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Slashing LLM Costs by 80% with Semantic Caching (GPTCache)

By Sayyed Abrar Akhtar โ€ข Published 2025-01-22
Store and retrieve previous LLM responses using vector similarity thresholds to eliminate redundant API calls.

Repeated user queries waste money and incur latency. Semantic caches compute input prompt embeddings and return stored answers instantly if cosine similarity exceeds 0.95.

Tags:#Optimization#Performance#LLMOps

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