r

rig

A library for building modular and extensible LLM applications using Rust.

🌍 OverseasFreeOpen source
Platforms: APISelf-hosted
Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 7.5k
Source
GitHub
Added
2026-06-05
Last verified
2026-06-05

Overview

Rig is a library built with Rust for creating modular and scalable large language model (LLM) applications. It addresses the complexity of multi-model integration during LLM application development and simplifies integration with various model providers and services through a unified interface. Developers can leverage Rig to quickly build feature-rich, maintainable applications. The tool is primarily targeted at technical teams aiming to improve development efficiency and focus on core business logic.

Key features

  • Supports 20+ model providers
  • 10+ vector storage integrations
  • Full WASM compatibility
  • Compliant with GenAI semantic specifications

Use cases

Chatbot developmentTerminal code assistantGenomics visualization toolGPU-accelerated terminal emulator

Pros

  • Reduces code redundancy
  • Improves development efficiency
  • Easy integration with multiple services

Limitations / notes

  • Future updates may include breaking changes

Who it's for

Software developersTechnical teamsResearchers

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

What programming languages does Rig support?

Rig is primarily written in Rust but provides WASM compatibility.

How do I get started with Rig?

Visit the official documentation for getting started guides and example code.

Something wrong? Let us know on the About page and we'll fix it.