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Explore the journey of building a Retrieval Augmented Generation (RAG) system in this 12-minute conference talk by Wes Ladd, founder of Train GRC Academy. Delve into the critical challenges faced during development, including data quality issues, query engine complexities, and contextualization hurdles. Learn from Ladd's experiences as he shares valuable insights, pitfalls to avoid, and best practices for implementing RAG systems. Gain a comprehensive understanding of the highs and lows involved in the process, empowering you to make informed decisions in your own projects. Drawing from his extensive background in cybersecurity and experience working with Fortune 100 companies, Ladd offers a unique perspective on leveraging Large Language Models (LLMs) and associated technologies for research and reporting tools in the cybersecurity domain.
