Building and Evaluating End-to-End RAG System Part -1

Join us for an exclusive two-part webinar series that will revolutionize your approach to Retrieval-Augmented Generation (RAG) systems. Whether you're a seasoned AI professional or an enthusiastic newcomer, this comprehensive exploration of Building and Evaluating an End-to-End RAG system will equip you with cutting-edge knowledge and practical skills.

In our first session, we'll dive deep into the core of RAG technology. Master the fundamentals as we guide you through innovative data ingestion techniques, state-of-the-art text embedding strategies, and cutting-edge retrieval methods. Learn to craft robust RAG pipelines, leverage vector databases for optimal performance, and implement advanced similarity search approaches. We'll also explore the latest in reranking methods, groundbreaking RAG advancements, and teach you how to implement open-source and LLM-based evaluations to supercharge your systems.

Our second session takes your skills to the next level, focusing on advanced RAG architectures for complex applications. We'll push the boundaries of information retrieval techniques and share strategies for scaling and optimizing your RAG systems.