Private deploymentRG GraphPilot private onboarding
Use RG GraphPilot inside your company network or integrate it into internal copilots, engineering platforms, design tools, and business systems.
relation-graph Relational Data Visualization and Editing
Enterprise cooperation / ServicesAI capability licensing and enterprise services
For teams that need private deployment, knowledge licensing, scenario delivery, and long-term coordination.
Private deployment here means running the RG GraphPilot agent inside your company or integrating it into your internal software. Licensing here means the private-use rights for the RG Graph Expert Knowledge Base.
RG GraphPilot private deployment RG Graph Expert KB licensing Scenario delivery and dedicated implementation Long-term enterprise services Private deployment LicensingRG Graph Expert KB licensing
Use the official knowledge asset privately across internal AI, RAG, agent, and knowledge-enhancement workflows.
DeliveryImplementation and long-term services
Fit for teams already moving through real delivery and needing scope alignment, integration, version governance, and follow-through.
Contact enterprise servicesIf you are moving a real project forward, start the human conversation here
It helps to include your stage, target scenario, whether private deployment or knowledge licensing is needed, and the timeline you are trying to hit.
Pre-sales / enterprise cooperationBest for fast discussion around procurement, cooperation path, project background, and delivery rhythm.
3235808353
Licensing / invoices / materialsBest when records, attachments, requirement descriptions, and follow-up coordination need to stay structured.
service@relation-graph.com
Why relation-graphWhy choose relation-graph
If you are deciding whether to build graph display, graph editing, AI collaboration, and long-term delivery on a controllable technical foundation, these are usually the core reasons to evaluate.
- Complete coverage for graph display and graph editing：relation-graph covers both graph display and graph editing in a mature and flexible way. It is suitable not only for visual graph views, but also for building truly interactive and editable graph applications.
- Native multi-framework support with strong consistency：It natively supports React, Vue, Svelte, and Web Components, while keeping strong cross-platform consistency across visual behavior, data structure, interaction logic, and technical concepts. That comes from a rational and stable technical architecture.
- Rich examples and documentation that keep evolving：The online examples and documentation continue to evolve and significantly reduce learning cost. Combined with AI, they also make it easier to turn ambitious ideas into working code quickly.
- Naturally suited for LLM and knowledge-base integration：Its clear architecture and usage model are highly legible to LLMs. If stronger internal AI performance is needed, the official knowledge-base license can be added for deeper AI integration.
- 100% MIT open source means controllable technical risk：relation-graph is MIT-licensed from the project itself through its dependencies, keeping the technical stack transparent and controllable, which is better suited for long-term enterprise use and integration.
Cooperation processA service process for Enterprise and knowledge-base customers
This flow is designed for customers interested in Enterprise services or RG Graph Expert Knowledge Base licensing. The first step is confirming whether we can solve the problem, then responding with a plan and quote based on standard plans and additional service hours.
01
Requirement discussion and solution response
The customer explains the requirement or issue, and our team first confirms whether we can solve it and what service path fits.
02
Solution and quotation confirmation
We provide the corresponding solution and quotation based on standard plans, extra service hours, and the concrete collaboration scope. After confirmation, the customer completes payment.
03
Technical support and collaborative delivery
Our team begins providing technical support and works with the customer to move the confirmed technical plan into implementation.
04
Long-term service
The engagement moves into sustained high-priority human response, long-term technical support, and follow-up collaboration.