What is Rig?
Rig is a framework designed for building modular and scalable Large Language Model (LLM) applications using the Rust programming language. It provides developers with a unified API to access different LLM providers, simplifying integration and reducing the risk of vendor lock-in.
Rig takes full advantage of Rust's performance features, including zero-cost abstractions and memory safety, enabling high-performance LLM operations. The framework also includes pre-built, modular components for implementing complex AI systems, such as Retrieval-Augmented Generation (RAG) and multi-agent setups. Rig ensures robust and reliable LLM interactions through the application of Rust's strong type system, which provides compile-time correctness.
Features
- Unified LLM Interface: Consistent API across different LLM providers, simplifying integration and reducing vendor lock-in.
- Rust-Powered Performance: Leverage Rust's zero-cost abstractions and memory safety for high-performance LLM operations.
- Advanced AI Workflow Abstractions: Implement complex AI systems like RAG and multi-agent setups with pre-built, modular components.
- Type-Safe LLM Interactions: Utilize Rust's strong type system to ensure compile-time correctness in LLM interactions.
- Seamless Vector Store Integration: Built-in support for vector stores, enabling efficient similarity search and retrieval for AI applications.
- Flexible Embedding Support: Easy-to-use APIs for working with embeddings, crucial for semantic search and content-based recommendations.
Use Cases
- Building LLM applications requiring high performance and scalability.
- Implementing complex AI systems such as RAG and multi-agent setups.
- Developing applications that require efficient similarity search and retrieval.
- Creating applications needing semantic search and content-based recommendations.
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Rig Uptime Monitor
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Average Response Time
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