Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...
Going to the database repeatedly is slow and operations-heavy. Caching stores recent/frequent data in a faster layer (memory) ...
Companies spend thousands of dollars using GPT-4 for everything, when 80% of queries could be solved by models that are 10x cheaper. This gateway solves that automatically.