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In this webinar, “Evaluating RAG System Performance at Scale,” you will learn practical strategies to benchmark and optimize Retrieval-Augmented Generation (RAG) systems across large datasets, high query volumes, and complex enterprise use cases. Discover how to move beyond ad-hoc testing and build an evaluation pipeline that continuously tracks quality, latency, and cost as your RAG applications scale. What you’ll learn: Core RAG evaluation metrics: retrieval precision/recall, groundedness, answer quality, relevance, and robustness in production-like settings. How to design scalable evaluation datasets, including synthetic and real user queries, to stress-test your pipeline before and after deployment. Techniques for monitoring RAG performance over time, catching regressions, and running A/B experiments on retrievers, rankers, models, and prompts. Best practices for evaluating different RAG architectures (vanilla RAG, hybrid search, multi-vector, agentic retrieval) when optimizing for both quality and latency. How to connect evaluation signals to concrete improvements in data quality, chunking strategies, retriever configuration, and generation settings. Who this webinar is for: ML engineers and data scientists building or maintaining RAG-powered applications. AI product teams responsible for reliability, quality, and user experience of LLM features. Architects and tech leads looking to standardize RAG evaluation across teams and projects. Use this webinar to build a repeatable evaluation framework so you can confidently answer: “Is our RAG system actually getting better as we scale?” keywords: evaluating rag, rag evaluation, rag metrics, rag at scale, rag performance, retrieval augmented generation, llm evaluation, rag benchmarks, enterprise rag, rag production, rag quality, rag monitoring, scalable rag systems, ai evaluation, llm observability 👍 Like, comment, and share your questions below to be featured in our next stream! 📢 Subscribe for more AI/ML tutorials, webinars, and hands-on projects! #MultimodalSearch #ArtificialIntelligence #MachineLearning #AI #MLTutorial #VectorSearch #DeepLearning #AIWebinar #PythonAI #DataScience #AIEngineering #MLOps #VectorDatabase #SemanticSearch For more details: Facebook : https://www.facebook.com/Datavalleyai/ Instagram : https://www.instagram.com/datavalley.ai/ Twitter : https://twitter.com/Datavalley_ai LinkedIn : https://www.linkedin.com/company/datavalley-ai/ Website : https://datavalley.ai/ WhatsApp : https://api.whatsapp.com/send/?phone=919256899199 Also, do not forget to join us on our website's : 1. Community Site: https://community.datavalley.ai/ 2. News Site: https://news.datavalley.ai/ and be the first to hear about the latest news and updates. 📧 For any inquiries or collaboration opportunities, please contact us at : info@datavalley.ai 🔥 Interested in Attending Live Classes? Call Us: IN - +91 9256899199 /9138 981 888 / US - +1 3027226197