Ragas

6 stories

Stories

Topic: Ragas

Best Tools for Hallucination Detection in LLMs (2026)
An LLM can return a fluent, confident answer that contains unsupported claims, contradicts the retrieved context, or invents facts. Traditional application monitoring won’t catch any...
Opencontroller by lyzr BlogOct 7, 202614 min read
RAG Evaluation Metrics: Formulas and a Worked Example
RAG evaluation metrics with formulas and a worked example: precision@k, recall@k, MRR, nDCG, faithfulness and answer relevancy, plus why frameworks disagree.
TestMu AI BlogOct 5, 202633 min read
LLM-as-a-Judge for Low-Resource Languages: Adapting Ragas and Comparative Ranking for Romanian
Evaluating Retrieval-Augmented Generation (RAG) systems remains a challenge for Low-Resource Languages (LRLs), where standard reference-based metrics fall short.
arXiv - cs.CL (NLP)Oct 2, 20262 min read
Best Tools for Deterministic vs. LLM-Judge Evaluation
An agent passes every offline eval in CI. You ship it. Production breaks within a week, because a class of prompts your eval dataset never...
Opencontroller by lyzr BlogSep 28, 202616 min read
Research Paper Walkthrough: RAGAS Evals
Paper: https://arxiv.org/abs/2309.15217 The AI engineering cohort starts on 12th September 2026. A focused, intense 8-week program for software engineers who want real, production-grade AI skills. 00:00 Paper Reading 26:26 AI Cohort Description Website: https://aiengg.dev/ Cheers!
GKCSAug 18, 2026
Evaluation
Evaluation measures performance using metrics like precision, recall, and relevancy, providing a clear picture of your pipeline’s strengths and weaknesses using LLMs or ground-truth labels.
Haystack by deepsetJul 29, 20265 min read