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guidesJune 20, 2026· 4 min read

Cache Rig (Rust) in your AI search with Crowkis

Building AI search on Rig (Rust)? Add a semantic cache so popular queries hit again and again stop costing full price.

AI search built on Rig (Rust) share one problem: popular queries hit again and again. Each repeat is a full-price Rig (Rust) call for an answer you already have.

Put a semantic cache in front. Point Rig (Rust)'s base URL at the Crowkis OpenAI-compatible gateway, or wrap the call in get-or-compute, and reworded repeats are served from cache, no rewrite of your AI search logic.

Rig (Rust) + Crowkis
base_url = "http://127.0.0.1:6380/v1"   # Crowkis gateway, semantic cache in front
In plain words: The AI search keep working exactly as before; the repeats just stop hitting the model.

On repetitive traffic this cuts costs up to 60-70% on repetitive workloads, and every hit carries a confidence score so reuse stays safe. It's one self-hosted binary, Redis-compatible, free to run.