Join Jithin James and Shahul ES, co-founders of RAGAS, a pioneering framework for evaluating retrieval-augmented generation, along with Erika Cardenas, a developer advocate at Weaviate. They delve into the innovative RAGAS score, which uses LLMs to evaluate generation and retrieval metrics, streamlining the evaluation process. The trio discusses optimizing RAG applications through various tuning strategies and the exciting potential of future technologies like fine-tuning smaller models and enhancing automated systems for smarter, efficient retrieval.
