Building RagentAI: An Enterprise Agentic RAG Platform
A deep dive into designing and deploying a production-grade Agentic RAG platform with MCP tools, intent recognition, and full-stack observability.
Overview
RagentAI is an enterprise-level Agentic RAG intelligent Q&A platform. It combines the power of large language models with external knowledge retrieval, intent recognition, MCP tool invocation, streaming responses, and end-to-end observability.
Architecture
The system consists of several key layers: Ingestion Pipeline (orchestrated document processing chain), Intent Recognition (tree-structured classification), Multi-Channel Retrieval (intent-directed + vector + Rerank), Generation Layer (SSE streaming with model routing), and MCP Tools (independent server for business execution).
Technical Highlights
The platform features full-stack observability with annotation-driven tracing (@RagTraceRoot/@RagTraceNode), React 18 admin panel, Spring Boot 3.5 backend, and support for multiple LLM providers with automatic fallback.