RAG Optimization: A Practical Overview for Improving Retrieval Augmented Generation

Explore practical techniques for optimizing Retrieval Augmented Generation (RAG) systems in this 22-minute video presentation by Snorkel AI Principal Research Scientist Chris Glaze. Learn how to enhance the power and reliability of large language models by fine-tuning multiple components of RAG systems, including document chunking, embedding models, and data enrichment. Discover strategies to maximize the effectiveness of your model's context window, moving beyond off-the-shelf components that often produce subpar results. Gain valuable insights into advanced RAG optimization methods to elevate the performance of your AI systems in enterprise applications.

RAG Optimization: A Practical Overview for Improving Retrieval Augmented Generation