Rig
Build modular and scalable LLM Applications in Rust
Overview
Requirements
Recommended VPS
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 8
8 vCPU · 32256 MB · 400 GB
Affiliate disclosure
Docker Compose
# Generated by Run This Ai — docker-compose.yml
services:
rig:
image: efqykh/rig:latest
restart: unless-stopped
ports:
- 8080:8080
volumes:
- ./data/rig:/data
Related tools
NextChat
Cross-platform ChatGPT web UI with multi-model support for Ollama, Claude, Gemini, and more
Lobe Chat
Extensible, open-source ChatGPT alternative with plugins, knowledge base, and multi-LLM support
Open WebUI
User-friendly WebUI for LLMs (Ollama, OpenAI API)
text-generation-webui
Run local LLMs with a powerful web interface — text, vision, tool-calling, and OpenAI-compatible API
Streamlit
Build and share data apps in pure Python — fast
Gradio
Build and share delightful machine learning apps in Python
Guides & articles
Getting Started with Rig: Your First LLM Application in Rust
A hands-on tutorial to build your first LLM application with Rig in Rust. From basic completions to RAG and agent orchestration — step by step.
Rig: Build Modular LLM Applications in Rust – A Complete Guide
Discover Rig, the Rust-based LLM framework for building modular, scalable AI applications. Learn about its architecture, features, and why Rust is the future of LLM development.