Kamya Shah

Kamya Shah

The 5 Best RAG Evaluation Tools You Should Know in 2026

The 5 Best RAG Evaluation Tools You Should Know in 2026

TL;DR Evaluating Retrieval-Augmented Generation (RAG) systems requires specialized tooling to measure retrieval quality, generation accuracy, and end-to-end performance. This comprehensive guide covers the five essential RAG evaluation platforms: Maxim AI (end-to-end evaluation and observability), LangSmith (LangChain-native tracing), Arize Phoenix (open-source observability), Ragas (research-backed metrics framework), and DeepEval (pytest-style testing)
Kamya Shah
How to Ensure Quality of Responses in AI Agents: A Comprehensive Guide

How to Ensure Quality of Responses in AI Agents: A Comprehensive Guide

TL;DR Ensuring quality of AI agent responses requires a multi-layered approach combining automated evaluation, human oversight, and continuous monitoring. Key strategies include implementing pre-production testing with simulation environments, establishing quality metrics like task completion rates and factual accuracy, leveraging LLM-as-a-judge evaluation methods for scalable assessment, and maintaining production observability
Kamya Shah