Semantic dedup (CDEDUP): how it works and when to use it
Semantic dedup (CDEDUP), folds near-duplicate answers into clusters and reports the memory reclaimed, best run as scheduled off-peak maintenance. Here's how Crowkis does it and why it matters for cost and safety.
Your users ask the same things all day, phrased a hundred different ways. Semantic dedup (CDEDUP) is how Crowkis folds near-duplicate answers into clusters and reports the memory reclaimed, best run as scheduled off-peak maintenance.
How it works
Crowkis folds near-duplicate answers into clusters and reports the memory reclaimed, best run as scheduled off-peak maintenance. It runs inside one Redis-compatible engine, so it composes with semantic caching, agent memory, and the other intelligence layers instead of being a separate service you wire together.
CDEDUP
Why it matters
Repetitive LLM workloads are where the money is, and semantic caching can cut costs up to 60-70% on repetitive workloads. Semantic dedup (CDEDUP) is part of what makes that reuse safe rather than reckless, the difference between a cache you trust in production and one you audit after every incident. Drop it in over RESP, gRPC, REST, or MCP, no rewrite required.
Infrastructure earns the critical path one boring, verifiable feature at a time.