Evaluating the Effectiveness of Retrieval Augmented Generation (RAG) in Real-World Applications

Description

Talk by Nithish Raghunandanan https://www.socallinuxexpo.org/scale/22x/presentations/evaluating-effectiveness-retrieval-augmented-generation-rag-real-world With the rise of large language models (LLMs) enhanced by retrieval augmented generation (RAG), it has become essential to develop rigorous evaluation methodologies to assess their effectiveness across diverse use cases. RAG combines a model's generative capabilities with information retrieval, allowing for contextually relevant responses grounded in up-to-date, factual knowledge. This talk will focus on the unique challenges and best practices for evaluating RAG applications covering quantitative metrics (e.g., accuracy, relevance, etc).