ageerle/ruoyi-admin
RuoYi-AI admin panel for system management, model configuration, knowledge-base management, and workflow orchestration.
What it solves
It provides a centralized management interface for an enterprise-grade AI assistant platform. It allows administrators to handle system management, configure AI models, manage knowledge bases, and orchestrate workflows without needing to interact directly with the backend code.
How it works
Built with Vue 3 and Vite, the admin panel acts as the frontend management layer that connects to a backend service. It integrates with a broader ecosystem including a vector database (Weaviate) and object storage (MinIO) to manage the AI platform's underlying data and configurations.
Who it’s for
System administrators and platform operators who need to deploy and manage an AI assistant infrastructure for an organization.
Highlights
- Comprehensive Management: Covers model configuration, knowledge-base management, and workflow orchestration.
- Enterprise-Ready Stack: Developed using Vue 3, Vben Admin, and element-plus-x.
- Dockerized Deployment: Supports both one-command full-stack deployment and separate service builds for customization.
Related
- Project
ageerle/ruoyi-aiRuoYi AI is an open‑source, enterprise‑grade AI assistant platform. It combines multi‑model LLM access, local RAG with Milvus/Weaviate/Qdrant, a Langchain4j‑based multi‑agent framework, and a drag‑and‑drop visual workflow designer. Built on Spring Boot 3 (backend) and Vue 3 (frontend), it ships with Docker compose files for one‑click deployment of the backend, admin UI, user UI, and supporting services (MySQL, Redis, vector DBs, MinIO). The project provides separate repos for backend, admin panel, user frontend, and demo apps, and is licensed under MIT.
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