# OpenRAG

A single-package Retrieval-Augmented Generation platform, built on Langflow, Docling and OpenSearch, that lets users upload documents and query them through a chat interface with agentic, multi-agent workflows.

OpenRAG is a Retrieval-Augmented Generation platform that lets users upload, process and query documents through a chat interface backed by large language models and semantic search. It uses Langflow for document ingestion, retrieval workflows and intelligent nudges, and is built with FastAPI and Next.js, powered by OpenSearch, Langflow and Docling.

Its agentic RAG workflows add re-ranking and multi-agent coordination on top of a visual, drag-and-drop workflow builder for rapid iteration, and it ships pre-packaged so the core tools are already wired together. It also provides Python and TypeScript SDKs for integrating OpenRAG into other applications, and a built-in MCP server for use from coding agents.

Website: https://www.openr.ag