Every LLM API call costs money even when you've answered the exact same question 1,000 times before. Pearlite sits between your app and any LLM, intercepts semantically similar queries, and returns cached responses in <12ms instead of burning another API call. Not exact-match caching, semantic caching. "What's the price?" and "how much does it cost?" are the same question. Drop in 2 lines of code, keep your existing provider, and cut LLM spend by up to 60%.
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Maker
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Hey! 👋
We built Pearlite after watching our own LLM bill climb every month despite the fact that users were asking the same questions over and over in slightly different ways.
Exact-match caching didn't cut it. So we built semantic caching: we embed every query, find near-matches above a similarity threshold you control, and serve the cached response in under 12ms.
Works with OpenAI, Anthropic, Gemini, and any OpenAI-compatible API. Two lines of code to integrate, nothing to rearchitect.
Would love to hear from anyone building RAG pipelines, AI support bots, or LLM-powered copilots those are the use cases where we see 40–60% hit rates. Happy to answer anything! 🚀