🚀 Get ready to dive into "Evaluating RAG Applications: From Retrieval to Response Quality" with Srinivas Chitta from @thoughtworks! Learn how to assess and enhance RAG applications for better AI performance. 💡🔗bit.ly/4oGcxIo #TestMuConf2025 #AI #LambdaTest

Srinivas Chitta breaking down RAG evaluation metrics at #TestMuConf! Context precision, recall, faithfulness & answer relevancy - the 4 pillars of measuring RAG app quality#RAG #AI #Testing #MachineLearning

@thoughtworks Live RAG evaluation demo by Srinivas Chitta.Building a restaurant finder app and testing it with Ragas: ✅ Auto-evaluation using LLM as judge ✅Context retrieval validation ✅CI/CD integration with pytest ✅Scoring from 0-1 for precision metricsOnly at #TestMuConf!

Srinivas Chitta now taking Q&A at #TestMuConf after his RAG evaluation demo.First question on reducing hallucinations and ensuring response accuracy. His answer: Focus on the generator part of testing using answer relevancy and faithfulness metrics. These two parameters help determine if responses match queries without hallucination.Great practical questions from the audience on real-world RAG challenges.Catch him live at #TestMuConf