Abstract
Ready to elevate your AI applications beyond document retrieval? Join this hands-on workshop to build intelligent systems that combine the precision of Retrieval-Augmented Generation (RAG) with the autonomy of task-oriented AI agents.
Start by implementing a RAG pipeline for accurate information retrieval, then advance to creating agents that autonomously plan and execute complex tasks. Through guided exercises and real-world examples, you will learn when to use each approach and how to combine them effectively.
By the end of the session, you will have built a hybrid system capable of precise data retrieval and autonomous task execution—ready to tackle real-world challenges.
Objectives
– Understand RAG and AI agents’ principles and use cases
– Build a RAG pipeline for data retrieval
– Develop AI agents for autonomous task execution
– Combine RAG and AI agents into hybrid systems
– Explore best practices for real-world applications
Target Group
Beginners and intermediate practitioners in AI, data science, and machine learning
Prerequisites
Laptop with a modern web browser, Google Colab account (free) for hands-on exercises, basic programming knowledge (Python), familiarity with basic AI/ML concepts is helpful but not required