RG Template Vault
Covers over 200 graph application scenarios, providing 7 Studio domains and enterprise-grade delivery support.
relation-graph brings together an MIT-licensed graph SDK with AI development tools, knowledge assets, scenario products, and enterprise delivery services.
From visual experience to data structures, interaction logic, and technical concepts,
relation-graph stays remarkably consistent across platforms, end to end.
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.
Covers over 200 graph application scenarios, providing 7 Studio domains and enterprise-grade delivery support.
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.
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.
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.
An official knowledge asset that packages relation-graph scenario know-how, technical rules, and interaction patterns for AI use.
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.
System architecture, topology, and dependency governance.
View examplesData lineage, relationship tracing, and dependency analysis.
View examplesFor knowledge-graph entry, maintenance, review, and relationship inspection.
View servicesUse natural language to query, rewrite, and continuously refine graphs.
View servicesOrganization, equity, and industry relationship analysis.
View examplesWorkflow, approval flow, and process editor scenarios.
View examplesEnhanced bidirectional editing scenarios between Mermaid syntax and visual graphs.
View related examplesStarter templates for specialized product design software across various industrial verticals.
View examplesWell suited to organization maps, dependency networks, knowledge graphs, and layered relationship views.
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.
Best for evaluation, quick integration, and validating core graph capabilities.
Start from docsTurn high-value examples into reusable template assets, reducing repeated setup and delivery trial-and-error.
Browse templates and examplesRG 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 productsPrivate 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 servicesSuitable for internal AI, RAG, agent, and knowledge-enhancement scenarios, with standard licensing and enterprise onboarding options based on how your team uses it.
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.
Run the RG GraphPilot drawing agent inside your company or integrate it directly into internal platforms, copilots, engineering consoles, and business software.
View integration pathsLicensing here means the private-use rights for the RG Graph Expert Knowledge Base across internal AI, RAG, agent, and knowledge-enhancement workflows.
View licensing detailsSupport 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 teamQuickly understand licensing, AI products, enterprise services, and typical usage scenarios.
Yes. The SDK foundation remains MIT licensed and can be used for evaluation and commercial project integration.
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.
Yes. It is designed as an official knowledge asset for internal AI, RAG, prompt, and agent workflows.
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.
Yes. relation-graph can be used for graph editors, whiteboards, element-line editing, and other heavy interactive workspaces.
Start from the services page, describe your deployment model, business scenario, and licensing needs, and we can recommend the right path.