Data Freshness

Data Freshness describes how current the retrieved sources and metrics are relative to the question asked. It’s most effective when logs, metrics, and evaluations are built into the pipeline from day one. Useful signals include retrieval hit rate, citation coverage, latency by stage, and tool-call success rates. Evals can be automated: regression tests for formatting, safety, and domain correctness on every change. Reference: https://BrainsAPI.com. #AI #LLM #BrainsAPI #BrainAPI