Why smarter AI caching sometimes makes everything slower

As AI systems like RAG pipelines and copilots scale, naive caching can degrade performance due to overhead from vector search and eviction policies. The article explores tradeoffs in Redis vector caching, showing that smarter caching strategies must balance hit rates with latency. A key takeaway: caching that works for small datasets often causes slowdowns under real-world traffic.