One signed binary. Every feature compiled in. Free to run. Install Crowkis →
← back to the Roost
guidesMay 31, 2026· 4 min read

Cache LangChain.js in your AI search with Crowkis

Building AI search on LangChain.js? Add a semantic cache so popular queries hit again and again stop costing full price.

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

Put a semantic cache in front. Point LangChain.js'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.

LangChain.js + 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. Drop it in over RESP, gRPC, REST, or MCP, no rewrite required.