Semantic Caching for RubyLLM: Cut Your AI Costs by 70%

SemanticCache integrates with RubyLLM to dramatically reduce AI API costs through intelligent caching. Instead of making redundant calls for semantically similar queries, it uses embedding vectors to identify equivalent questions and return cached responses. Real-world applications can achieve 70-90% cost savings, with support for multiple providers including local Ollama deployments and enterprise AWS Bedrock configurations.