ExternalSoftware Engineering
DZone
Offline Evaluation of RAG-Grounded Answers in LaunchDarkly AI Configs
This tutorial shows you how to run an offline LLM evaluation on the RAG-grounded support agent you built in the Agent Graphs tutorial, using LaunchDarkly AI Configs, the Datasets feature, and built-in LLM-as-a-judge scoring. You’ll build a RAG-grounded test dataset, run it through the Playground with a cross-family judge, and learn how to read each failing row as a dataset issue, an agent issue, or judge calibration noise. Here’s how it works. The LaunchDarkly Playground evaluates a single model
DZoneRead original
