Evaluate AI · Documentation profile
Ragas
Evaluation library for AI applications, including retrieval-augmented generation.
Primary documentation reviewed 2026-10-15. No hands-on testing, score or ranking.
Official project and documentation ↗When it fits
Evaluate retrieval and answer behavior as part of an iterative development loop.
Limitations and setup
Model-judged evaluations depend on the evaluator and dataset; inspect examples as well as aggregate scores.
Suggested first trial
Compare two retrieval configurations on the same small labeled question set.
Editorial suggestion; this experiment has not been run by Moyan.
An alternative to investigate
DeepEvalPython evaluation framework for test cases, metrics and agent trajectories.
Compare these workflows against your task; this is not a performance ranking.
Evidence and selection notes
Capabilities and setup notes are based on the linked primary documentation. Trial ideas and cautions about evaluation quality are editorial guidance. Check current licensing, model-provider charges and hardware requirements before adoption.
https://docs.ragas.io/en/stable/