retrieval-augmented-generation-rag

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

🚀 100% local RAG system with one-command setup. Your data never leaves your server. Apache-2.0

Experimental RAG playground for exploring retrieval quality, corpus construction, and filter-chain design. Features configurable ranking and filtering pipelines, visual document grounding, chat interfaces, web search, Open WebUI integration, and rich debugging insights. Ollama and vLLM, running in Dev Containers or natively on Linux and Windows.