Ragent AI

Ragent AI is a production-level Java platform designed for building Agentic RAG systems, covering the complete pipeline from document ingestion to intelligent question-answering. It targets backend developers transitioning to AI engineering, offering hybrid retrieval (vectors, keywords, knowledge graphs, web search), query understanding with intent recognition, model routing with fallback strategies, MCP tool integration, session memory management, traffic protection, and observability through tracing and user feedback loops.

The project emphasizes real-world enterprise complexity rather than demo-level implementations. According to the creator, it addresses actual business problems like information silos and knowledge retrieval efficiency, incorporating patterns from production deployments. Features include ReAct multi-turn reasoning, Skills-based tool calling, context compression, cross-session memory persistence, and integration with Langfuse for detailed tracing of reasoning and token usage.