stays remarkably consistent across platforms, end to end.

This reflects relation-graph's rigorously coherent architecture and its role as a reliable graph technology foundation---View architecture

Combined with AI + the RG graph expert knowledge base,

you only need to write once,

complex graph visualization / graph editing applications adapt cleanly across every platform.

Cross-platform is not the point. What matters is that relation-graph is flexible enough that, combined with the RG Graph Expert Knowledge Base, natural-language intent can directly drive implementation---View knowledge base
The 200+ multi-platform scenario examples on this site are built this way.
MIT licensed
LLM friendly
Mature, stable, and deeply flexible
Native isomorphic support across platforms
Enterprise-ready
这里是动态展示的关系图
Ready-to-Use Scenario Code Templates

RG Template Vault

Covers over 200 graph application scenarios, providing 7 Studio domains and enterprise-grade delivery support.

MCP / SKILLS

GraphPilot MCP

A graph-drawing agent built on the RG Graph Expert Knowledge Base and hundreds of relation-graph scenario patterns. It generates graph application code that remains AI-iterable, can interact with your own system code, and supports every frontend stack; RG GraphPilot better understands scenarios, data, and algorithms.

Official Knowledge Assets

Graph Expert AI Knowledge Base

A knowledge layer designed for AI grounding. It provides officially authorized structured corpus assets to help enterprise internal AI, RAG, or Agents accurately understand business scenarios and interaction implementations.

MIT licensed
Fit for technical validation and production projects
5 frontend stacks
Provides a consistent API and rendering experience across Vue 2, Vue 3, React, Svelte, and native HTML.
200+ scenarios
Covering workflows, graphs, dependencies, and org relationships
Display + editor
Not only for graph viewing, but also editors and whiteboard apps
AI products + enterprise services
RG GraphPilot, RG Expert KB private-use licensing, and enterprise integration services

Generate graph applications with AI and give AI better graph knowledge

Official knowledge asset

RG Graph Expert Knowledge Base

An official knowledge asset that packages relation-graph scenario know-how, technical rules, and interaction patterns for AI use.

  • Help internal AI, RAG, and agents understand relation-graph more accurately
  • Support retrieval, Q&A, prompts, and workflow integration
  • Fit internal knowledge enhancement and secondary development
Available with standard authorization and enterprise onboarding for internal AI, RAG, and knowledge-service scenarios.

RG Template Vault

200+ complete code examples for practical graph application scenarios, covering common business domains such as system architecture, data relationships, knowledge graphs, workflow editing, organizational and equity structures, Mermaid enhancements, and various workflow editors and vertical business designers.

Studio

Architecture Studio

System architecture, topology, and dependency governance.

View examples
Studio

Data Relationship

Data lineage, relationship tracing, and dependency analysis.

View examples
MVP

Knowledge Graph Management

For knowledge-graph entry, maintenance, review, and relationship inspection.

View services
MVP

Natural Language Graph Operations

Use natural language to query, rewrite, and continuously refine graphs.

View services
Studio

Org/Equity Studio

Organization, equity, and industry relationship analysis.

View examples
Studio

Flow Studio

Workflow, approval flow, and process editor scenarios.

View examples
Studio

Mermaid Pro Studio

Enhanced bidirectional editing scenarios between Mermaid syntax and visual graphs.

View related examples
Studio

Industrial Product Designer

Starter templates for specialized product design software across various industrial verticals.

View examples

Complex relationship graph display

Well suited to organization maps, dependency networks, knowledge graphs, and layered relationship views.

Loading graph showcase

Choose the right way to adopt relation-graph for your team

Whether you are evaluating the SDK, building reusable template assets, improving AI development efficiency, or planning enterprise deployment, you can continue from the entry that matches your stage.

Developer start

Docs, examples, and open-source SDK

Best for evaluation, quick integration, and validating core graph capabilities.

Start from docs
Reusable assets

RG Template Vault

Turn high-value examples into reusable template assets, reducing repeated setup and delivery trial-and-error.

Browse templates and examples
AI acceleration

GraphPilot + RG Graph Expert KB

RG GraphPilot is a graph-drawing agent built on the RG Graph Expert Knowledge Base and hundreds of relation-graph scenario patterns, while the knowledge base provides the official asset licensed for private internal AI use.

View AI products
Team rollout

AI capability licensing and enterprise services

Private deployment means running the RG GraphPilot agent inside your company or integrating it into internal software, while licensing refers to the private-use rights for the RG Graph Expert Knowledge Base, together with implementation and long-term enterprise services.

View services

How RG Graph Expert Knowledge Base is licensed

Suitable for internal AI, RAG, agent, and knowledge-enhancement scenarios, with standard licensing and enterprise onboarding options based on how your team uses it.

  • Enterprise plans can include commercial-use authorization
  • Non-Enterprise teams can ask for a standalone standard license
  • OEM, public API, training rights, and multi-entity expansion are available through addendum terms
Ask about licensing

AI capability licensing and enterprise services

Here, private deployment means running the RG GraphPilot agent inside your company or integrating it into internal software, while licensing refers to the private-use rights for the RG Graph Expert Knowledge Base, together with implementation support and long-term enterprise services.

RG GraphPilot private deployment RG Graph Expert KB licensing Implementation and long-term enterprise services
Private deployment

RG GraphPilot private onboarding

Run the RG GraphPilot drawing agent inside your company or integrate it directly into internal platforms, copilots, engineering consoles, and business software.

View integration paths
Licensing

RG Graph Expert KB licensing

Licensing here means the private-use rights for the RG Graph Expert Knowledge Base across internal AI, RAG, agent, and knowledge-enhancement workflows.

View licensing details
Delivery

Implementation and long-term services

Support integration, rollout, version governance, stable operation, and dedicated needs with services that match real enterprise delivery instead of generic product support.

Talk to the service team

Common questions

Quickly understand licensing, AI products, enterprise services, and typical usage scenarios.

Is relation-graph open source?

Yes. The SDK foundation remains MIT licensed and can be used for evaluation and commercial project integration.

What is the difference between GraphPilot and RG Graph Expert KB?

RG GraphPilot is a graph-drawing agent built on the RG Graph Expert Knowledge Base and hundreds of relation-graph scenario patterns. It generates graph application code that remains AI-iterable, can interact with your own system code, and supports every frontend stack; RG GraphPilot better understands scenarios, data, and algorithms. RG Graph Expert KB is the official knowledge asset and private-use licensing target behind that capability.

Can RG Graph Expert KB be imported into internal AI or RAG systems?

Yes. It is designed as an official knowledge asset for internal AI, RAG, prompt, and agent workflows.

How does Enterprise relate to knowledge-base authorization?

Enterprise plans can include commercial-use knowledge-base authorization, and teams that only need the knowledge base can also ask for a standalone standard license.

Does it support graph editors, whiteboards, and heavier interaction scenarios?

Yes. relation-graph can be used for graph editors, whiteboards, element-line editing, and other heavy interactive workspaces.

Where should an enterprise team start?

Start from the services page, describe your deployment model, business scenario, and licensing needs, and we can recommend the right path.