LLM RAG Visualization Dashboard

The LLM RAG Visualization Dashboard is a lightweight React and Node.js application built to make Retrieval-Augmented Generation pipelines easier to inspect, explain, and debug. It can run as a simple raw Node backend or plug into n8n when a workflow layer makes orchestration easier. The dashboard renders JSON pipeline data into a readable interface so teams can trace retrieval, generation, and response flow without digging through logs. This implementation was deployed on DigitalOcean, but the architecture is intentionally portable. It supports open-source model runtimes including Ollama and llama.cpp, making it practical for private infrastructure, budget-friendly hosting, and teams that want control over their own AI stack.

Key Features

• •JSON-driven dashboard for visualizing RAG pipeline state and outputs
• •Works as a plain Node.js backend or with n8n for workflow orchestration
• •Supports open-source model runtimes including Ollama and llama.cpp
• •Portable infrastructure design despite the original DigitalOcean deployment
• •Simple React frontend for explaining complex AI flows to non-technical stakeholders
• •Useful for tracing retrieval, prompt context, generation steps, and final responses