> For the complete documentation index, see [llms.txt](https://docs.rierino.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rierino.com/introduction.md). # Introduction - [Low-Code Microservices & AI Agent Platform](https://docs.rierino.com/introduction/rierino-overview.md): Rierino is a low-code microservices and AI agent development platform with an architecture designed for scale and flexibility - [Rierino Use Cases](https://docs.rierino.com/introduction/rierino-use-cases.md): Rierino can boost development of any large scale backend heavy application, such as information management, decision automation, BPM, agentic operations & orchestration - [Platform Architecture](https://docs.rierino.com/introduction/platform-architecture.md): Headless, multi-tier microservices architecture with full control over security, scalability, integrations and deployment model - [Built with ML & AI](https://docs.rierino.com/introduction/built-with-ml-and-ai.md): Rierino natively supports embedding GenAI as well as traditional ML models and features into any UI, workflow or API through low-code configurations - [Rierino Claude Plugin](https://docs.rierino.com/introduction/built-with-ml-and-ai/rierino-claude-plugin.md): Connect Claude Code and Claude Desktop to Rierino with platform-aware skills, specialist agents, slash commands, and an authenticated MCP proxy. - [Rierino FAQ](https://docs.rierino.com/introduction/rierino-faq.md): This page lists frequently asked questions about Rierino platform positioning and architecture --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.rierino.com/introduction.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.