Open-Source & Scenario FoundationOpen Source + Template Vault
relation-graph is built on a robust open-source foundation, coupled with ready-to-use source code covering over 200 graph application scenarios.
relation-graph Relational Data Visualization and Editing
Products & SolutionsFrom an open-source SDK to AI and enterprise graph delivery
relation-graph brings together an open-source graph SDK, AI development capabilities, scenario products, and enterprise delivery services to help teams move from evaluation to production rollout.
Open SDK AI products Scenario solutions Pricing & services这里是动态展示的关系图
Open-Source & Scenario Foundation AI development accelerationRG GraphPilot
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 assetRG Graph Expert Knowledge Base
Help internal AI, RAG, and agents understand relation-graph more accurately.
MIT Open SourceAbout the free and open nature of relation-graph
relation-graph is first an MIT-licensed open-source project, and also a relationship-data visualization component library supporting React, Vue 3, Vue 2, Svelte, and HTML/Web Components. With its API surface, you can also build highly interactive graph display and graph editing applications for complex scenarios.
You can use it for free, get the source code for free, and use it in commercial projects for free. The project repository is below.
https://github.com/seeksdream/relation-graph
Ready-to-Use Scenario Code ExamplesRG 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.
StudioArchitecture Studio
System architecture, topology, and dependency governance.
View examples StudioData Relationship
Data lineage, relationship tracing, and dependency analysis.
View examples MVPKnowledge Graph Management
For knowledge-graph entry, maintenance, review, and relationship inspection.
View services MVPNatural Language Graph Operations
Use natural language to query, rewrite, and continuously refine graphs.
View services StudioOrg/Equity Studio
Organization, equity, and industry relationship analysis.
View examples StudioFlow Studio
Workflow, approval flow, and process editor scenarios.
View examples StudioMermaid Pro Studio
Enhanced bidirectional editing scenarios between Mermaid syntax and visual graphs.
View related examples StudioIndustrial Product Designer
Starter templates for specialized product design software across various industrial verticals.
View examplesComplex relationship graph display
Well suited to organization maps, dependency networks, knowledge graphs, and layered relationship views.
Loading graph showcase
AI productsGenerate graph applications with AI and give AI better graph knowledge
MCP / SKILLSRG GraphPilot
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.
- Outputs code that can continue to be understood, edited, and iterated by AI
- Can interact with and integrate into your existing system code
- Supports Vue 2, Vue 3, React, Svelte, and native HTML stacks
- Understands scenarios: can choose the most suitable viewing or editing approach from the needs and data you describe
- Understands algorithms: is fluent in dozens of professional graph layout and graph operation algorithms, including center, force, multiple tree layouts, workflow, area-based layouts, shortest path, data flow routing, grouping, undo and redo, and drag-to-create links
Official knowledge assetRG 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.
Product-to-solution mappingChoose the right combination by business goal
Look at the problem you need to solve first, then the product and service combination that fits it. The live scenario demo stays here to make the solution layer concrete.
Architecture, topology, and dependency governance
Recommended mix: RG Open, Architecture Studio, and Enterprise services for system architecture and dependency visibility.
Workflow editors and graph workspaces
Recommended mix: RG Open, Flow Studio, and graph-editing capabilities for workflows, approval flows, and configuration workspaces.
AI coding and knowledge enhancement
Recommended mix: RG GraphPilot, RG Graph Expert Knowledge Base private-use licensing, and enterprise services for AI coding, RAG, and agent scenarios.
Private deployment and long-term operation
Recommended mix: RG GraphPilot private deployment, RG Graph Expert Knowledge Base licensing, version governance, and long-term enterprise services for critical systems and continuous rollout.
Solutions Demo
Purchase and service pathsChoose 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 startDocs, examples, and open-source SDK
Best for evaluation, quick integration, and validating core graph capabilities.
Start from docs Reusable assetsRG Template Vault
Turn high-value examples into reusable template assets, reducing repeated setup and delivery trial-and-error.
Browse templates and examples AI accelerationGraphPilot + 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 rolloutAI 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 Knowledge-base licensingHow 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
Enterprise servicesAI 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 deploymentRG 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 LicensingRG 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 DeliveryImplementation 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