An immersive, hands-on exploration of Retrieval-Augmented Generation and intelligent AI assistants.
RAG to Reality is a practical AI & Data Science workshop where participants learn how modern AI systems retrieve information, reason over real-world data, and generate accurate, context-aware responses. The event focuses on transforming theoretical AI concepts into working systems that mirror how today’s smart assistant AI tools operate.
Through guided sessions and live demonstrations, participants will explore the full lifecycle of a retrieval based AI system - from document ingestion and semantic search to vector embeddings and response generation. Rather than heavy coding, the workshop emphasizes conceptual clarity, system design, and applied understanding, making it accessible to students from diverse technical backgrounds.
By the end of the workshop, participants will design and build their own personal AI assistant powered by RAG, capable of answering queries, analyzing documents, and delivering reliable, knowledge-grounded responses. Blending real - world use cases with interactive learning, RAG to Reality equips learners with industry-relevant skills in AI architecture, prompt engineering, and knowledge-based systems - preparing them to build smarter, more trustworthy AI applications for real-world use.
