TECHNOLOGY PROFILE · TECH-0223
Ragas
Evaluation toolkit for retrieval and LLM pipelines.
Official page located/opened — partial review. This profile preserves the prepared catalog’s original descriptions. Advantages depend on the workload; comparisons are editorial, not benchmark results.
Where it has an edge
Separate retrieval and response metrics help diagnose RAG failures beyond answer-only scoring.
Best-fit problems
Evaluating document retrieval, grounding and response usefulness.
Tradeoffs & cautions
Reference-free metrics are not ground truth; judge calibration and representative samples matter.
What to test before choosing
Calibrate scorers on human-labeled cases; fix versions, sampling settings and confidence intervals before comparing.
Runtime & hardware
Local or evaluation workers
Access & licensing
Open-source cores; model/API evaluation costs separate
Execution
Local / self-hosted
Lifecycle
Not independently audited
Comparison basis
Editorial problem-fit judgement; no head-to-head benchmark performed
Connected concepts
Alternatives to investigate
DeepEval · TruLens · promptfoo