Smart ranking of retrieved candidates matters more than upfront structuring—a simple deterministic pipeline with just one learned ranking component outperforms complex memory systems on conversational retrieval tasks.
SmartSearch retrieves relevant information from raw conversation history without complex structuring or learned policies. It combines simple matching, rule-based expansion, and ranking to find evidence efficiently, achieving 93.5% accuracy on benchmarks while using 8.5x fewer tokens than baselines.