#rag

Your retrieval pipeline returns results. But does it return the right results? How New Computer used LangSmith's experiment framework to achieve 50% higher recall and 40% higher precision in agentic memory retrieval — and what you can steal from their approach.

Databricks trained an RL-based search agent on GLM 4.5 Air that beats Claude 4.6 and GPT 5.2 on enterprise knowledge retrieval — at a fraction of the cost.