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If 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 cooperation

Business Email

Best for kicking off procurement discussion, cooperation planning, project background sharing, and delivery timeline coordination.

service@relation-graph.com
Licensing / invoices / materials

Email

Best when records, attachments, requirement descriptions, and follow-up coordination need to stay structured.

service@relation-graph.com

A 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.

Why relation-graph is trustworthy

The value of relation-graph is not only in feature count, but in delivery quality and long-term accumulation. It is not just about building something once, but about going live continuously with iterative and maintainable graph applications.

  • Complete capability backed by real-world validation:It fully covers graph display and graph editing, with a large set of scenario assets proven in real projects, not only demo-oriented examples.
  • Cross-framework consistency sharpened by high-frequency feedback:It natively supports React, Vue, Svelte, and Web Components, and keeps improving stability and usability through frequent issue exchanges with thousands of paying users.
  • Mature enterprise delivery experience with clear execution paths:It has supported close to one hundred enterprise customers and helped them roll out graph applications into their own systems in an orderly and efficient way.
  • A complete engineering support system:It has formed an end-to-end support system across documentation, examples, capability layering, and issue-closure workflows, and can be further amplified with official knowledge assets and AI workflows.
  • Controllable risk and long-term maintainability:Based on MIT open source and a clear architecture, it helps teams start fast while also supporting sustained releases, iteration, and long-term maintenance.