Stop Wasting LLM Budgets: High-Performance Semantic Caching with Spring AI and pgvector

Stop Wasting LLM Budgets: High-Performance Semantic Caching with Spring AI and pgvector Your enterprise is likely bleeding thousands of dollars on duplicate LLM API calls because your Redis cache fails when a user asks "How do I reset my password?" instead of "Password reset steps." In 2026, relying on exact-string matching for LLM caching is a rookie mistake that kills both your latency and your budget. Why Most Developers Get This Wrong Exact-Match Obsession: Using traditional...