This beginner-friendly workshop introduces participants to the fundamentals of Retrieval-Augmented Generation (RAG) applications. Using a pre-configured Docker environment featuring Python, Elasticsearch for vector storage, and OpenAI as the LLM, attendees will learn how to build a RAG-powered conversational portal. Throughout the session, participants will create a RAG application to consume and query a sample dataset of Washington State regulation documents. Replace these sample documents with your own PDF files, and you’ll interact with your data in no time! By the end, attendees will...
Justin Castilla
![Justin Castilla](https://aiconusa.techwell.com/sites/default/files/styles/simplecrop_full_size/public/training/SME_photo/Justin-Castilla.jpeg?itok=Z_kPa1C6&sc=8f517cd0401de8a2fdaca03b3c6109a9)
Justin Castilla started his Software Engineering career as a Web Development Boot Camp Instructor where he developed a passion for exciting others with new concepts and empowering individuals with the tools needed to excel in their own right. As an Advocate at Redis, Justin created numerous videos breaking down Data Structures into easy-to-understand, relatable examples with real-world use cases. Now at Elastic, he has expanded into the realm of enhanced search, monitoring, and observability capabilities. In his spare time, Justin enjoys hiking around the Pacific Northwest, building hobby electronics, and collecting vintage music synthesizers. His love of hardware and software has led him into a deep exploration of IoT for practical applications as well as performance art!