Rig

Rig is a modern, open-source framework for creating high-performance AI agents and workflows in Rust. It gives developers a simple, unified interface to work with different large language models (LLMs) and embedding providers, all while harnessing Rust’s renowned speed and safety. With its modular architecture and type-safe design, Rig allows you to build everything from simple chatbots to advanced multi-agent and retrieval-augmented generation (RAG) systems efficiently and reliably—perfect for anyone who wants robust AI without the hassle.

Key Features:

• Unified API for all leading LLM providers, making it easy to switch or combine models without major code changes.
• Built-in, high-performance vector store integrations for lightning-fast search and retrieval.
• Zero-cost abstractions and strong type safety, eliminating runtime errors and making your apps safer.
• Ready-made modules for multi-agent workflows and advanced AI tasks like RAG.

Use Cases:

• Build reliable AI chatbots and assistants for customer support, education, or e-commerce.
• Develop knowledge search and recommendation systems with built-in semantic search features.
• Automate complex workflows and back-office operations using advanced, multi-agent setups.

Technical Specifications:

• Written in pure Rust, fully async-first for optimal performance and integration with Rust’s ecosystem (Tokio, Serde, etc.).
• Native support for top LLM/embedding providers (OpenAI, Anthropic, Cohere, Gemini, and more) and vector databases (Qdrant, Milvus, MongoDB, Neo4j, LanceDB).
• Flexible agent orchestration, including modular composition of tools, context management, and error handling.