Rust framework for modular, scalable LLM applications
Worth a timeboxed spike before you bet on it.
Teams of 2‑20 with Rust developers needing custom LLM pipelines
Hand‑rolled Python glue code or costly LLM‑ops SaaS
Rust learning curve, sparse docs, few maintainers; you may end up maintaining core bugs yourself
Clone the repo, run the hello‑world example, and benchmark integration with your chosen LLM provider
The numbers
Maintainers describe it as: “⚙️🦀 Build modular and scalable LLM Applications in Rust”
rig, in short
- Should a small team use rig?
- Pilot it. Worth a timeboxed spike before you bet on it. Teams of 2‑20 with Rust developers needing custom LLM pipelines
- What does rig actually do?
- Rust framework for modular, scalable LLM applications
- What does rig replace?
- Hand‑rolled Python glue code or costly LLM‑ops SaaS
- What is the downside of rig?
- Rust learning curve, sparse docs, few maintainers; you may end up maintaining core bugs yourself
- Can rig be used in a commercial product?
- Its licence is MIT, which is permissive and generally fine for commercial use. Confirm against the LICENSE file in the repository.
Weighed against
One API in front of every model provider, with per-key spend limits, logging and automatic failover.
Makes fine-tuning open models substantially faster and small enough to fit on one consumer GPU.
AI engineering platform for LLMs
AI model testing and evaluation framework