mlimarenko/IronRAG — One-click knowledge system for documents, internal bots, and AI agents

Description and use

IronRAG (mlimarenko/IronRAG) is an open‑source, one‑click knowledge platform that lets you ingest, index, and query any set of documents through chat‑style interfaces, internal bots, or autonomous AI agents. Built with a modern frontend and a flexible backend powered by Retrieval‑Augmented Generation, it streamlines the creation of domain‑specific knowledge bases and developer tools without extensive configuration. Ideal for teams looking to add searchable AI assistance to their internal data quickly and securely.

Problem

mlimarenko/IronRAG helps connect AI assistants to real tools and data through a standard protocol.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

One-click knowledge system for documents, internal bots, and AI agents

Source