Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Abstract: This article develops a gradient-based search algorithm for selective harmonic elimination (SHE) to address the problems of high-computational cost, low-convergence speed, modulation index ...